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Robert Noland

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. John V. Thomas & Robert Noland, 2005. "Multivariate analysis of trip-chaining behavior," ERSA conference papers ersa05p541, European Regional Science Association.

    Cited by:

    1. Kwon, Kihyun & Akar, Gulsah, 2022. "People with disabilities and use of public transit: The role of neighborhood walkability," Journal of Transport Geography, Elsevier, vol. 100(C).
    2. Veronique Acker & Frank Witlox, 2011. "Commuting trips within tours: how is commuting related to land use?," Transportation, Springer, vol. 38(3), pages 465-486, May.
    3. Bautista-Hernández, Dorian Antonio, 2022. "Individual, household, and urban form determinants of trip chaining of non-work travel in México City," Journal of Transport Geography, Elsevier, vol. 98(C).
    4. Tufayel Chowdhury & Darren M. Scott, 2020. "Role of the built environment on trip-chaining behavior: an investigation of workers and non-workers in Halifax, Nova Scotia," Transportation, Springer, vol. 47(2), pages 737-761, April.
    5. Steven R. Gehrke & Timothy F. Welch, 2017. "The built environment determinants of activity participation and walking near the workplace," Transportation, Springer, vol. 44(5), pages 941-956, September.
    6. Ta, Na & Zhao, Ying & Chai, Yanwei, 2016. "Built environment, peak hours and route choice efficiency: An investigation of commuting efficiency using GPS data," Journal of Transport Geography, Elsevier, vol. 57(C), pages 161-170.
    7. Naznin Sultana Daisy & Lei Liu & Hugh Millward, 2020. "Trip chaining propensity and tour mode choice of out-of-home workers: evidence from a mid-sized Canadian city," Transportation, Springer, vol. 47(2), pages 763-792, April.
    8. Wang, Rui, 2015. "The stops made by commuters: evidence from the 2009 US National Household Travel Survey," Journal of Transport Geography, Elsevier, vol. 47(C), pages 109-118.
    9. Yang, Dujuan & Timmermans, Harry & Grigolon, Anna, 2013. "Exploring heterogeneity in travel time expenditure of aging populations in the Netherlands: results of a CHAID analysis," Journal of Transport Geography, Elsevier, vol. 33(C), pages 170-179.
    10. João De Abreu e Silva, 2018. "The Effects of Land-Use Patterns on Home-Based Tour Complexity and Total Distances Traveled: A Path Analysis," Sustainability, MDPI, vol. 10(3), pages 1-16, March.
    11. Jan-Dirk Schmöcker & Fengming Su & Robert Noland, 2010. "An analysis of trip chaining among older London residents," Transportation, Springer, vol. 37(1), pages 105-123, January.
    12. Rafiq, Rezwana & McNally, Michael G., 2022. "A structural analysis of the work tour behavior of transit commuters," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 61-79.
    13. Pettersson, Pierre & Schmöcker, Jan-Dirk, 2010. "Active ageing in developing countries? – trip generation and tour complexity of older people in Metro Manila," Journal of Transport Geography, Elsevier, vol. 18(5), pages 613-623.
    14. Henly, Megan & Brucker, Debra L., 2019. "Transportation patterns demonstrate inequalities in community participation for working-age Americans with disabilities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 93-106.

  2. Robert B. Noland & Mohammed A. Quddus, 2003. "Congestion and Safety: A Spatial Analysis of London," ERSA conference papers ersa03p66, European Regional Science Association.

    Cited by:

    1. Schrage, Andrea, 2006. "Traffic Congestion and Accidents," University of Regensburg Working Papers in Business, Economics and Management Information Systems 419, University of Regensburg, Department of Economics.
    2. Daniel Albalate & Xavier Fageda, 2019. "Congestion, Road Safety, and the Effectiveness of Public Policies in Urban Areas," Sustainability, MDPI, vol. 11(18), pages 1-21, September.
    3. Geng, Kexin & Wang, Yacan & Cherchi, Elisabetta & Guarda, Pablo, 2023. "Commuter departure time choice behavior under congestion charge: Analysis based on cumulative prospect theory," Transportation Research Part A: Policy and Practice, Elsevier, vol. 168(C).
    4. Peck, Dana & Scott Matthews, H. & Fischbeck, Paul & Hendrickson, Chris T., 2015. "Failure rates and data driven policies for vehicle safety inspections in Pennsylvania," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 252-265.
    5. Ilias-Nikiforos Pasidis, 2015. "Congestion by accident? Traffic and accidents in England," ERSA conference papers ersa15p1321, European Regional Science Association.
    6. Stefan Bauernschuster & Timo Hener & Helmut Rainer, 2017. "When Labor Disputes Bring Cities to a Standstill: The Impact of Public Transit Strikes on Traffic, Accidents, Air Pollution, and Health," American Economic Journal: Economic Policy, American Economic Association, vol. 9(1), pages 1-37, February.
    7. Holgun-Veras, Jos & Cetin, Mecit, 2009. "Optimal tolls for multi-class traffic: Analytical formulations and policy implications," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(4), pages 445-467, May.
    8. Craig A. Talmage & Chad Frederick, 2019. "Quality of Life, Multimodality, and the Demise of the Autocentric Metropolis: A Multivariate Analysis of 148 Mid-Size U.S. Cities," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 365-390, January.
    9. Guo, Miao & Zhao, Xiaohua & Yao, Ying & Bi, Chaofan & Su, Yuelong, 2022. "Application of risky driving behavior in crash detection and analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 591(C).
    10. Holguín-Veras, José, 2011. "Urban delivery industry response to cordon pricing, time-distance pricing, and carrier-receiver policies in competitive markets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(8), pages 802-824, October.
    11. Fosgerau, Mogens & Lindsey, Robin, 2013. "Trip-timing decisions with traffic incidents," MPRA Paper 48708, University Library of Munich, Germany.
    12. Wang, Zhengli & Jiang, Hai, 2019. "Simultaneous correction of the time and location bias associated with a reported crash by exploiting the spatiotemporal evolution of travel speed," Transportation Research Part B: Methodological, Elsevier, vol. 123(C), pages 199-223.
    13. Castro-Nuño, Mercedes & Arévalo-Quijada, M. Teresa, 2018. "Assessing urban road safety through multidimensional indexes: Application of multicriteria decision making analysis to rank the Spanish provinces," Transport Policy, Elsevier, vol. 68(C), pages 118-129.
    14. Hanson, Christopher S. & Noland, Robert B. & Brown, Charles, 2013. "The severity of pedestrian crashes: an analysis using Google Street View imagery," Journal of Transport Geography, Elsevier, vol. 33(C), pages 42-53.
    15. Perez-Prada, Fiamma & Monzon, Andres, 2017. "Ex-post environmental and traffic assessment of a speed reduction strategy in Madrid's inner ring-road," Journal of Transport Geography, Elsevier, vol. 58(C), pages 256-268.
    16. Holgui­n-Veras, Jose & Cetin, Mecit & Xia, Shuwen, 2006. "A comparative analysis of US toll policy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(10), pages 852-871, December.
    17. Angus Eugene Retallack & Bertram Ostendorf, 2019. "Current Understanding of the Effects of Congestion on Traffic Accidents," IJERPH, MDPI, vol. 16(18), pages 1-13, September.
    18. Pirdavani, Ali & Bellemans, Tom & Brijs, Tom & Kochan, Bruno & Wets, Geert, 2014. "Assessing the road safety impacts of a teleworking policy by means of geographically weighted regression method," Journal of Transport Geography, Elsevier, vol. 39(C), pages 96-110.
    19. Daniel Albalate, 2013. "The Road against Fatalities: Infrastructure Spending vs. Regulation?," ERSA conference papers ersa13p221, European Regional Science Association.
    20. Robert Noland & Mohammed Quddus & Washington Ochieng, 2008. "The effect of the London congestion charge on road casualties: an intervention analysis," Transportation, Springer, vol. 35(1), pages 73-91, January.
    21. Albalate, Daniel & Fageda, Xavier, 2021. "On the relationship between congestion and road safety in cities," Transport Policy, Elsevier, vol. 105(C), pages 145-152.
    22. Tscharaktschiew, Stefan, 2020. "Why are highway speed limits really justified? An equilibrium speed choice analysis," Transportation Research Part B: Methodological, Elsevier, vol. 138(C), pages 317-351.
    23. Claudio Caterino & Luigi M. Solivetti, 2022. "Spatial distribution of serious traffic accidents and its persistence over time in Milan," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 76(1), pages 23-33, January-M.

  3. Olu Ashiru & John Polak & Robert B. Noland, 2003. "Development and Application of an Activity Based Space-Time Accessibility Measure for Individual Activity Schedules," ERSA conference papers ersa03p137, European Regional Science Association.

    Cited by:

    1. Dong, Xiaojing & Ben-Akiva, Moshe E. & Bowman, John L. & Walker, Joan L., 2006. "Moving from trip-based to activity-based measures of accessibility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(2), pages 163-180, February.

  4. Arnab Majumdar & Washington Ochieng & Robert B. Noland, 2003. "An Analysis of the Spatio-Temporal Factors Affecting Aircraft Conflicts Based on Simulation Modelling," ERSA conference papers ersa03p389, European Regional Science Association.

    Cited by:

    1. Valdés, Rosa Maria Arnaldo & Comendador, Victor Fernando Gómez & Castán, Javier Alberto Perez & Sanz, Alvaro Rodriguez & Sanz, Luis Perez & Ayra, Eduardo Sanchez & Nieto, Francisco Javier Saez, 2019. "Development of safety performance functions (SPFs) to analyse and predict aircraft loss of separation in accordance with the characteristics of the airspace," Reliability Engineering and System Safety, Elsevier, vol. 186(C), pages 143-161.

  5. Majumdar, Arnab & Noland, Robert & Ochieng, Washington Y., 2002. "A spatial and temporal analysis of seat-belt usage and seat-belt laws," ERSA conference papers ersa02p072, European Regional Science Association.

    Cited by:

    1. David J. Houston & Lilliard E. Richardson, Jr., 2006. "Reducing traffic fatalities in the American States by upgrading seat belt use laws to primary enforcement," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 25(3), pages 645-659.

  6. Noland, Robert & Quddus, Mohammed Abdul, 2002. "Improvements in medical care and technology and reductions in traffic-related fatalities in Great Britain," ERSA conference papers ersa02p079, European Regional Science Association.

    Cited by:

    1. Daniel J. Graham & Stephen Glaister, 2003. "Spatial Variation in Road Pedestrian Casualties: The Role of Urban Scale, Density and Land-use Mix," Urban Studies, Urban Studies Journal Limited, vol. 40(8), pages 1591-1607, July.
    2. Noland, Robert B., 2005. "Fuel economy and traffic fatalities: multivariate analysis of international data," Energy Policy, Elsevier, vol. 33(17), pages 2183-2190, November.

  7. Noland, Robert B. & Small, Kenneth A. & Koskenoja, Pia Maria & Chu, Xuehao, 1997. "Simulating Travel Reliability," University of California Transportation Center, Working Papers qt30w220k0, University of California Transportation Center.

    Cited by:

    1. Mickaël Beaud & Thierry Blayac & Maïté Stéphan, 2014. "Measurements and properties of the values of time and reliability," Working Papers 14-06, LAMETA, Universtiy of Montpellier, revised Jul 2014.
    2. Matthieu De Lapparent & Moshe Ben-Akiva, 2014. "Risk Aversion in Travel Mode Choice with Rank-Dependent Utility," Mathematical Population Studies, Taylor & Francis Journals, vol. 21(4), pages 189-204, December.
    3. Fosgerau, Mogens & Fukuda, Daisuke, 2010. "Valuing travel time variability: Characteristics of the travel time distribution on an urban road," MPRA Paper 24330, University Library of Munich, Germany.
    4. Benezech, Vincent & Coulombel, Nicolas, 2013. "The value of service reliability," Transportation Research Part B: Methodological, Elsevier, vol. 58(C), pages 1-15.
    5. Zhang, Yuli & Max Shen, Zuo-Jun & Song, Shiji, 2017. "Lagrangian relaxation for the reliable shortest path problem with correlated link travel times," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 501-521.
    6. Chakrabarti, Sandip & Giuliano, Genevieve, 2015. "Does service reliability determine transit patronage? Insights from the Los Angeles Metro bus system," Transport Policy, Elsevier, vol. 42(C), pages 12-20.
    7. Chen, Anthony & Zhou, Zhong & Lam, William H.K., 2011. "Modeling stochastic perception error in the mean-excess traffic equilibrium model," Transportation Research Part B: Methodological, Elsevier, vol. 45(10), pages 1619-1640.
    8. Mickaël Beaud & Thierry Blayac & Maïté Stéphan, 2016. "The impact of travel time variability and travelers' risk attitudes on the values of time and reliability," Post-Print hal-01923409, HAL.
    9. Matthias Sweet & Mengke Chen, 2011. "Does regional travel time unreliability influence mode choice?," Transportation, Springer, vol. 38(4), pages 625-642, July.
    10. Bhat, Chandra R. & Sardesai, Rupali, 2006. "The impact of stop-making and travel time reliability on commute mode choice," Transportation Research Part B: Methodological, Elsevier, vol. 40(9), pages 709-730, November.
    11. Chen, Xiaoming & Zhou, Xuesong & List, George F., 2011. "Using time-varying tolls to optimize truck arrivals at ports," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(6), pages 965-982.
    12. Thorhauge, Mikkel & Cherchi, Elisabetta & Rich, Jeppe, 2016. "How flexible is flexible? Accounting for the effect of rescheduling possibilities in choice of departure time for work trips," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 177-193.
    13. André de Palma & Nathalie Picard, 2006. "Route Choice Behaviour with Risk-Averse Users," Chapters, in: Aura Reggiani & Peter Nijkamp (ed.), Spatial Dynamics, Networks and Modelling, chapter 7, Edward Elgar Publishing.
    14. Jiang, Meilan & Morikawa, Takayuki, 2004. "Theoretical analysis on the variation of value of travel time savings," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(8), pages 551-571, October.
    15. Börjesson, Maria & Eliasson, Jonas & Franklin, Joel, 2012. "Valuations of travel time variability in scheduling versus mean-variance models," Working papers in Transport Economics 2012:2, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    16. André De Palma & Nathalie Picard, 2005. "Congestion on risky routes with risk adverse drivers," ERSA conference papers ersa05p423, European Regional Science Association.
    17. Pavithra Parthasarathi & Anupam Srivastava & Nikolas Geroliminis & David Levinson, 2011. "The importance of being early," Transportation, Springer, vol. 38(2), pages 227-247, March.
    18. André De Palma & Nathalie Picard & Matthieu De Lapparent, 2014. "Risky Time Prospects and Travel Demand," Mathematical Population Studies, Taylor & Francis Journals, vol. 21(4), pages 185-188, December.
    19. Amirgholy, Mahyar & Gonzales, Eric J., 2017. "Efficient frontier of route choice for modeling the equilibrium under travel time variability with heterogeneous traveler preferences," Economics of Transportation, Elsevier, vol. 11, pages 1-14.
    20. Xiao, Yu & Coulombel, Nicolas & Palma, André de, 2017. "The valuation of travel time reliability: does congestion matter?," Transportation Research Part B: Methodological, Elsevier, vol. 97(C), pages 113-141.
    21. Sandip Chakrabarti & Genevieve Giuliano, 2014. "Does service reliability influence transit patronage? Evidence from Los Angeles, and implications for transit policy," Working Paper 9297, USC Lusk Center for Real Estate.
    22. Javier Asensio & Anna Matas, 2007. "Commuters’ valuation of travel time variability in Barcelona," Working Papers wpdea0701, Department of Applied Economics at Universitat Autonoma of Barcelona.
    23. Berdica, Katja, 2002. "An introduction to road vulnerability: what has been done, is done and should be done," Transport Policy, Elsevier, vol. 9(2), pages 117-127, April.
    24. Rajesh S. Prabhu Gaonkar & V. Mariappan, 0. "Transportation time reliability appraisal in maritime context," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 0, pages 1-11.
    25. Kato, Hironori & Kaneko, Yuichiro & Soyama, Yoshihiko, 2014. "Economic benefits of urban rail projects that improve travel-time reliability: Evidence from Tokyo, Japan," Transport Policy, Elsevier, vol. 35(C), pages 202-210.
    26. Zhang, Dongqing & Wallace, Stein W. & Guo, Zhaoxia & Dong, Yucheng & Kaut, Michal, 2021. "On scenario construction for stochastic shortest path problems in real road networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    27. A. de Palma & C. Fontan & O. Mekkaoui, 2000. "Trip Timing for Public Transportation : An Empirical Application," THEMA Working Papers 2000-19, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    28. Siu, Barbara W.Y. & Lo, Hong K., 2008. "Doubly uncertain transportation network: Degradable capacity and stochastic demand," European Journal of Operational Research, Elsevier, vol. 191(1), pages 166-181, November.
    29. Ehrgott, Matthias & Wang, Judith Y.T. & Watling, David P., 2015. "On multi-objective stochastic user equilibrium," Transportation Research Part B: Methodological, Elsevier, vol. 81(P3), pages 704-717.
    30. Zhi-Chun Li & William Lam & S. Wong, 2009. "The Optimal Transit Fare Structure under Different Market Regimes with Uncertainty in the Network," Networks and Spatial Economics, Springer, vol. 9(2), pages 191-216, June.
    31. Yang, Xuejing & Low, Joyce M.W. & Tang, Loon Ching, 2011. "Analysis of intermodal freight from China to Indian Ocean: A goal programming approach," Journal of Transport Geography, Elsevier, vol. 19(4), pages 515-527.
    32. Nikhil Sikka & Paul Hanley, 2013. "What do commuters think travel time reliability is worth? Calculating economic value of reducing the frequency and extent of unexpected delays," Transportation, Springer, vol. 40(5), pages 903-919, September.
    33. Kanafani, Adib & Wang, Rui, 2010. "Measuring Multimodal Transport Level of Service," University of California Transportation Center, Working Papers qt9k74n1b5, University of California Transportation Center.
    34. Nebiyou Tilahun & David Levinson, 2005. "Value of Time Comparisons in the Presence of Unexpected Delay," Working Papers 000021, University of Minnesota: Nexus Research Group.
    35. Li, Hao & Tu, Huizhao & Hensher, David A., 2016. "Integrating the mean–variance and scheduling approaches to allow for schedule delay and trip time variability under uncertainty," Transportation Research Part A: Policy and Practice, Elsevier, vol. 89(C), pages 151-163.
    36. Agarwal, Sumit & Diao, Mi & Keppo, Jussi & Sing, Tien Foo, 2020. "Preferences of public transit commuters: Evidence from smart card data in Singapore," Journal of Urban Economics, Elsevier, vol. 120(C).
    37. Fernando Ordóñez & Nicolás E. Stier-Moses, 2010. "Wardrop Equilibria with Risk-Averse Users," Transportation Science, INFORMS, vol. 44(1), pages 63-86, February.
    38. Chikako Keumi & Hideki Murakami, 2010. "Role of schedule delays on passengers' choice of access modes: A case of Japan' s international airport," Discussion Papers 2010-59, Kobe University, Graduate School of Business Administration.
    39. Vinayak V Dixit & Laurent Denant-Boemont, 2014. "Is Equilibrium in Transport Pure Nash, Mixed or Stochastic? Evidence from Laboratory Experiments," Post-Print halshs-01103472, HAL.
    40. Chakrabarti, Sandip, 2015. "The demand for reliable transit service: New evidence using stop level data from the Los Angeles Metro bus system," Journal of Transport Geography, Elsevier, vol. 48(C), pages 154-164.
    41. Xing, Tao & Zhou, Xuesong, 2011. "Finding the most reliable path with and without link travel time correlation: A Lagrangian substitution based approach," Transportation Research Part B: Methodological, Elsevier, vol. 45(10), pages 1660-1679.
    42. Nebiyou Tilahun & David Levinson, 2006. "A Moment of Time: Reliability in Route Choice using Stated Preference," Working Papers 201004, University of Minnesota: Nexus Research Group.
    43. Small, Kenneth A., 2012. "Valuation of travel time," Economics of Transportation, Elsevier, vol. 1(1), pages 2-14.
    44. de Palma, André & Picard, Nathalie, 2005. "Route choice decision under travel time uncertainty," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(4), pages 295-324, May.
    45. Lesley Strawderman & Daniel W. Carruth & Kathleen Sherman-Morris & Philip Menard & Merrill Warkentin & Karen S. McNeal, 2018. "Individual transportation decisions under conditions of risk and uncertainty," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(2), pages 927-942, June.
    46. Hollander, Yaron, 2006. "Direct versus indirect models for the effects of unreliability," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(9), pages 699-711, November.
    47. Clark, Stephen & Watling, David, 2005. "Modelling network travel time reliability under stochastic demand," Transportation Research Part B: Methodological, Elsevier, vol. 39(2), pages 119-140, February.
    48. Watling, David, 2006. "User equilibrium traffic network assignment with stochastic travel times and late arrival penalty," European Journal of Operational Research, Elsevier, vol. 175(3), pages 1539-1556, December.
    49. Chen, Anthony & Zhou, Zhong, 2010. "The [alpha]-reliable mean-excess traffic equilibrium model with stochastic travel times," Transportation Research Part B: Methodological, Elsevier, vol. 44(4), pages 493-513, May.
    50. Rajesh S. Prabhu Gaonkar & V. Mariappan, 2020. "Transportation time reliability appraisal in maritime context," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(3), pages 736-746, June.
    51. Tan, Zhijia & Yang, Hai & Guo, Renyong, 2014. "Pareto efficiency of reliability-based traffic equilibria and risk-taking behavior of travelers," Transportation Research Part B: Methodological, Elsevier, vol. 66(C), pages 16-31.
    52. Li-Jun Tian & Hai-Jun Huang & Zi-You Gao, 2012. "A Cumulative Perceived Value-Based Dynamic User Equilibrium Model Considering the Travelers’ Risk Evaluation on Arrival Time," Networks and Spatial Economics, Springer, vol. 12(4), pages 589-608, December.
    53. Li, Zhi-Chun & Huang, Hai-Jun & Yang, Hai, 2020. "Fifty years of the bottleneck model: A bibliometric review and future research directions," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 311-342.
    54. Zhang, Yufeng & Khani, Alireza, 2019. "An algorithm for reliable shortest path problem with travel time correlations," Transportation Research Part B: Methodological, Elsevier, vol. 121(C), pages 92-113.
    55. Robin Lindsey, 2004. "Existence, Uniqueness, and Trip Cost Function Properties of User Equilibrium in the Bottleneck Model with Multiple User Classes," Transportation Science, INFORMS, vol. 38(3), pages 293-314, August.
    56. Nicolas Coulombel & André de Palma, 2014. "The marginal social cost of travel time variability," Post-Print hal-01100105, HAL.
    57. Giselle Moraes Ramos & Winnie Daamen & Serge Hoogendoorn, 2014. "A State-of-the-Art Review: Developments in Utility Theory, Prospect Theory and Regret Theory to Investigate Travellers' Behaviour in Situations Involving Travel Time Uncertainty," Transport Reviews, Taylor & Francis Journals, vol. 34(1), pages 46-67, January.

  8. Small, K. & Noland, R. & Koskenoja, P., 1995. "Socio-economic Attributes And Impacts Of Travel Reliability: A Stated Preference Approach," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt82n2w53k, Institute of Transportation Studies, UC Berkeley.

    Cited by:

    1. Soza-Parra, Jaime & Raveau, Sebastián & Muñoz, Juan Carlos, 2021. "Travel preferences of public transport users under uneven headways," Transportation Research Part A: Policy and Practice, Elsevier, vol. 147(C), pages 61-75.
    2. Levinson, David & Zhang, Lei, 2006. "Ramp meters on trial: Evidence from the Twin Cities metering holiday," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(10), pages 810-828, December.
    3. Lei Zhang & David Levinson, 2006. "Determinants of Route Choice and the Value of Traveler Information," Working Papers 200808, University of Minnesota: Nexus Research Group.
    4. A. de Palma & F. Marchal, 2001. "Implementation of a Dynamic Traffic Simulator to the Paris Area," THEMA Working Papers 2001-17, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    5. Obaidat, Mohammed T., 2006. "Industry Issue Paper: GIS Potential in Management of Pedestrian Accidents in Developing Countries," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 45(1).
    6. Thorhauge, Mikkel & Cherchi, Elisabetta & Rich, Jeppe, 2016. "How flexible is flexible? Accounting for the effect of rescheduling possibilities in choice of departure time for work trips," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 177-193.
    7. Noland, R.B. & Small, K.A. & Koskenoja, P.M. & Chu, X., 1996. "Simulating Travel Reliability," Papers 95-96-7, California Irvine - School of Social Sciences.
    8. Zhaoqi Zang & Xiangdong Xu & Kai Qu & Ruiya Chen & Anthony Chen, 2022. "Travel time reliability in transportation networks: A review of methodological developments," Papers 2206.12696, arXiv.org, revised Jul 2022.
    9. Yin-Yen Tseng, 2004. "A meta-analysis of travel time reliability," ERSA conference papers ersa04p415, European Regional Science Association.
    10. Carlos Carrion & David Levinson, 2010. "Value of Travel Time Reliability: A review of current evidence," Working Papers 000085, University of Minnesota: Nexus Research Group.
    11. Berdica, Katja, 2002. "An introduction to road vulnerability: what has been done, is done and should be done," Transport Policy, Elsevier, vol. 9(2), pages 117-127, April.
    12. Noland, Robert B., 1997. "Commuter Responses to Travel Time Uncertainty under Congested Conditions: Expected Costs and the Provision of Information," Journal of Urban Economics, Elsevier, vol. 41(3), pages 377-406, May.
    13. Arnott, Richard & Rowse, John, 1999. "Modeling Parking," Journal of Urban Economics, Elsevier, vol. 45(1), pages 97-124, January.
    14. Wang, Qian & Sundberg, Marcus & Karlström, Anders, 2013. "On the other half of the story: allowing for discrete penalties for excessive travel times in scheduling models," Working papers in Transport Economics 2013:15, CTS - Centre for Transport Studies Stockholm (KTH and VTI).

Articles

  1. Wang, Haoyun & Noland, Robert B., 2021. "Bikeshare and subway ridership changes during the COVID-19 pandemic in New York City," Transport Policy, Elsevier, vol. 106(C), pages 262-270.

    Cited by:

    1. Shirgaokar, Manish & Reynard, Darcy & Collins, Damian, 2021. "Using twitter to investigate responses to street reallocation during COVID-19: Findings from the U.S. and Canada," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 300-312.
    2. Shahram Heydari & Garyfallos Konstantinoudis & Abdul Wahid Behsoodi, 2021. "Effect of the COVID-19 pandemic on bike-sharing demand and hire time: Evidence from Santander Cycles in London," Papers 2107.11589, arXiv.org.
    3. Lucia Rotaris & Mario Intini & Alessandro Gardelli, 2022. "Impacts of the COVID-19 Pandemic on Bike-Sharing: A Literature Review," Sustainability, MDPI, vol. 14(21), pages 1-16, October.
    4. Elif Bozkaya & Levent Eriskin & Mumtaz Karatas, 2023. "Data analytics during pandemics: a transportation and location planning perspective," Annals of Operations Research, Springer, vol. 328(1), pages 193-244, September.
    5. Fan, Huiying & Lu, Hongyu & Guin, Angshuman & Watkins, Kari E & Guensler, Randall, 2022. "Combined Effect of Changes in Transit Service and Changes in Occupancy on Per-Passenger Energy Consumption," Institute of Transportation Studies, Working Paper Series qt2x1320p5, Institute of Transportation Studies, UC Davis.
    6. Ali El Zein & Adrien Beziat & Pascal Pochet & Olivier Klein & Stephanie Vincent, 2022. "What drives the changes in public transport use in the context of the COVID‐19 pandemic? Highlights from Lyon metropolitan area," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(S1), pages 122-141, November.
    7. Xin, Mengwei & Shalaby, Amer & Feng, Shumin & Zhao, Hu, 2021. "Impacts of COVID-19 on urban rail transit ridership using the Synthetic Control Method," Transport Policy, Elsevier, vol. 111(C), pages 1-16.
    8. Meng, Xin & Guo, Mingxue & Gao, Ziyou & Kang, Liujiang, 2023. "Interaction between travel restriction policies and the spread of COVID-19," Transport Policy, Elsevier, vol. 136(C), pages 209-227.
    9. Jiang, Shixiong & Cai, Canhuang, 2022. "Unraveling the dynamic impacts of COVID-19 on metro ridership: An empirical analysis of Beijing and Shanghai, China," Transport Policy, Elsevier, vol. 127(C), pages 158-170.
    10. Filipe Teixeira, João & Silva, Cecília & Moura e Sá, Frederico, 2022. "The role of bike sharing during the coronavirus pandemic: An analysis of the mobility patterns and perceptions of Lisbon’s GIRA users," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 17-34.
    11. Dehdari Ebrahimi, Zhila & Momenitabar, Mohsen & Nasri, Arefeh A. & Mattson, Jeremy, 2022. "Using a GIS-based spatial approach to determine the optimal locations of bikeshare stations: The case of Washington D.C," Transport Policy, Elsevier, vol. 127(C), pages 48-60.
    12. Danial Owen & Daniel Arribas-Bel & Francisco Rowe, 2023. "Tracking the Transit Divide: A Multilevel Modelling Approach of Urban Inequalities and Train Ridership Disparities in Chicago," Sustainability, MDPI, vol. 15(11), pages 1-18, May.
    13. Zhang, Xiang & Li, Wence, 2023. "Effects of a bike sharing system and COVID-19 on low-carbon traffic modal shift and emission reduction," Transport Policy, Elsevier, vol. 132(C), pages 42-64.
    14. Xinyi Xie & Mingyang Du & Xuefeng Li & Yunjian Jiang, 2023. "Exploring Influential Factors of Free-Floating Bike-Sharing Usage Frequency before and after COVID-19," Sustainability, MDPI, vol. 15(11), pages 1-17, May.
    15. Ziedan, Abubakr & Lima, Luiz & Brakewood, Candace, 2023. "A multiple mediation analysis to untangle the impacts of COVID-19 on nationwide bus ridership in the United States," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    16. Yi Cao & Xue Li, 2022. "Multi-Model Attention Fusion Multilayer Perceptron Prediction Method for Subway OD Passenger Flow under COVID-19," Sustainability, MDPI, vol. 14(21), pages 1-16, November.

  2. Wang, Sicheng & Noland, Robert B., 2021. "What is the elasticity of sharing a ridesourcing trip?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 153(C), pages 284-305.

    Cited by:

    1. Zwick, Felix & Axhausen, Kay W., 2022. "Ride-pooling demand prediction: A spatiotemporal assessment in Germany," Journal of Transport Geography, Elsevier, vol. 100(C).
    2. Yang, Hongtai & Luo, Peng & Li, Chaojing & Zhai, Guocong & Yeh, Anthony G.O., 2023. "Nonlinear effects of fare discounts and built environment on ridesplitting adoption rates," Transportation Research Part A: Policy and Practice, Elsevier, vol. 169(C).

  3. Noland, Robert B., 2021. "Scootin’ in the rain: Does weather affect micromobility?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 149(C), pages 114-123.

    Cited by:

    1. Stefan Gössling & Christoph Neger & Robert Steiger & Rainer Bell, 2023. "Weather, climate change, and transport: a review," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 118(2), pages 1341-1360, September.
    2. Cheng, Long & Huang, Jie & Jin, Tanhua & Chen, Wendong & Li, Aoyong & Witlox, Frank, 2023. "Comparison of station-based and free-floating bikeshare systems as feeder modes to the metro," Journal of Transport Geography, Elsevier, vol. 107(C).
    3. Tyndall, Justin, 2022. "Complementarity of dockless mircomobility and rail transit," Journal of Transport Geography, Elsevier, vol. 103(C).
    4. Kimpton, Anthony & Loginova, Julia & Pojani, Dorina & Bean, Richard & Sigler, Thomas & Corcoran, Jonathan, 2022. "Weather to scoot? How weather shapes shared e-scooter ridership patterns," Journal of Transport Geography, Elsevier, vol. 104(C).

  4. Robert B. Noland & Marc D. Weiner & Dong Gao & Michael P. Cook & Anton Nelessen, 2017. "Eye-tracking technology, visual preference surveys, and urban design: preliminary evidence of an effective methodology," Journal of Urbanism: International Research on Placemaking and Urban Sustainability, Taylor & Francis Journals, vol. 10(1), pages 98-110, January.

    Cited by:

    1. Yu Wu & Zhixiong Zhuo & Qunyue Liu & Kunyong Yu & Qitang Huang & Jian Liu, 2021. "The Relationships between Perceived Design Intensity, Preference, Restorativeness and Eye Movements in Designed Urban Green Space," IJERPH, MDPI, vol. 18(20), pages 1-16, October.
    2. Anciaes, Paulo & Jones, Peter, 2020. "Transport policy for liveability – Valuing the impacts on movement, place, and society," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 157-173.
    3. Nawaf Saeed Al Mushayt & Francesca Dal Cin & Sérgio Barreiros Proença, 2021. "New Lens to Reveal the Street Interface. A Morphological-Visual Perception Methodological Contribution for Decoding the Public/Private Edge of Arterial Streets," Sustainability, MDPI, vol. 13(20), pages 1-21, October.
    4. James Simpson & Kevin Thwaites & Megan Freeth, 2019. "Understanding Visual Engagement with Urban Street Edges along Non-Pedestrianised and Pedestrianised Streets Using Mobile Eye-Tracking," Sustainability, MDPI, vol. 11(15), pages 1-17, August.
    5. Wenqing Ding & Qinqin Wei & Jing Jin & Juanjuan Nie & Fanfan Zhang & Xiaotian Zhou & Youhua Ma, 2023. "Research on Public Space Micro-Renewal Strategy of Historical and Cultural Blocks in Sanhe Ancient Town under Perception Quantification," Sustainability, MDPI, vol. 15(3), pages 1-17, February.
    6. Tingting Su & Kaiping Wang & Shuangshuang Li & Xinyan Wang & Huan Li & Huanru Ding & Yanfei Chen & Chenhui Liu & Min Liu & Yunlu Zhang, 2022. "Analysis and Optimization of Landscape Preference Characteristics of Rural Public Space Based on Eye-Tracking Technology: The Case of Huangshandian Village, China," Sustainability, MDPI, vol. 15(1), pages 1-25, December.
    7. Ruoshi Zhang & Weiyue Duan & Zhikai Zheng, 2024. "Multimodal Quantitative Research on the Emotional Attachment Characteristics between People and the Built Environment Based on the Immersive VR Eye-Tracking Experiment," Land, MDPI, vol. 13(1), pages 1-27, January.

  5. Noland, Robert B. & Weiner, Marc D. & DiPetrillo, Stephanie & Kay, Andrew I., 2017. "Attitudes towards transit-oriented development: Resident experiences and professional perspectives," Journal of Transport Geography, Elsevier, vol. 60(C), pages 130-140.

    Cited by:

    1. Huang, Yu & Parker, Dawn & Minaker, Leia, 2021. "Identifying latent demand for transit-oriented development neighbourhoods: Evidence from a mid-sized urban area in Canada," Journal of Transport Geography, Elsevier, vol. 90(C).
    2. Ibraeva, Anna & Correia, Gonçalo Homem de Almeida & Silva, Cecília & Antunes, António Pais, 2020. "Transit-oriented development: A review of research achievements and challenges," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 110-130.
    3. Huafang Huang & Xiaomao Wu & Xianfu Cheng, 2020. "The Analysis of the Urban Sprawl Measurement System of the Yangtze River Economic Belt, Based on Deep Learning and Neural Network Algorithm," IJERPH, MDPI, vol. 17(12), pages 1-13, June.
    4. Li, Peilin & Zhao, Pengjun & Schwanen, Tim, 2020. "Effect of land use on shopping trips in station areas: Examining sensitivity to scale," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 969-985.
    5. Khalid Mohammed Almatar, 2022. "Transit-Oriented Development in Saudi Arabia: Riyadh as a Case Study," Sustainability, MDPI, vol. 14(23), pages 1-10, December.
    6. Puteri Paramita & Zuduo Zheng & Md Mazharul Haque & Simon Washington & Paul Hyland, 2018. "User satisfaction with train fares: A comparative analysis in five Australian cities," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-26, June.
    7. Apostolos Papagiannakis & Athena Yiannakou, 2022. "Do Citizens Understand the Benefits of Transit-Oriented Development? Exploring and Modeling Community Perceptions of a Metro Line under Construction in Thessaloniki, Greece," Sustainability, MDPI, vol. 14(12), pages 1-22, June.

  6. Noland, Robert B. & Smart, Michael J. & Guo, Ziye, 2016. "Bikeshare trip generation in New York City," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 164-181.

    Cited by:

    1. Mehzabin Tuli, Farzana & Mitra, Suman & Crews, Mariah B., 2021. "Factors influencing the usage of shared E-scooters in Chicago," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 164-185.
    2. Bakó, Barna & Berezvai, Zombor & Isztin, Péter & Vigh, Enikő Zita, 2020. "Does Uber affect bicycle-sharing usage? Evidence from a natural experiment in Budapest," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 290-302.
    3. Kumar Dey, Bibhas & Anowar, Sabreena & Eluru, Naveen, 2021. "A framework for estimating bikeshare origin destination flows using a multiple discrete continuous system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 119-133.
    4. Wang, Jueyu & Lindsey, Greg, 2019. "Do new bike share stations increase member use: A quasi-experimental study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 1-11.
    5. Ye, Jiao & Jiang, Yu & Chen, Jun & Liu, Zhiyuan & Guo, Renzhong, 2021. "Joint optimisation of transfer location and capacity for a capacitated multimodal transport network with elastic demand: a bi-level programming model and paradoxes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 156(C).
    6. Yuanyuan Zhang & Yuming Zhang, 2018. "Associations between Public Transit Usage and Bikesharing Behaviors in The United States," Sustainability, MDPI, vol. 10(6), pages 1-20, June.
    7. Wang, Xudong & Cheng, Zhanhong & Trépanier, Martin & Sun, Lijun, 2021. "Modeling bike-sharing demand using a regression model with spatially varying coefficients," Journal of Transport Geography, Elsevier, vol. 93(C).
    8. De Zhao & Ghim Ping Ong & Wei Wang & Wei Zhou, 2021. "Estimating Public Bicycle Trip Characteristics with Consideration of Built Environment Data," Sustainability, MDPI, vol. 13(2), pages 1-13, January.
    9. Yi Zhu, 2022. "Can bicycle sharing mitigate vehicle emission in Chinese large cities? Estimation based on mode shift analysis," Transportation, Springer, vol. 49(6), pages 1627-1648, December.
    10. Cai, Qing & Abdel-Aty, Mohamed & Sun, Yangyang & Lee, Jaeyoung & Yuan, Jinghui, 2019. "Applying a deep learning approach for transportation safety planning by using high-resolution transportation and land use data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 127(C), pages 71-85.
    11. Lidong Zhu & Mujahid Ali & Elżbieta Macioszek & Mahdi Aghaabbasi & Amin Jan, 2022. "Approaching Sustainable Bike-Sharing Development: A Systematic Review of the Influence of Built Environment Features on Bike-Sharing Ridership," Sustainability, MDPI, vol. 14(10), pages 1-17, May.
    12. Kim, Kyoungok, 2023. "Investigation of modal integration of bike-sharing and public transit in Seoul for the holders of 365-day passes," Journal of Transport Geography, Elsevier, vol. 106(C).
    13. Sangwan Lee, 2022. "An In-Depth Understanding of the Residential Property Value Premium of a Bikesharing Service in Portland, Oregon," Land, MDPI, vol. 11(9), pages 1-16, August.
    14. Hu, Songhua & Chen, Mingyang & Jiang, Yuan & Sun, Wei & Xiong, Chenfeng, 2022. "Examining factors associated with bike-and-ride (BnR) activities around metro stations in large-scale dockless bikesharing systems," Journal of Transport Geography, Elsevier, vol. 98(C).
    15. Georgia Aifadopoulou & Georgios Tsaples & Josep Maria Salanova Grau & Ioannis Mallidis & Nikolaos Sariannidis, 2022. "Management of resource allocation on vehicle-sharing schemes: the case of Thessaloniki’s bike-sharing system," Operational Research, Springer, vol. 22(2), pages 1001-1016, April.
    16. Li, Yue & Luo, Hao & Cai, Hua, 2023. "Photovoltaic-battery powered bike share stations are not necessarily energy self-sufficient," Applied Energy, Elsevier, vol. 348(C).
    17. Mix, Richard & Hurtubia, Ricardo & Raveau, Sebastián, 2022. "Optimal location of bike-sharing stations: A built environment and accessibility approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 126-142.
    18. Kim, Minjun & Cho, Gi-Hyoug, 2021. "Analysis on bike-share ridership for origin-destination pairs: Effects of public transit route characteristics and land-use patterns," Journal of Transport Geography, Elsevier, vol. 93(C).
    19. Campbell, Kayleigh B. & Brakewood, Candace, 2017. "Sharing riders: How bikesharing impacts bus ridership in New York City," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 264-282.
    20. Nigro, Marialisa & Castiglione, Marisdea & Maria Colasanti, Fabio & De Vincentis, Rosita & Valenti, Gaetano & Liberto, Carlo & Comi, Antonio, 2022. "Exploiting floating car data to derive the shifting potential to electric micromobility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 157(C), pages 78-93.
    21. Rodrigo Mora & Pablo Moran, 2020. "Public Bike Sharing Programs Under the Prism of Urban Planning Officials: The Case of Santiago de Chile," Sustainability, MDPI, vol. 12(14), pages 1-20, July.
    22. Younes, Hannah & Zou, Zhenpeng & Wu, Jiahui & Baiocchi, Giovanni, 2020. "Comparing the Temporal Determinants of Dockless Scooter-share and Station-based Bike-share in Washington, D.C," Transportation Research Part A: Policy and Practice, Elsevier, vol. 134(C), pages 308-320.
    23. Griffin, Greg Phillip & Jiao, Junfeng, 2018. "Crowdsourcing Bike Share Station Locations: Evaluating participation and placement," SocArXiv mtnza, Center for Open Science.
    24. Wang, Kailai & Chen, Yu-Jen, 2020. "Joint analysis of the impacts of built environment on bikeshare station capacity and trip attractions," Journal of Transport Geography, Elsevier, vol. 82(C).
    25. Pengfei Lin & Jiancheng Weng & Quan Liang & Dimitrios Alivanistos & Siyong Ma, 2020. "Impact of Weather Conditions and Built Environment on Public Bikesharing Trips in Beijing," Networks and Spatial Economics, Springer, vol. 20(1), pages 1-17, March.
    26. Xing, Yingying & Wang, Ke & Lu, Jian John, 2020. "Exploring travel patterns and trip purposes of dockless bike-sharing by analyzing massive bike-sharing data in Shanghai, China," Journal of Transport Geography, Elsevier, vol. 87(C).
    27. Guidon, Sergio & Reck, Daniel J. & Axhausen, Kay, 2020. "Expanding a(n) (electric) bicycle-sharing system to a new city: Prediction of demand with spatial regression and random forests," Journal of Transport Geography, Elsevier, vol. 84(C).
    28. Zhan, Zilin & Guo, Yuanyuan & Noland, Robert B. & He, Sylvia Y. & Wang, Yacan, 2023. "Analysis of links between dockless bikeshare and metro trips in Beijing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    29. Wang, Haoyun & Noland, Robert B., 2021. "Bikeshare and subway ridership changes during the COVID-19 pandemic in New York City," Transport Policy, Elsevier, vol. 106(C), pages 262-270.
    30. Caulfield, Brian & O'Mahony, Margaret & Brazil, William & Weldon, Peter, 2017. "Examining usage patterns of a bike-sharing scheme in a medium sized city," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 152-161.
    31. Zhao, De & Ong, Ghim Ping & Wang, Wei & Hu, Xiao Jian, 2019. "Effect of built environment on shared bicycle reallocation: A case study on Nanjing, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 128(C), pages 73-88.
    32. Sangwan Lee, 2022. "Exploring Associations between Multimodality and Built Environment Characteristics in the U.S," Sustainability, MDPI, vol. 14(11), pages 1-16, May.
    33. Yang, Hongtai & Huo, Jinghai & Bao, Yongxing & Li, Xuan & Yang, Linchuan & Cherry, Christopher R., 2021. "Impact of e-scooter sharing on bike sharing in Chicago," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 23-36.
    34. Xiaofeng Li & Yao-Jan Wu & Alireza Khani, 2022. "Investigating a small-sized bike-sharing system’s impact on transit usage: a synthetic control analysis in Tucson, Arizona," Public Transport, Springer, vol. 14(2), pages 441-458, June.
    35. de Kruijf, Joost & van der Waerden, Peter & Feng, Tao & Böcker, Lars & van Lierop, Dea & Ettema, Dick & Dijst, Martin, 2021. "Integrated weather effects on e-cycling in daily commuting: A longitudinal evaluation of weather effects on e-cycling in the Netherlands," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 305-315.
    36. Jain, Taru & Wang, Xinyi & Rose, Geoffrey & Johnson, Marilyn, 2018. "Does the role of a bicycle share system in a city change over time? A longitudinal analysis of casual users and long-term subscribers," Journal of Transport Geography, Elsevier, vol. 71(C), pages 45-57.
    37. Wang, Kailai & Akar, Gulsah, 2019. "Gender gap generators for bike share ridership: Evidence from Citi Bike system in New York City," Journal of Transport Geography, Elsevier, vol. 76(C), pages 1-9.
    38. Wang, Yacan & Li, Jingjing & Su, Duan & Zhou, Huiyu, 2023. "Spatial-temporal heterogeneity and built environment nonlinearity in inconsiderate parking of dockless bike-sharing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    39. Kutela, Boniphace & Teng, Hualiang, 2019. "The influence of campus characteristics, temporal factors, and weather events on campuses-related daily bike-share trips," Journal of Transport Geography, Elsevier, vol. 78(C), pages 160-169.
    40. Alimo, Philip Kofi & Agyeman, Stephen & Danesh, Ali & Yu, Chunhui & Ma, Wanjing, 2023. "Is public bike-sharing feasible in Ghana? Road users' perceptions and policy interventions," Journal of Transport Geography, Elsevier, vol. 106(C).
    41. Biehl, Alec & Ermagun, Alireza & Stathopoulos, Amanda, 2019. "Utilizing multi-stage behavior change theory to model the process of bike share adoption," Transport Policy, Elsevier, vol. 77(C), pages 30-45.
    42. Elżbieta Macioszek & Paulina Świerk & Agata Kurek, 2020. "The Bike-Sharing System as an Element of Enhancing Sustainable Mobility—A Case Study based on a City in Poland," Sustainability, MDPI, vol. 12(8), pages 1-29, April.
    43. Hu, Songhua & Xiong, Chenfeng & Liu, Zhanqin & Zhang, Lei, 2021. "Examining spatiotemporal changing patterns of bike-sharing usage during COVID-19 pandemic," Journal of Transport Geography, Elsevier, vol. 91(C).
    44. Younes, Hannah & Nasri, Arefeh & Baiocchi, Giovanni & Zhang, Lei, 2019. "How transit service closures influence bikesharing demand; lessons learned from SafeTrack project in Washington, D.C. metropolitan area," Journal of Transport Geography, Elsevier, vol. 76(C), pages 83-92.
    45. Anastasia Roukouni & Gonçalo Homem de Almeida Correia, 2020. "Evaluation Methods for the Impacts of Shared Mobility: Classification and Critical Review," Sustainability, MDPI, vol. 12(24), pages 1-22, December.
    46. Circella, Giovanni & Alemi, Farzad & Tiedeman, Kate & Handy, Susan & Mokhtarian, Patricia, 2018. "The Adoption of Shared Mobility in California and Its Relationship with Other Components of Travel Behavior," Institute of Transportation Studies, Working Paper Series qt1kq5d07p, Institute of Transportation Studies, UC Davis.
    47. Ding, Hongliang & Lu, Yuhuan & Sze, N.N. & Li, Haojie, 2022. "Effect of dockless bike-sharing scheme on the demand for London Cycle Hire at the disaggregate level using a deep learning approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 150-163.
    48. Renata Żochowska & Marianna Jacyna & Marcin Jacek Kłos & Piotr Soczówka, 2021. "A GIS-Based Method of the Assessment of Spatial Integration of Bike-Sharing Stations," Sustainability, MDPI, vol. 13(7), pages 1-29, April.
    49. Tyndall, Justin, 2022. "Complementarity of dockless mircomobility and rail transit," Journal of Transport Geography, Elsevier, vol. 103(C).
    50. Sweet, Matthias N. & Scott, Darren M., 2021. "Shared mobility adoption from 2016 to 2018 in the Greater Toronto and Hamilton Area: Demographic or geographic diffusion?," Journal of Transport Geography, Elsevier, vol. 96(C).
    51. Wang, Kailai & Akar, Gulsah & Chen, Yu-Jen, 2018. "Bike sharing differences among Millennials, Gen Xers, and Baby Boomers: Lessons learnt from New York City’s bike share," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 1-14.
    52. Bakó, Barna & Isztin, Péter & Berezvai, Zombor & Cseke, Petra Zsuzsanna, 2019. "Infrastruktúra-bővítés világversenyek idején. A Mol Bubi esete a FINA világbajnoksággal [Infrastructural investments for international sports events. Network expansion of the MOL Bubi bicycle-shari," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(1), pages 4-21.
    53. Tomasz Bieliński & Agnieszka Kwapisz & Agnieszka Ważna, 2019. "Bike-Sharing Systems in Poland," Sustainability, MDPI, vol. 11(9), pages 1-14, April.
    54. Anaya-Boig, Esther & Cebollada, Àngel & Castelló Bueno, Marc, 2022. "Measuring spatial inequalities in the access to station-based bike-sharing in Barcelona using an Adapted Affordability Index," Journal of Transport Geography, Elsevier, vol. 98(C).
    55. Morton, Craig & Kelley, Scott & Monsuur, Fredrik & Hui, Tianwen, 2021. "A spatial analysis of demand patterns on a bicycle sharing scheme: Evidence from London," Journal of Transport Geography, Elsevier, vol. 94(C).
    56. Böcker, Lars & Anderson, Ellinor, 2020. "Interest-adoption discrepancies, mechanisms of mediation and socio-spatial inclusiveness in bike-sharing: The case of nine urban regions in Norway," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 266-277.
    57. Hu, Beibei & Zhong, Zhenfang & Zhang, Yanli & Sun, Yue & Jiang, Li & Dong, Xianlei & Sun, Huijun, 2022. "Understanding the influencing factors of bicycle-sharing demand based on residents’ trips," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 586(C).
    58. Kuo, Pei-Fen & Shen, Chung-Wei & Chiu, Chui-Sheng, 2021. "The impact of large-scale events: A difference-in-difference model for a Pokémon go safari zone event in Tainan and its effect on bikeshare systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 149(C), pages 283-299.

  7. Kay, Andrew I. & Noland, Robert B. & Rodier, Caroline J., 2014. "Achieving reductions in greenhouse gases in the US road transportation sector," Energy Policy, Elsevier, vol. 69(C), pages 536-545.

    Cited by:

    1. Neves, Sónia Almeida & Marques, António Cardoso, 2021. "The substitution of fossil fuels in the US transportation energy mix: Are emissions decoupling from economic growth?," Research in Transportation Economics, Elsevier, vol. 90(C).
    2. Scott Le Vine & Charilaos Latinopoulos & John Polak, 2014. "What is the relationship between online activity and driving-licence-holding amongst young adults?," Transportation, Springer, vol. 41(5), pages 1071-1098, September.
    3. Oh, Yunjung & Park, Junhong & Lee, Jong Tae & Seo, Jigu & Park, Sungwook, 2016. "Development strategies to satisfy corporate average CO2 emission regulations of light duty vehicles (LDVs) in Korea," Energy Policy, Elsevier, vol. 98(C), pages 121-132.
    4. Rith, Monorom & Fillone, Alexis M. & Biona, Jose Bienvenido Manuel M., 2020. "Energy and environmental benefits and policy implications for private passenger vehicles in an emerging metropolis of Southeast Asia – A case study of Metro Manila," Applied Energy, Elsevier, vol. 275(C).
    5. Schmitz Gonçalves, Daniel Neves & Goes, George Vasconcelos & de Almeida D'Agosto, Márcio & Albergaria de Mello Bandeira, Renata, 2019. "Energy use and emissions scenarios for transport to gauge progress toward national commitments," Energy Policy, Elsevier, vol. 135(C).
    6. Axsen, Jonn & Wolinetz, Michael, 2021. "Taxes, tolls and ZEV zones for climate: Synthesizing insights on effectiveness, efficiency, equity, acceptability and implementation," Energy Policy, Elsevier, vol. 156(C).
    7. Yang, Christopher & Yeh, Sonia & Zakerinia, Saleh & Ramea, Kalai & McCollum, David, 2015. "Achieving California's 80% greenhouse gas reduction target in 2050: Technology, policy and scenario analysis using CA-TIMES energy economic systems model," Energy Policy, Elsevier, vol. 77(C), pages 118-130.
    8. Munjed A. Maraqa & Francisco D. B. Albuquerque & Mohammed H. Alzard & Rezaul Chowdhury & Lina A. Kamareddine & Jamal El Zarif, 2021. "GHG Emission Reduction Opportunities for Road Projects in the Emirate of Abu Dhabi: A Scenario Approach," Sustainability, MDPI, vol. 13(13), pages 1-22, July.
    9. Luis Rivera-González & David Bolonio & Luis F. Mazadiego & Sebastián Naranjo-Silva & Kenny Escobar-Segovia, 2020. "Long-Term Forecast of Energy and Fuels Demand Towards a Sustainable Road Transport Sector in Ecuador (2016–2035): A LEAP Model Application," Sustainability, MDPI, vol. 12(2), pages 1-26, January.
    10. Ying Sun & Long Qian & Zhi Liu, 2022. "The carbon emissions level of China’s service industry: an analysis of characteristics and influencing factors," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(12), pages 13557-13582, December.
    11. Feng Ma & Aimin Sha & Ruiyu Lin & Yue Huang & Chao Wang, 2016. "Greenhouse Gas Emissions from Asphalt Pavement Construction: A Case Study in China," IJERPH, MDPI, vol. 13(3), pages 1-15, March.
    12. Alshammari, Yousef M. & Sarathy, S. Mani, 2017. "Achieving 80% greenhouse gas reduction target in Saudi Arabia under low and medium oil prices," Energy Policy, Elsevier, vol. 101(C), pages 502-511.

  8. Nolan, Robert & Park, Hyunsoo & Hagen, Leigh Ann Von & Chatman, Daniel, 2014. "A mode choice analysis of school trips in New Jersey," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(2), pages 111-133.

    Cited by:

    1. Greg Rybarczyk & Ayse Ozbil & Demet Yesiltepe & Gorsev Argin, 2023. "Walking alone or walking together: A spatial evaluation of children’s travel behavior to school," Environment and Planning B, , vol. 50(9), pages 2560-2578, November.
    2. Carlo Giacomo Prato & Katrín Halldórsdóttir & Otto Anker Nielsen, 2017. "Latent lifestyle and mode choice decisions when travelling short distances," Transportation, Springer, vol. 44(6), pages 1343-1363, November.
    3. Dias, Charitha & Abdullah, Muhammad & Lovreglio, Ruggiero & Sachchithanantham, Sumana & Rekatheeban, Markkandu & Sathyaprasad, I.M.S., 2022. "Exploring home-to-school trip mode choices in Kandy, Sri Lanka," Journal of Transport Geography, Elsevier, vol. 99(C).
    4. Hyunsoo Kim, 2020. "Wearable Sensor Data-Driven Walkability Assessment for Elderly People," Sustainability, MDPI, vol. 12(10), pages 1-13, May.
    5. Singh, Nishant & Vasudevan, Vinod, 2018. "Understanding school trip mode choice – The case of Kanpur (India)," Journal of Transport Geography, Elsevier, vol. 66(C), pages 283-290.

  9. Kay, Andrew I. & Noland, Robert B. & DiPetrillo, Stephanie, 2014. "Residential property valuations near transit stations with transit-oriented development," Journal of Transport Geography, Elsevier, vol. 39(C), pages 131-140.

    Cited by:

    1. Yu, Haitao & Jiao, Junfeng & Houston, Eric & Peng, Zhong-Ren, 2018. "Evaluating the relationship between rail transit and industrial agglomeration: An observation from the Dallas-fort worth region, TX," Journal of Transport Geography, Elsevier, vol. 67(C), pages 33-52.
    2. Chakrabarti, Sandip & Kushari, Triparnee & Mazumder, Taraknath, 2022. "Does transportation network centrality determine housing price?," Journal of Transport Geography, Elsevier, vol. 103(C).
    3. Saad AlQuhtani & Ardeshir Anjomani, 2021. "Do Rail Transit Stations Affect the Population Density Changes around Them? The Case of Dallas-Fort Worth Metropolitan Area," Sustainability, MDPI, vol. 13(6), pages 1-21, March.
    4. Ibraeva, Anna & Correia, Gonçalo Homem de Almeida & Silva, Cecília & Antunes, António Pais, 2020. "Transit-oriented development: A review of research achievements and challenges," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 110-130.
    5. Sangwan Lee, 2022. "An In-Depth Understanding of the Residential Property Value Premium of a Bikesharing Service in Portland, Oregon," Land, MDPI, vol. 11(9), pages 1-16, August.
    6. AlQuhtani, Saad & Anjomani, Ardeshir, 2019. "Do rail transit stations affect housing value changes? The Dallas Fort-Worth metropolitan area case and implications," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    7. Peng, Ya-Ting & Li, Zhi-Chun & Choi, Keechoo, 2017. "Transit-oriented development in an urban rail transportation corridor," Transportation Research Part B: Methodological, Elsevier, vol. 103(C), pages 269-290.
    8. Welch, Timothy F. & Gehrke, Steven R. & Wang, Fangru, 2016. "Long-term impact of network access to bike facilities and public transit stations on housing sales prices in Portland, Oregon," Journal of Transport Geography, Elsevier, vol. 54(C), pages 264-272.
    9. Qing Shen & Simin Xu & Jiang Lin, 2018. "Effects of bus transit-oriented development (BTOD) on single-family property value in Seattle metropolitan area," Urban Studies, Urban Studies Journal Limited, vol. 55(13), pages 2960-2979, October.
    10. Koen van Ruijven & Paul Verstraten & Peter Zwaneveld, 2019. "Transit-oriented developments and residential property values," CPB Discussion Paper 399, CPB Netherlands Bureau for Economic Policy Analysis.
    11. Wanle Wang & Ming Zhong & John Douglas Hunt, 2019. "Analysis of the Wider Economic Impact of a Transport Infrastructure Project Using an Integrated Land Use Transport Model," Sustainability, MDPI, vol. 11(2), pages 1-17, January.
    12. Aliyu Ahmad Aliyu & Olurotimi Adebowale Kemiki & Muhammad Umar Bello, 2018. "Analysis of Current Empirical Studies on Transport Value-Added Effect and Proximate Housing Price Capture," Traektoriâ Nauki = Path of Science, Altezoro, s.r.o. & Dialog, vol. 4(12), pages 1001-1020, December.
    13. Kamruzzaman, Md. & Deilami, Kaveh & Yigitcanlar, Tan, 2018. "Investigating the urban heat island effect of transit oriented development in Brisbane," Journal of Transport Geography, Elsevier, vol. 66(C), pages 116-124.
    14. Qianyao Li & Junwu Wang & Judith Callanan & Binbin Lu & Zeng Guo, 2021. "The spatial varying relationship between services of the train network and residential property values in Melbourne, Australia," Urban Studies, Urban Studies Journal Limited, vol. 58(2), pages 335-354, February.
    15. Noland, Robert B. & Weiner, Marc D. & DiPetrillo, Stephanie & Kay, Andrew I., 2017. "Attitudes towards transit-oriented development: Resident experiences and professional perspectives," Journal of Transport Geography, Elsevier, vol. 60(C), pages 130-140.
    16. Vanessa Stjernborg & Ola Mattisson, 2016. "The Role of Public Transport in Society—A Case Study of General Policy Documents in Sweden," Sustainability, MDPI, vol. 8(11), pages 1-16, November.
    17. Maria Vittoria Corazza & Sandro Imbastaro & Marco Pascucci, 2020. "Regenerating Communities. New Life for a Local Railway: A Technological and Environmental Study," Sustainability, MDPI, vol. 12(9), pages 1-24, May.

  10. Michael R. Greenberg & Marc D. Weiner & Robert Noland & Jeanne Herb & Marjorie Kaplan & Anthony J. Broccoli, 2014. "Public Support for Policies to Reduce Risk After Hurricane Sandy," Risk Analysis, John Wiley & Sons, vol. 34(6), pages 997-1012, June.

    Cited by:

    1. Michael Greenberg & Anthony Cox & Vicki Bier & Jim Lambert & Karen Lowrie & Warner North & Michael Siegrist & Felicia Wu, 2020. "Risk Analysis: Celebrating the Accomplishments and Embracing Ongoing Challenges," Risk Analysis, John Wiley & Sons, vol. 40(S1), pages 2113-2127, November.
    2. Kramer, H. Anu & Butsic, Van & Mockrin, Miranda H. & Ramirez-Reyes, Carlos & Alexandre, Patricia M. & Radeloff, Volker C., 2021. "Post-wildfire rebuilding and new development in California indicates minimal adaptation to fire risk," Land Use Policy, Elsevier, vol. 107(C).
    3. Diaz, Rafael & Behr, Joshua G. & Acero, Beatriz, 2022. "Coastal housing recovery in a postdisaster environment: A supply chain perspective," International Journal of Production Economics, Elsevier, vol. 247(C).
    4. Joseph T. Ripberger & Hank C. Jenkins‐Smith & Carol L. Silva & Jeffrey Czajkowski & Howard Kunreuther & Kevin M. Simmons, 2018. "Tornado Damage Mitigation: Homeowner Support for Enhanced Building Codes in Oklahoma," Risk Analysis, John Wiley & Sons, vol. 38(11), pages 2300-2317, November.

  11. Kyle Gebhart & Robert Noland, 2014. "The impact of weather conditions on bikeshare trips in Washington, DC," Transportation, Springer, vol. 41(6), pages 1205-1225, November.

    Cited by:

    1. Mehzabin Tuli, Farzana & Mitra, Suman & Crews, Mariah B., 2021. "Factors influencing the usage of shared E-scooters in Chicago," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 164-185.
    2. Bakó, Barna & Berezvai, Zombor & Isztin, Péter & Vigh, Enikő Zita, 2020. "Does Uber affect bicycle-sharing usage? Evidence from a natural experiment in Budapest," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 290-302.
    3. Shahram Heydari & Garyfallos Konstantinoudis & Abdul Wahid Behsoodi, 2021. "Effect of the COVID-19 pandemic on bike-sharing demand and hire time: Evidence from Santander Cycles in London," Papers 2107.11589, arXiv.org.
    4. Kumar Dey, Bibhas & Anowar, Sabreena & Eluru, Naveen, 2021. "A framework for estimating bikeshare origin destination flows using a multiple discrete continuous system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 119-133.
    5. Wang, Jueyu & Lindsey, Greg, 2019. "Do new bike share stations increase member use: A quasi-experimental study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 1-11.
    6. Jin, Lawrence & Ziebarth, Nicolas R., 2015. "Does Daylight Saving Time Really Make Us Sick?," IZA Discussion Papers 9088, Institute of Labor Economics (IZA).
    7. Cyrille MEDARD DE CHARDON & Geoffrey CARUSO & Isabelle THOMAS, 2017. "Bicycle sharing system 'success' determinants," LIDAM Reprints CORE 2841, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    8. Kathrin Goldmann & Jan Wessel, 2020. "Some People Feel the Rain, Others Just Get Wet: An Analysis of Regional Differences in the Effects of Weather on Cycling," Working Papers 33, Institute of Transport Economics, University of Muenster.
    9. Faghih-Imani, Ahmadreza & Eluru, Naveen, 2016. "Examining the Impact of Sample Size in the Analysis of Bicycle Sharing Systems," 57th Transportation Research Forum (51st CTRF) Joint Conference, Toronto, Ontario, May 1-4, 2016 319259, Transportation Research Forum.
    10. Wei Ji & Chengpeng Lu & Jinhuang Mao & Yiping Liu & Muchen Hou & Xiaoli Pan, 2021. "Public’s Intention and Influencing Factors of Dockless Bike-Sharing in Central Urban Areas: A Case Study of Lanzhou City, China," Sustainability, MDPI, vol. 13(16), pages 1-14, August.
    11. De Zhao & Ghim Ping Ong & Wei Wang & Wei Zhou, 2021. "Estimating Public Bicycle Trip Characteristics with Consideration of Built Environment Data," Sustainability, MDPI, vol. 13(2), pages 1-13, January.
    12. Noland, Robert B., 2021. "Scootin’ in the rain: Does weather affect micromobility?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 149(C), pages 114-123.
    13. Ahmadreza Faghih-Imani & Naveen Eluru, 2020. "A finite mixture modeling approach to examine New York City bicycle sharing system (CitiBike) users’ destination preferences," Transportation, Springer, vol. 47(2), pages 529-553, April.
    14. Liangpeng Gao & Yanjie Ji & Xingchen Yan & Yao Fan & Weihong Guo, 2021. "Incentive measures to avoid the illegal parking of dockless shared bikes: the relationships among incentive forms, intensity and policy compliance," Transportation, Springer, vol. 48(2), pages 1033-1060, April.
    15. Andreas Piter & Philipp Otto & Hamza Alkhatib, 2022. "The Helsinki bike‐sharing system—Insights gained from a spatiotemporal functional model," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(3), pages 1294-1318, July.
    16. Jan Wessel, 2020. "Using weather forecasts to forecast whether bikes are used," Working Papers 32, Institute of Transport Economics, University of Muenster.
    17. Choi, Seung Jun & Jiao, Junfeng & Lee, Hye Kyung & Farahi, Arya, 2023. "Combatting the mismatch: Modeling bike-sharing rental and return machine learning classification forecast in Seoul, South Korea," Journal of Transport Geography, Elsevier, vol. 109(C).
    18. Zhao, Jinbao & Wang, Jian & Xing, Zhaomin & Luan, Xin & Jiang, Yang, 2018. "Weather and cycling: Mining big data to have an in-depth understanding of the association of weather variability with cycling on an off-road trail and an on-road bike lane," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 119-135.
    19. Sangwan Lee, 2022. "An In-Depth Understanding of the Residential Property Value Premium of a Bikesharing Service in Portland, Oregon," Land, MDPI, vol. 11(9), pages 1-16, August.
    20. Hyungkyoo Kim & Elizabeth Macdonald, 2016. "Does Wind Discourage Sustainable Transportation Mode Choice? Findings from San Francisco, California, USA," Sustainability, MDPI, vol. 8(3), pages 1-15, March.
    21. Mariano J. Rabassa & Mariana Conte Grand & Christian M. García-Witulski, 2021. "Heat warnings and avoidance behavior: evidence from a bike-sharing system," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 23(1), pages 1-28, January.
    22. Hyungkyoo Kim, 2020. "Seasonal Impacts of Particulate Matter Levels on Bike Sharing in Seoul, South Korea," IJERPH, MDPI, vol. 17(11), pages 1-17, June.
    23. Tomasz Bieliński & Agnieszka Ważna, 2020. "Electric Scooter Sharing and Bike Sharing User Behaviour and Characteristics," Sustainability, MDPI, vol. 12(22), pages 1-13, November.
    24. Jin, Lawrence & Ziebarth, Nicolas R., 2020. "Sleep, health, and human capital: Evidence from daylight saving time," Journal of Economic Behavior & Organization, Elsevier, vol. 170(C), pages 174-192.
    25. Wang Zhanyou & Han Dongmei & Zhao Yaopei, 2020. "How to improve users’ intentions to continued usage of shared bicycles: A mixed method approach," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-16, February.
    26. Xiaofang Yang & Hai Jiang, 2020. "Influence of Electronic-Docking Stations on China’s Dockless Bikesharing Programs: Evidence from Beijing," Sustainability, MDPI, vol. 12(9), pages 1-20, April.
    27. Mix, Richard & Hurtubia, Ricardo & Raveau, Sebastián, 2022. "Optimal location of bike-sharing stations: A built environment and accessibility approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 126-142.
    28. Jin, L. & Ziebarth, N.R., 2015. "Sleep and Human Capital: Evidence from Daylight Saving Time," Health, Econometrics and Data Group (HEDG) Working Papers 15/27, HEDG, c/o Department of Economics, University of York.
    29. Shruthi Kaviti & Mohan M. Venigalla & Shanjiang Zhu & Kimberly Lucas & Stefanie Brodie, 2020. "Impact of pricing and transit disruptions on bikeshare ridership and revenue," Transportation, Springer, vol. 47(2), pages 641-662, April.
    30. Faghih-Imani, Ahmadreza & Eluru, Naveen, 2016. "Determining the role of bicycle sharing system infrastructure installation decision on usage: Case study of montreal BIXI system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 685-698.
    31. Younes, Hannah & Zou, Zhenpeng & Wu, Jiahui & Baiocchi, Giovanni, 2020. "Comparing the Temporal Determinants of Dockless Scooter-share and Station-based Bike-share in Washington, D.C," Transportation Research Part A: Policy and Practice, Elsevier, vol. 134(C), pages 308-320.
    32. Wu, Jingwen & Liao, Hua, 2020. "Weather, travel mode choice, and impacts on subway ridership in Beijing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 264-279.
    33. Wang, Kailai & Chen, Yu-Jen, 2020. "Joint analysis of the impacts of built environment on bikeshare station capacity and trip attractions," Journal of Transport Geography, Elsevier, vol. 82(C).
    34. Timothy Otim & Leandro Dörfer & Dina Bousdar Ahmed & Estefania Munoz Diaz, 2022. "Modeling the Impact of Weather and Context Data on Transport Mode Choices: A Case Study of GPS Trajectories from Beijing," Sustainability, MDPI, vol. 14(10), pages 1-18, May.
    35. Pengfei Lin & Jiancheng Weng & Quan Liang & Dimitrios Alivanistos & Siyong Ma, 2020. "Impact of Weather Conditions and Built Environment on Public Bikesharing Trips in Beijing," Networks and Spatial Economics, Springer, vol. 20(1), pages 1-17, March.
    36. Zhang, Ying & Thomas, Tom & Brussel, Mark & van Maarseveen, Martin, 2017. "Exploring the impact of built environment factors on the use of public bikes at bike stations: Case study in Zhongshan, China," Journal of Transport Geography, Elsevier, vol. 58(C), pages 59-70.
    37. Xing, Yingying & Wang, Ke & Lu, Jian John, 2020. "Exploring travel patterns and trip purposes of dockless bike-sharing by analyzing massive bike-sharing data in Shanghai, China," Journal of Transport Geography, Elsevier, vol. 87(C).
    38. Jie Bao & Chengcheng Xu & Pan Liu & Wei Wang, 2017. "Exploring Bikesharing Travel Patterns and Trip Purposes Using Smart Card Data and Online Point of Interests," Networks and Spatial Economics, Springer, vol. 17(4), pages 1231-1253, December.
    39. Zhou, Xiaolu & Wang, Mingshu & Li, Dongying, 2019. "Bike-sharing or taxi? Modeling the choices of travel mode in Chicago using machine learning," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    40. Wang, Haoyun & Noland, Robert B., 2021. "Bikeshare and subway ridership changes during the COVID-19 pandemic in New York City," Transport Policy, Elsevier, vol. 106(C), pages 262-270.
    41. Faghih-Imani, Ahmadreza & Anowar, Sabreena & Miller, Eric J. & Eluru, Naveen, 2017. "Hail a cab or ride a bike? A travel time comparison of taxi and bicycle-sharing systems in New York City," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 11-21.
    42. Caulfield, Brian & O'Mahony, Margaret & Brazil, William & Weldon, Peter, 2017. "Examining usage patterns of a bike-sharing scheme in a medium sized city," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 152-161.
    43. Jongwoo Jung & Doyoung Jung, 2023. "Analysis of Factors Affecting the Extra Journey Time of Public Bicycles," Sustainability, MDPI, vol. 15(18), pages 1-15, September.
    44. Zhao, De & Ong, Ghim Ping & Wang, Wei & Hu, Xiao Jian, 2019. "Effect of built environment on shared bicycle reallocation: A case study on Nanjing, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 128(C), pages 73-88.
    45. Li, Haojie & Ding, Hongliang & Ren, Gang & Xu, Chengcheng, 2018. "Effects of the London Cycle Superhighways on the usage of the London Cycle Hire," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 304-315.
    46. Xiaofeng Li & Yao-Jan Wu & Alireza Khani, 2022. "Investigating a small-sized bike-sharing system’s impact on transit usage: a synthetic control analysis in Tucson, Arizona," Public Transport, Springer, vol. 14(2), pages 441-458, June.
    47. Jain, Taru & Wang, Xinyi & Rose, Geoffrey & Johnson, Marilyn, 2018. "Does the role of a bicycle share system in a city change over time? A longitudinal analysis of casual users and long-term subscribers," Journal of Transport Geography, Elsevier, vol. 71(C), pages 45-57.
    48. Faghih-Imani, Ahmadreza & Hampshire, Robert & Marla, Lavanya & Eluru, Naveen, 2017. "An empirical analysis of bike sharing usage and rebalancing: Evidence from Barcelona and Seville," Transportation Research Part A: Policy and Practice, Elsevier, vol. 97(C), pages 177-191.
    49. Wang, Jueyu & Lindsey, Greg, 2019. "Neighborhood socio-demographic characteristics and bike share member patterns of use," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    50. Wang, Kailai & Akar, Gulsah, 2019. "Gender gap generators for bike share ridership: Evidence from Citi Bike system in New York City," Journal of Transport Geography, Elsevier, vol. 76(C), pages 1-9.
    51. Alexandra Cortez-Ordoñez & Ana Belén Tulcanaza-Prieto, 2023. "The Effect of Gender and Age in Small Bicycle Sharing Systems: Case Study from Logroño, Spain," Sustainability, MDPI, vol. 15(10), pages 1-17, May.
    52. Shahram Heydari & Garyfallos Konstantinoudis & Abdul Wahid Behsoodi, 2021. "Effect of the COVID-19 pandemic on bike-sharing demand and hire time: Evidence from Santander Cycles in London," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-16, December.
    53. Zhang, Xiang & Li, Wence, 2023. "Effects of a bike sharing system and COVID-19 on low-carbon traffic modal shift and emission reduction," Transport Policy, Elsevier, vol. 132(C), pages 42-64.
    54. Saberi, Meead & Ghamami, Mehrnaz & Gu, Yi & Shojaei, Mohammad Hossein (Sam) & Fishman, Elliot, 2018. "Understanding the impacts of a public transit disruption on bicycle sharing mobility patterns: A case of Tube strike in London," Journal of Transport Geography, Elsevier, vol. 66(C), pages 154-166.
    55. Kutela, Boniphace & Teng, Hualiang, 2019. "The influence of campus characteristics, temporal factors, and weather events on campuses-related daily bike-share trips," Journal of Transport Geography, Elsevier, vol. 78(C), pages 160-169.
    56. Alimo, Philip Kofi & Agyeman, Stephen & Danesh, Ali & Yu, Chunhui & Ma, Wanjing, 2023. "Is public bike-sharing feasible in Ghana? Road users' perceptions and policy interventions," Journal of Transport Geography, Elsevier, vol. 106(C).
    57. Xie, Xiao-Feng & Wang, Zunjing Jenipher, 2018. "Examining travel patterns and characteristics in a bikesharing network and implications for data-driven decision supports: Case study in the Washington DC area," Journal of Transport Geography, Elsevier, vol. 71(C), pages 84-102.
    58. Sebastian Rühmann & Stephan Leible & Tom Lewandowski, 2024. "Interpretable Bike-Sharing Activity Prediction with a Temporal Fusion Transformer to Unveil Influential Factors: A Case Study in Hamburg, Germany," Sustainability, MDPI, vol. 16(8), pages 1-32, April.
    59. Noland, Robert B. & Smart, Michael J. & Guo, Ziye, 2016. "Bikeshare trip generation in New York City," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 164-181.
    60. Kapitza, Jonas, 2022. "How people get to work at night. A discrete choice model approach towards the influence of nighttime on the choice of transport mode for commuting to work," Journal of Transport Geography, Elsevier, vol. 104(C).
    61. Wu, Chunliang & Kim, Inhi, 2020. "Analyzing the structural properties of bike-sharing networks: Evidence from the United States, Canada, and China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 52-71.
    62. Smith, C. Scott & Schwieterman, Joseph P., 2021. "Using multivariate adaptive regression splining (MARS) to identify factors affecting the performance of dock-based bikesharing: The case of Chicago’s Divvy system," Research in Transportation Economics, Elsevier, vol. 89(C).
    63. Médard de Chardon, Cyrille & Caruso, Geoffrey, 2015. "Estimating bike-share trips using station level data," Transportation Research Part B: Methodological, Elsevier, vol. 78(C), pages 260-279.
    64. Anton Galich & Simon Nieland & Barbara Lenz & Jan Blechschmidt, 2021. "How Would We Cycle Today If We Had the Weather of Tomorrow? An Analysis of the Impact of Climate Change on Bicycle Traffic," Sustainability, MDPI, vol. 13(18), pages 1-22, September.
    65. Younes, Hannah & Nasri, Arefeh & Baiocchi, Giovanni & Zhang, Lei, 2019. "How transit service closures influence bikesharing demand; lessons learned from SafeTrack project in Washington, D.C. metropolitan area," Journal of Transport Geography, Elsevier, vol. 76(C), pages 83-92.
    66. Schimohr, Katja & Scheiner, Joachim, 2021. "Spatial and temporal analysis of bike-sharing use in Cologne taking into account a public transit disruption," Journal of Transport Geography, Elsevier, vol. 92(C).
    67. Ding, Hongliang & Lu, Yuhuan & Sze, N.N. & Li, Haojie, 2022. "Effect of dockless bike-sharing scheme on the demand for London Cycle Hire at the disaggregate level using a deep learning approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 150-163.
    68. Hong, Jinhyun, 2016. "How does the seasonality influence utilitarian walking behaviour in different urbanization settings in Scotland?," Social Science & Medicine, Elsevier, vol. 162(C), pages 143-150.
    69. Suzanne Maas & Paraskevas Nikolaou & Maria Attard & Loukas Dimitriou, 2021. "Heat, Hills and the High Season: A Model-Based Comparative Analysis of Spatio-Temporal Factors Affecting Shared Bicycle Use in Three Southern European Islands," Sustainability, MDPI, vol. 13(6), pages 1-21, March.
    70. Renata Żochowska & Marianna Jacyna & Marcin Jacek Kłos & Piotr Soczówka, 2021. "A GIS-Based Method of the Assessment of Spatial Integration of Bike-Sharing Stations," Sustainability, MDPI, vol. 13(7), pages 1-29, April.
    71. Chengxi Liu & Yusak O. Susilo & Anders Karlström, 2017. "Weather variability and travel behaviour – what we know and what we do not know," Transport Reviews, Taylor & Francis Journals, vol. 37(6), pages 715-741, November.
    72. Faghih-Imani, Ahmadreza & Eluru, Naveen, 2016. "Incorporating the impact of spatio-temporal interactions on bicycle sharing system demand: A case study of New York CitiBike system," Journal of Transport Geography, Elsevier, vol. 54(C), pages 218-227.
    73. Wang, Kailai & Akar, Gulsah & Chen, Yu-Jen, 2018. "Bike sharing differences among Millennials, Gen Xers, and Baby Boomers: Lessons learnt from New York City’s bike share," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 1-14.
    74. Bakó, Barna & Isztin, Péter & Berezvai, Zombor & Cseke, Petra Zsuzsanna, 2019. "Infrastruktúra-bővítés világversenyek idején. A Mol Bubi esete a FINA világbajnoksággal [Infrastructural investments for international sports events. Network expansion of the MOL Bubi bicycle-shari," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(1), pages 4-21.
    75. Zhan Gao & Sheng Wei & Lei Wang & Sijia Fan, 2020. "Exploring the Spatial-Temporal Characteristics of Traditional Public Bicycle Use in Yancheng, China: A Perspective of Time Series Cluster of Stations," Sustainability, MDPI, vol. 12(16), pages 1-17, August.
    76. Tomasz Bieliński & Agnieszka Kwapisz & Agnieszka Ważna, 2019. "Bike-Sharing Systems in Poland," Sustainability, MDPI, vol. 11(9), pages 1-14, April.
    77. Sato, Hitomi & Miwa, Tomio & Morikawa, Takayuki, 2015. "A study on use and location of community cycle stations," Research in Transportation Economics, Elsevier, vol. 53(C), pages 13-19.
    78. Li, Haojie & Zhang, Yingheng & Ding, Hongliang & Ren, Gang, 2019. "Effects of dockless bike-sharing systems on the usage of the London Cycle Hire," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 398-411.
    79. Hudde, Ansgar, 2023. "It's the mobility culture, stupid! Winter conditions strongly reduce bicycle usage in German cities, but not in Dutch ones," Journal of Transport Geography, Elsevier, vol. 106(C).
    80. Li, Shaoying & Zhuang, Caigang & Tan, Zhangzhi & Gao, Feng & Lai, Zhipeng & Wu, Zhifeng, 2021. "Inferring the trip purposes and uncovering spatio-temporal activity patterns from dockless shared bike dataset in Shenzhen, China," Journal of Transport Geography, Elsevier, vol. 91(C).
    81. Hu, Beibei & Zhong, Zhenfang & Zhang, Yanli & Sun, Yue & Jiang, Li & Dong, Xianlei & Sun, Huijun, 2022. "Understanding the influencing factors of bicycle-sharing demand based on residents’ trips," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 586(C).

  12. Daniel G. Chatman & Robert B. Noland, 2014. "Transit Service, Physical Agglomeration and Productivity in US Metropolitan Areas," Urban Studies, Urban Studies Journal Limited, vol. 51(5), pages 917-937, April.

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    1. Hamidi, Shima & Zandiatashbar, Ahoura & Bonakdar, Ahmad, 2019. "The relationship between regional compactness and regional innovation capacity (RIC): Empirical evidence from a national study," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 394-402.
    2. Pierre-Henri Bono & Quentin David & Rodolphe Desbordes & Loriane Py, 2022. "Metro infrastructure and metropolitan attractiveness," SciencePo Working papers Main hal-03969395, HAL.
    3. Patricia C Melo & Daniel J Graham & David Levinson & Sarah Aarabi, 2017. "Agglomeration, accessibility and productivity: Evidence for large metropolitan areas in the US," Urban Studies, Urban Studies Journal Limited, vol. 54(1), pages 179-195, January.
    4. Oh, Seunghoon & Hofe, Rainer vom, 2023. "Transit-induced Agglomeration and Employment Opportunity: A Spatial Econometric Analysis of Skill- and Industry-specific Job Clusters in Philadelphia, PA," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 53(1), May.
    5. Davidson, Joshua H. & Ryerson, Megan S., 2021. "Modeling regional disparity and the reverse commute," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 124-139.
    6. Ammar Malik & Andrew Crooks & Hilton Root & Melanie Swartz, 2015. "Exploring Creativity and Urban Development with Agent-Based Modeling," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 18(2), pages 1-12.
    7. Yu, Haitao & Jiao, Junfeng & Houston, Eric & Peng, Zhong-Ren, 2018. "Evaluating the relationship between rail transit and industrial agglomeration: An observation from the Dallas-fort worth region, TX," Journal of Transport Geography, Elsevier, vol. 67(C), pages 33-52.
    8. Stuart Donovan & Thomas de Graaff & Henri de Groot & Carl Koopmans, 2021. "Unravelling urban advantages - A meta-analysis of agglomeration economies," Tinbergen Institute Discussion Papers 21-026/VIII, Tinbergen Institute.
    9. Patricia C. Melo & Daniel J. Graham, 2017. "Transport-Induced Agglomeration Effects: Evidence for US Metropolitan Areas," Working Papers REM 2017/06, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    10. Juan C Duque & Nancy Lozano-Gracia & Jorge E Patino & Paula Restrepo, 2022. "Urban form and productivity: What shapes are Latin-American cities?," Environment and Planning B, , vol. 49(1), pages 131-150, January.
    11. Diao, Mi & Leonard, Delon & Sing, Tien Foo, 2017. "Spatial-difference-in-differences models for impact of new mass rapid transit line on private housing values," Regional Science and Urban Economics, Elsevier, vol. 67(C), pages 64-77.
    12. Hazledine, Tim & Donovan, Stuart & Mak, Christine, 2017. "Urban agglomeration benefits from public transit improvements: Extending and implementing the Venables model," Research in Transportation Economics, Elsevier, vol. 66(C), pages 36-45.
    13. Eivind Tveter, 2021. "Transport network improvements: The effects on wage earnings," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(3), pages 478-491, June.
    14. McArthur, Jenny & Robin, Enora & Smeds, Emilia, 2019. "Socio-spatial and temporal dimensions of transport equity for London's night time economy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 433-443.
    15. Bernadette Power & Justin Doran & Geraldine Ryan, 2019. "The effect of agglomeration economies on firm deaths: A comparison of firm and regional based approaches," Urban Studies, Urban Studies Journal Limited, vol. 56(16), pages 3358-3374, December.
    16. Nian Wang & Yingming Zhu & Yu Pei, 2021. "How does economic infrastructure affect industrial energy efficiency convergence? Empirical evidence from China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(9), pages 13973-13997, September.
    17. Peter Newman, 2014. "Density, the Sustainability Multiplier: Some Myths and Truths with Application to Perth, Australia," Sustainability, MDPI, vol. 6(9), pages 1-21, September.
    18. Tan, Ruipeng & Pan, Lulu & Xu, Mengmeng & He, Xinju, 2022. "Transportation infrastructure, economic agglomeration and non-linearities of green total factor productivity growth in China: Evidence from partially linear functional coefficient model," Transport Policy, Elsevier, vol. 129(C), pages 1-13.
    19. Li, Tiebei & Dodson, Jago & Goldie, Xavier, 2021. "Urban structure, commuting burden, and employment status of labour forces in an Australian city," Journal of Transport Geography, Elsevier, vol. 93(C).
    20. Yao, Yongling & Pan, Haozhi & Cui, Xiaoyu & Wang, Zhen, 2022. "Do compact cities have higher efficiencies of agglomeration economies? A dynamic panel model with compactness indicators," Land Use Policy, Elsevier, vol. 115(C).
    21. Pierre-Henri Bono & Quentin Max David & Rodolphe Desbordes & Loriane Py, 2022. "Metro infrastructure and metropolitan attractiveness," ULB Institutional Repository 2013/355380, ULB -- Universite Libre de Bruxelles.
    22. Elina Sukaryavichute & Elizabeth Delmelle & Colleen Hammelman, 2021. "Opportunities and challenges for small businesses in new transit neighborhoods: Understanding impacts through in‐depth interviews," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(3), pages 1025-1041, June.
    23. Oh, Seunghoon & Chen, Na, 2022. "Do public transit and agglomeration economies collectively enhance low-skilled job accessibility in Portland, OR?," Transport Policy, Elsevier, vol. 115(C), pages 209-219.
    24. Bingjie Niu & Ping Yin & Pengxia Shen, 2023. "Industrial Spatio-Temporal Distribution of High-Speed Rail Station Area from the Accommodation Facilities Perspective: A Multi-City Comparison," Land, MDPI, vol. 12(2), pages 1-16, January.
    25. Xiaojia Chen & Wei Xu, 2022. "Exploring the Effects of Traffic Noise on Innovation through Health Mechanism: A Quasi-Experimental Study in China," Sustainability, MDPI, vol. 14(19), pages 1-16, October.
    26. Melo, Patricia C. & Sobreira, Nuno & Goulart, Pedro, 2019. "Estimating the long-run metro demand elasticities for Lisbon: A time-varying approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 360-376.
    27. Murakami, Jin & Matsui, Yurika & Kato, Hironori, 2016. "Airport rail links and economic productivity: Evidence from 82 cities with the world’s 100 busiest airports," Transport Policy, Elsevier, vol. 52(C), pages 89-99.
    28. Qiao Wang & Xiuyan Liu & Fan Zhang & Tao Hu, 2022. "Subways and the Diffusion of Knowledge: Evidence from China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 30(4), pages 60-99, July.
    29. Wesley E. Marshall & Eric Dumbaugh, 2020. "Revisiting the relationship between traffic congestion and the economy: a longitudinal examination of U.S. metropolitan areas," Transportation, Springer, vol. 47(1), pages 275-314, February.

  13. Park, Hyunsoo & Noland, Robert B. & Lachapelle, Ugo, 2013. "Active school trips: associations with caregiver walking frequency," Transport Policy, Elsevier, vol. 29(C), pages 23-28.

    Cited by:

    1. Maite Adames Torres & Hye Won Oh & Jeongwoo Lee, 2022. "The Built Environment and Children’s Active Commuting to School: A Case Study of San Pedro De Macoris, the Dominican Republic," Land, MDPI, vol. 11(9), pages 1-19, September.
    2. Daniels, Margaret J. & Harmon, Laurlyn K. & Vese, Rodney & Park, Minkyung & Brayley, Russell E., 2018. "Spatial dynamics of tour bus transport within urban destinations," Tourism Management, Elsevier, vol. 64(C), pages 129-141.
    3. Elżbieta Macioszek & Ali Karami & Iman Farzin & Mohammadhossein Abbasi & Amir Reza Mamdoohi & Cristiana Piccioni, 2022. "The Effect of Distance Intervals on Walking Likelihood in Different Trip Purposes," Sustainability, MDPI, vol. 14(6), pages 1-17, March.
    4. Scheiner, Joachim, 2020. "Changes in travel mode use over the life course with partner interactions in couple households," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 791-807.
    5. Rotaris, Lucia & Del Missier, Fabio & Scorrano, Mariangela, 2023. "Comparing children and parental preferences for active commuting to school. A focus on Italian middle-school students," Research in Transportation Economics, Elsevier, vol. 97(C).
    6. Hyunsoo Kim, 2020. "Wearable Sensor Data-Driven Walkability Assessment for Elderly People," Sustainability, MDPI, vol. 12(10), pages 1-13, May.

  14. Hanson, Christopher S. & Noland, Robert B. & Brown, Charles, 2013. "The severity of pedestrian crashes: an analysis using Google Street View imagery," Journal of Transport Geography, Elsevier, vol. 33(C), pages 42-53.

    Cited by:

    1. Seung-Hoon Park & Min-Kyung Bae, 2020. "Exploring the Determinants of the Severity of Pedestrian Injuries by Pedestrian Age: A Case Study of Daegu Metropolitan City, South Korea," IJERPH, MDPI, vol. 17(7), pages 1-16, March.
    2. Aghaabbasi, Mahdi & Moeinaddini, Mehdi & Shah, Muahammad Zaly & Asadi-Shekari, Zohreh, 2018. "Addressing issues in the use of Google tools for assessing pedestrian built environments," Journal of Transport Geography, Elsevier, vol. 73(C), pages 185-198.
    3. Jonathan Stiles & Yuchen Li & Harvey J Miller, 2022. "How does street space influence crash frequency? An analysis using segmented street view imagery," Environment and Planning B, , vol. 49(9), pages 2467-2483, November.
    4. Arsalan Esmaili & Kayvan Aghabayk & Nirajan Shiwakoti, 2022. "Latent Class Cluster Analysis and Mixed Logit Model to Investigate Pedestrian Crash Injury Severity," Sustainability, MDPI, vol. 15(1), pages 1-29, December.
    5. Dongkwan Lee & Jean-Michel Guldmann & Burkhard von Rabenau, 2023. "Impact of Driver’s Age and Gender, Built Environment, and Road Conditions on Crash Severity: A Logit Modeling Approach," IJERPH, MDPI, vol. 20(3), pages 1-22, January.
    6. Prato, Carlo G. & Kaplan, Sigal & Patrier, Alexandre & Rasmussen, Thomas K., 2019. "Integrating police reports with geographic information system resources for uncovering patterns of pedestrian crashes in Denmark," Journal of Transport Geography, Elsevier, vol. 74(C), pages 10-23.

  15. Noland, Robert B., 2013. "From theory to practice in road safety policy: Understanding risk versus mobility," Research in Transportation Economics, Elsevier, vol. 43(1), pages 71-84.

    Cited by:

    1. Kristin Mammen & Hyoung Suk Shim & Bryan S. Weber, 2020. "Vision Zero: Speed Limit Reduction and Traffic Injury Prevention in New York City," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 46(2), pages 282-300, April.
    2. Sebastian Martinez & Raul Sanchez & Patricia Yañez-Pagans, 2019. "Road safety: challenges and opportunities in Latin America and the Caribbean," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 28(1), pages 1-30, December.
    3. Lin Hu & Guangtao Guo & Jing Huang & Xianhui Wu & Kai Chen, 2022. "The Real-World Effects of Route Familiarity on Drivers’ Eye Fixations at Urban Intersections in Changsha, China," IJERPH, MDPI, vol. 19(15), pages 1-13, August.
    4. Bajada, Thérèse & Attard, Maria, 2021. "A typological and spatial analysis of pedestrian fatalities and injuries in Malta," Research in Transportation Economics, Elsevier, vol. 86(C).
    5. Jonathan M. Lee, 2015. "Offsetting or Enhancing Behavior: An Empirical Analysis of Motorcycle Helmet Safety Legislation," Risk Analysis, John Wiley & Sons, vol. 35(10), pages 1820-1836, October.
    6. Alves, Pedro Jorge & Emanuel, Lucas & Pereira, Rafael H.M., 2021. "Highway concessions and road safety:Evidence from Brazil," Research in Transportation Economics, Elsevier, vol. 90(C).

  16. Teik Hua Law & Robert B. Noland & Andrew W. Evans, 2013. "Factors Associated with the Enactment of Safety Belt and Motorcycle Helmet Laws," Risk Analysis, John Wiley & Sons, vol. 33(7), pages 1367-1378, July.

    Cited by:

    1. Lin, Yi-Chen, 2016. "The global distribution of the burden of road traffic injuries: Evolution and intra-distribution mobility," Journal of Transport Geography, Elsevier, vol. 56(C), pages 77-91.
    2. Liangdong Lu & Hong Huang & Jiuchang Wei & Jia Xu, 2020. "Safety Regulations and the Uncertainty of Work‐Related Road Accident Loss: The Triple Identity of Chinese Local Governments Under Principal–Agent Framework," Risk Analysis, John Wiley & Sons, vol. 40(6), pages 1168-1182, June.
    3. Navarro-Moreno, José & de Oña, Juan & Calvo-Poyo, Francisco, 2023. "How do road infrastructure investments affect Powered Two-Wheelers crash risk?," Transport Policy, Elsevier, vol. 138(C), pages 60-73.

  17. Kim, Junghwa & Schmöcker, Jan-Dirk & Fujii, Satoshi & Noland, Robert B., 2013. "Attitudes towards road pricing and environmental taxation among US and UK students," Transportation Research Part A: Policy and Practice, Elsevier, vol. 48(C), pages 50-62.

    Cited by:

    1. Faure, Corinne & Guetlein, Marie-Charlotte & Schleich, Joachim & Tu, Gengyang & Whitmarsh, Lorraine & Whittle, Colin, 2022. "Household acceptability of energy efficiency policies in the European Union: Policy characteristics trade-offs and the role of trust in government and environmental identity," Ecological Economics, Elsevier, vol. 192(C).
    2. Mehdizadeh, Milad & Shariat-Mohaymany, Afshin, 2021. "Who are less likely to vote for a low emission charging zone? Attitudes and adoption of hybrid and electric vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 146(C), pages 29-43.
    3. Kirschner, Franziska & Lanzendorf, Martin, 2020. "Support for innovative on-street parking policies: empirical evidence from an urban neighborhood," Journal of Transport Geography, Elsevier, vol. 85(C).
    4. Jian Wang & Libing Chi & Xiaowei Hu & Hongfei Zhou, 2014. "Urban Traffic Congestion Pricing Model with the Consideration of Carbon Emissions Cost," Sustainability, MDPI, vol. 6(2), pages 1-16, February.
    5. Zheng, Zuduo & Liu, Zhiyuan & Liu, Chuanli & Shiwakoti, Nirajan, 2014. "Understanding public response to a congestion charge: A random-effects ordered logit approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 117-134.
    6. Wang, Xize & Rodríguez, Daniel A. & Mahendra, Anjali, 2021. "Support for market-based and command-and-control congestion relief policies in Latin American cities: Effects of mobility, environmental health, and city-level factors," Transportation Research Part A: Policy and Practice, Elsevier, vol. 146(C), pages 91-108.
    7. Balbontin, Camila & Hensher, David A. & Collins, Andrew T., 2017. "Do familiarity and awareness influence voting intention: The case of road pricing reform?," Journal of choice modelling, Elsevier, vol. 25(C), pages 11-27.
    8. Kaplan, Sigal & de Abreu e Silva, João & Di Ciommo, Floridea, 2014. "The relationship between young people׳s transit use and their perceptions of equity concepts in transit service provision," Transport Policy, Elsevier, vol. 36(C), pages 79-87.
    9. Uba, Chijioke Dike & Chatzidakis, Andreas, 2016. "Understanding engagement and disengagement from pro-environmental behaviour: The role of neutralization and affirmation techniques in maintaining persistence in and desistance from car use," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 278-294.
    10. Sara Maestre-Andrés & Stefan Drews & Ivan Savin & Jeroen Bergh, 2021. "Carbon tax acceptability with information provision and mixed revenue uses," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
    11. Dugan, Anna & Mayer, Jakob & Thaller, Annina & Bachner, Gabriel & Steininger, Karl W., 2022. "Developing policy packages for low-carbon passenger transport: A mixed methods analysis of trade-offs and synergies," Ecological Economics, Elsevier, vol. 193(C).
    12. Axsen, Jonn & Wolinetz, Michael, 2021. "Taxes, tolls and ZEV zones for climate: Synthesizing insights on effectiveness, efficiency, equity, acceptability and implementation," Energy Policy, Elsevier, vol. 156(C).
    13. Krabbenborg, Lizet & van Langevelde-van Bergen, Chris & Molin, Eric, 2021. "Public support for tradable peak credit schemes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 145(C), pages 243-259.
    14. Amaya, Johanna & Arellana, Julian & Delgado-Lindeman, Maira, 2020. "Stakeholders perceptions to sustainable urban freight policies in emerging markets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 329-348.
    15. Sugiarto, Sugiarto & Miwa, Tomio & Morikawa, Takayuki, 2017. "Inclusion of latent constructs in utilitarian resource allocation model for analyzing revenue spending options in congestion charging policy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 36-53.
    16. Emma Ejelöv & Andreas Nilsson, 2020. "Individual Factors Influencing Acceptability for Environmental Policies: A Review and Research Agenda," Sustainability, MDPI, vol. 12(6), pages 1-14, March.
    17. Yacan Wang & Yu Wang & Luyao Xie & Huiyu Zhou, 2018. "Impact of Perceived Uncertainty on Public Acceptability of Congestion Charging: An Empirical Study in China," Sustainability, MDPI, vol. 11(1), pages 1-21, December.
    18. Müggenburg, Hannah, 2021. "Beyond the limits of memory? The reliability of retrospective data in travel research," Transportation Research Part A: Policy and Practice, Elsevier, vol. 145(C), pages 302-318.
    19. Luo, Mingjie & Ma, Zhuanglin & Zhao, Wenjing & Enoch, Marcus & I-Jy Chien, Steven, 2022. "An ex-post evaluation of the public acceptance of a license plate-based restriction policy: A case study of Xi’an, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 259-282.
    20. Mehdizadeh, Milad & Shariat-Mohaymany, Afshin, 2020. "Who are more likely to break the rule of congestion charging? Evidence from an active scheme with no referendum voting," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 63-79.
    21. Cavallaro, Federico & Giaretta, Federico & Nocera, Silvio, 2018. "The potential of road pricing schemes to reduce carbon emissions," Transport Policy, Elsevier, vol. 67(C), pages 85-92.
    22. Hsieh, Hsu-Sheng, 2022. "Road pricing acceptability and persuasive communication effectiveness," Transport Policy, Elsevier, vol. 125(C), pages 179-191.
    23. Lingyi Zhou & Yixin Dai, 2017. "How Smog Awareness Influences Public Acceptance of Congestion Charge Policies," Sustainability, MDPI, vol. 9(9), pages 1-15, September.
    24. Krabbenborg, Lizet & Molin, Eric & Annema, Jan Anne & van Wee, Bert, 2020. "Public frames in the road pricing debate: A Q-methodology study," Transport Policy, Elsevier, vol. 93(C), pages 46-53.
    25. Grisolía, José M. & López, Francisco & Ortúzar, Juan de Dios, 2015. "Increasing the acceptability of a congestion charging scheme," Transport Policy, Elsevier, vol. 39(C), pages 37-47.
    26. Liu, Qiyang & Lucas, Karen & Marsden, Greg & Liu, Yang, 2019. "Egalitarianism and public perception of social inequities: A case study of Beijing congestion charge," Transport Policy, Elsevier, vol. 74(C), pages 47-62.
    27. Ramos, Raúl & Cantillo, Víctor & Arellana, Julián & Sarmiento, Iván, 2017. "From restricting the use of cars by license plate numbers to congestion charging: Analysis for Medellin, Colombia," Transport Policy, Elsevier, vol. 60(C), pages 119-130.

  18. Lachapelle, Ugo & Noland, Robert B., 2012. "Does the commute mode affect the frequency of walking behavior? The public transit link," Transport Policy, Elsevier, vol. 21(C), pages 26-36.

    Cited by:

    1. Boisjoly, Geneviève & Serra, Bernardo & Oliveira, Gabriel T. & El-Geneidy, Ahmed, 2020. "Accessibility measurements in São Paulo, Rio de Janeiro, Curitiba and Recife, Brazil," Journal of Transport Geography, Elsevier, vol. 82(C).
    2. Seongman Jang & Youngsoo An & Changhyo Yi & Seungil Lee, 2017. "Assessing the spatial equity of Seoul’s public transportation using the Gini coefficient based on its accessibility," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 21(1), pages 91-107, January.
    3. Sheila Ferrer & Tomás Ruiz, 2017. "Comparison on travel scheduling between driving and walking trips by habitual car users," Transportation, Springer, vol. 44(1), pages 27-48, January.
    4. Gascon, Mireia & Marquet, Oriol & Gràcia-Lavedan, Esther & Ambròs, Albert & Götschi, Thomas & Nazelle, Audrey de & Panis, Luc Int & Gerike, Regine & Brand, Christian & Dons, Evi & Eriksson, Ulf & Iaco, 2020. "What explains public transport use? Evidence from seven European cities," Transport Policy, Elsevier, vol. 99(C), pages 362-374.
    5. William Michelson & Ugo Lachapelle, 2016. "Patterns of Walking Among Employed, Urban Canadians: Variations by Commuting Mode, Time of Day, and Days of the Week," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 11(4), pages 1321-1340, December.
    6. Werner, Carol M. & Brown, Barbara B. & Tribby, Calvin P. & Tharp, Doug & Flick, Kristi & Miller, Harvey J. & Smith, Ken R. & Jensen, Wyatt, 2016. "Evaluating the attractiveness of a new light rail extension: Testing simple change and displacement change hypotheses," Transport Policy, Elsevier, vol. 45(C), pages 15-23.
    7. Hong, Andy & Boarnet, Marlon G. & Houston, Douglas, 2016. "New light rail transit and active travel: A longitudinal study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 131-144.
    8. Gupta, Akshay & Bivina, G.R. & Parida, Manoranjan, 2022. "Does neighborhood design matter for walk access to metro stations? An integrated SEM-Hybrid discrete mode choice approach," Transport Policy, Elsevier, vol. 121(C), pages 61-77.
    9. Chandra, Shailesh & Bari, Muhammad Ehsanul & Devarasetty, Prem Chand & Vadali, Sharada, 2013. "Accessibility evaluations of feeder transit services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 52(C), pages 47-63.
    10. Md Moniruzzaman & Antonio Páez & Darren Scott & Catherine Morency, 2015. "Trip Generation of Seniors and the Geography of Walking in Montreal," Environment and Planning A, , vol. 47(4), pages 957-976, April.
    11. Bereitschaft, Bradley, 2020. "Gentrification and the evolution of commuting behavior within America's urban cores, 2000–2015," Journal of Transport Geography, Elsevier, vol. 82(C).
    12. Hatamzadeh, Yaser, 2021. "Working commuters’ tendency toward a travel pattern with potentially more walking: Examining the relative influence of personal and environmental measures," Research in Transportation Economics, Elsevier, vol. 86(C).
    13. Andy Hong & Marlon G. Boarnet & Doug Houston, 2013. "Does light rail transit increase physical activity?," Working Paper 9212, USC Lusk Center for Real Estate.
    14. Jayne Hutchinson & Stephanie L. Prady & Michaela A. Smith & Piran C. L. White & Hilary M. Graham, 2015. "A Scoping Review of Observational Studies Examining Relationships between Environmental Behaviors and Health Behaviors," IJERPH, MDPI, vol. 12(5), pages 1-26, May.
    15. Kenneth Joh & Sandip Chakrabarti & Marlon G. Boarnet & Ayoung Woo, 2015. "The Walking Renaissance: A Longitudinal Analysis of Walking Travel in the Greater Los Angeles Area, USA," Sustainability, MDPI, vol. 7(7), pages 1-27, July.
    16. Noland, Robert B. & Weiner, Marc D. & DiPetrillo, Stephanie & Kay, Andrew I., 2017. "Attitudes towards transit-oriented development: Resident experiences and professional perspectives," Journal of Transport Geography, Elsevier, vol. 60(C), pages 130-140.
    17. Simons, Dorien & Clarys, Peter & De Bourdeaudhuij, Ilse & de Geus, Bas & Vandelanotte, Corneel & Deforche, Benedicte, 2014. "Why do young adults choose different transport modes? A focus group study," Transport Policy, Elsevier, vol. 36(C), pages 151-159.
    18. Ugo Lachapelle & Georges A Tanguay & Léa Neumark-Gaudet, 2018. "Telecommuting and sustainable travel: Reduction of overall travel time, increases in non-motorised travel and congestion relief?," Urban Studies, Urban Studies Journal Limited, vol. 55(10), pages 2226-2244, August.
    19. Gao, Jie & Kamphuis, Carlijn B.M. & Helbich, Marco & Ettema, Dick, 2020. "What is ‘neighborhood walkability’? How the built environment differently correlates with walking for different purposes and with walking on weekdays and weekends," Journal of Transport Geography, Elsevier, vol. 88(C).

  19. Piyapong Jiwattanakulpaisarn & Robert B. Noland & Daniel J. Graham, 2012. "Marginal Productivity of Expanding Highway Capacity," Journal of Transport Economics and Policy, University of Bath, vol. 46(3), pages 333-347, September.

    Cited by:

    1. Zhang, Yijia & Cheng, Lu, 2023. "The role of transport infrastructure in economic growth: Empirical evidence in the UK," Transport Policy, Elsevier, vol. 133(C), pages 223-233.
    2. Arbués, Pelayo & Baños, José F. & Mayor, Matías, 2015. "The spatial productivity of transportation infrastructure," Transportation Research Part A: Policy and Practice, Elsevier, vol. 75(C), pages 166-177.
    3. Taotao Deng & Shuai Shao & Lili Yang & Xueliang Zhang, 2014. "Has the transport-led economic growth effect reached a peak in China? A panel threshold regression approach," Transportation, Springer, vol. 41(3), pages 567-587, May.
    4. Nisha S. Simon & P. Natarajan, 2017. "Nonlinearity between Infrastructure Inequality and Growth," Review of Market Integration, India Development Foundation, vol. 9(1-2), pages 66-82, April.
    5. Qi, Guanqiu & Shi, Wenming & Lin, Kun-Chin & Yuen, Kum Fai & Xiao, Yi, 2020. "Spatial spillover effects of logistics infrastructure on regional development: Evidence from China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 96-114.
    6. Alexander Eck & Joachim Ragnitz & Simone Scharfe & Christian Thater & Bernhard Wieland, 2015. "Public Investments in Infrastructure: Development, Causal Factors and Growth Effects," ifo Dresden Studien, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 72.
    7. Matthias Sweet, 2014. "Traffic Congestion’s Economic Impacts: Evidence from US Metropolitan Regions," Urban Studies, Urban Studies Journal Limited, vol. 51(10), pages 2088-2110, August.
    8. Zolnik, Edmund J., 2018. "Effects of additional capacity on vehicle kilometers of travel in the U.S.: Evidence from National Household Travel Surveys," Journal of Transport Geography, Elsevier, vol. 66(C), pages 1-9.
    9. Michael Iacono & David Levinson, 2012. "Rural Highway Expansion and Economic Development: Impacts on Private Earnings and Employment," Working Papers 000101, University of Minnesota: Nexus Research Group.
    10. Elburz, Zeynep & Nijkamp, Peter & Pels, Eric, 2017. "Public infrastructure and regional growth: Lessons from meta-analysis," Journal of Transport Geography, Elsevier, vol. 58(C), pages 1-8.
    11. Elena Cigu & Daniela Tatiana Agheorghiesei & Anca Florentina Gavriluță (Vatamanu) & Elena Toader, 2018. "Transport Infrastructure Development, Public Performance and Long-Run Economic Growth: A Case Study for the Eu-28 Countries," Sustainability, MDPI, vol. 11(1), pages 1-22, December.
    12. Barzin, Samira & D'Costa, Sabine & Graham, Daniel J., 2018. "A pseudo – panel approach to estimating dynamic effects of road infrastructure on firm performance in a developing country context," Regional Science and Urban Economics, Elsevier, vol. 70(C), pages 20-34.
    13. Li, Jianling & Whitaker, Elizabeth, 2018. "The impact of governmental highway investments on local economic outcome in the post-highway era," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 410-420.
    14. Leibowicz, Benjamin D., 2020. "Urban land use and transportation planning for climate change mitigation: A theoretical framework," European Journal of Operational Research, Elsevier, vol. 284(2), pages 604-616.
    15. Paskynel Jacques-Arvisais & Simon Lapointe, 2022. "The Impact of Transport Infrastructure on Productivity in Canada," CSLS Research Reports 2022-02, Centre for the Study of Living Standards.
    16. Holmgren, Johan & Merkel, Axel, 2017. "Much ado about nothing? – A meta-analysis of the relationship between infrastructure and economic growth," Research in Transportation Economics, Elsevier, vol. 63(C), pages 13-26.

  20. Patricia C. Melo & Daniel J. Graham & Robert B. Noland, 2012. "The effect of labour market spatial structure on commuting in England and Wales ‡," Journal of Economic Geography, Oxford University Press, vol. 12(3), pages 717-737, May.

    Cited by:

    1. Gianfranco Piras & Mauricio Sarrias, 2023. "Heterogeneous spatial models in R: spatial regimes models," Journal of Spatial Econometrics, Springer, vol. 4(1), pages 1-32, December.
    2. Marcińczak, Szymon & Bartosiewicz, Bartosz, 2018. "Commuting patterns and urban form: Evidence from Poland," Journal of Transport Geography, Elsevier, vol. 70(C), pages 31-39.
    3. Akiko Sakanishi, 2020. "Urban commuting behavior and time allocation among women: Evidence from US metropolitan areas," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(2), pages 349-363, April.
    4. Zhentao Li & Tianzi Li, 2022. "How Does City Size Affect the Cost of Household Travel? Evidence from an Urban Household Survey in China," IJERPH, MDPI, vol. 19(11), pages 1-20, June.
    5. Pot, Felix Johan & Koster, Sierdjan, 2022. "Small airports: Runways to regional economic growth?," Journal of Transport Geography, Elsevier, vol. 98(C).
    6. Damiaan Persyn & Wouter Torfs, 2013. "A gravity equation for commuting - with an application to estimating regional and language border effects in Belgium," ERSA conference papers ersa13p599, European Regional Science Association.
    7. Heuermann, Daniel F. & Schmieder, Johannes F., 2014. "Warping Space: High-Speed Rail and Returns to Scale in Local Labor Markets," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100293, Verein für Socialpolitik / German Economic Association.

  21. Sehatzadeh, Bahareh & Noland, Robert B. & Weiner, Marc D., 2011. "Walking frequency, cars, dogs, and the built environment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(8), pages 741-754, October.

    Cited by:

    1. Alvaro Rodriguez-Valencia & Jose Agustin Vallejo-Borda & German A. Barrero & Hernan Alberto Ortiz-Ramirez, 2022. "Towards an enriched framework of service evaluation for pedestrian and bicyclist infrastructure: acknowledging the power of users’ perceptions," Transportation, Springer, vol. 49(3), pages 791-814, June.
    2. Ana Margarita Larranaga & Julián Arellana & Luis Ignacio Rizzi & Orlando Strambi & Helena Beatriz Bettella Cybis, 2019. "Using best–worst scaling to identify barriers to walkability: a study of Porto Alegre, Brazil," Transportation, Springer, vol. 46(6), pages 2347-2379, December.
    3. Yi Zhang & Wei Wu & Yuan Li & Qixing Liu & Chaoyang Li, 2014. "Does the Built Environment Make a Difference? An Investigation of Household Vehicle Use in Zhongshan Metropolitan Area, China," Sustainability, MDPI, vol. 6(8), pages 1-21, August.
    4. Wei Huang & Wann-Ming Wey, 2019. "Green Urbanism Embedded in TOD for Urban Built Environment Planning and Design," Sustainability, MDPI, vol. 11(19), pages 1-14, September.
    5. Soltani, Ali, 2017. "Social and urban form determinants of vehicle ownership; evidence from a developing country," Transportation Research Part A: Policy and Practice, Elsevier, vol. 96(C), pages 90-100.
    6. Lachapelle, Ugo & Noland, Robert B., 2012. "Does the commute mode affect the frequency of walking behavior? The public transit link," Transport Policy, Elsevier, vol. 21(C), pages 26-36.
    7. Guimpert, Ignacio & Hurtubia, Ricardo, 2018. "Measuring, understanding and modelling the Walking Neighborhood as a function of built environment and socioeconomic variables," Journal of Transport Geography, Elsevier, vol. 71(C), pages 32-44.
    8. Elżbieta Macioszek & Ali Karami & Iman Farzin & Mohammadhossein Abbasi & Amir Reza Mamdoohi & Cristiana Piccioni, 2022. "The Effect of Distance Intervals on Walking Likelihood in Different Trip Purposes," Sustainability, MDPI, vol. 14(6), pages 1-17, March.
    9. Cui, Yuchen & Mishra, Sabyasachee & Welch, Timothy F., 2014. "Land use effects on bicycle ridership: a framework for state planning agencies," Journal of Transport Geography, Elsevier, vol. 41(C), pages 220-228.
    10. Tao, Tao & Cao, Jason, 2023. "Exploring nonlinear and collective influences of regional and local built environment characteristics on travel distances by mode," Journal of Transport Geography, Elsevier, vol. 109(C).
    11. Mendiate, Classio Joao & Nkurunziza, Alphonse & Machanguana, Constancio Augusto & Bernardo, Roberto, 2022. "Pedestrian travel behaviour and urban form: Comparing two small Mozambican cities," Journal of Transport Geography, Elsevier, vol. 98(C).
    12. Law, Teik Hua & Hamid, Hussain & Goh, Chia Ning, 2015. "The motorcycle to passenger car ownership ratio and economic growth: A cross-country analysis," Journal of Transport Geography, Elsevier, vol. 46(C), pages 122-128.

  22. Daniel Chatman & Robert Noland, 2011. "Do Public Transport Improvements Increase Agglomeration Economies? A Review of Literature and an Agenda for Research," Transport Reviews, Taylor & Francis Journals, vol. 31(6), pages 725-742.

    Cited by:

    1. Xiaoli Hu & Jieping Chen & Shanlang Lin, 2023. "Influence from highways’ development on green technological innovation: the case of Yangtze River economic belt in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 11095-11120, October.
    2. Hamidi, Shima & Zandiatashbar, Ahoura & Bonakdar, Ahmad, 2019. "The relationship between regional compactness and regional innovation capacity (RIC): Empirical evidence from a national study," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 394-402.
    3. Barros, Victor & Cruz, Carlos Oliveira & Júdice, Tomás & Sarmento, Joaquim Miranda, 2021. "Is taxation being effectively used to promote public transport in Europe?," Transport Policy, Elsevier, vol. 114(C), pages 215-224.
    4. Huang, Ying & Xu, Wangtu (Ato), 2021. "Spatial and temporal heterogeneity of the impact of high-speed railway on urban economy: Empirical study of Chinese cities," Journal of Transport Geography, Elsevier, vol. 91(C).
    5. Taotao Deng, 2013. "Impacts of Transport Infrastructure on Productivity and Economic Growth: Recent Advances and Research Challenges," Transport Reviews, Taylor & Francis Journals, vol. 33(6), pages 686-699, November.
    6. Oh, Seunghoon & Hofe, Rainer vom, 2023. "Transit-induced Agglomeration and Employment Opportunity: A Spatial Econometric Analysis of Skill- and Industry-specific Job Clusters in Philadelphia, PA," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 53(1), May.
    7. Nian Wang & Yingming Zhu, 2022. "The Integration of Traditional Transportation Infrastructure and Informatization Development: How Does It Affect Carbon Emissions?," Energies, MDPI, vol. 15(20), pages 1-23, October.
    8. Yu, Haitao & Jiao, Junfeng & Houston, Eric & Peng, Zhong-Ren, 2018. "Evaluating the relationship between rail transit and industrial agglomeration: An observation from the Dallas-fort worth region, TX," Journal of Transport Geography, Elsevier, vol. 67(C), pages 33-52.
    9. Taotao Deng & Shuai Shao & Lili Yang & Xueliang Zhang, 2014. "Has the transport-led economic growth effect reached a peak in China? A panel threshold regression approach," Transportation, Springer, vol. 41(3), pages 567-587, May.
    10. Bishal Bhakta Kasu & Guangqing Chi, 2018. "The Evolving and Complementary Impacts of Transportation Infrastructures on Population and Employment Change in the United States, 1970–2010," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 37(6), pages 1003-1029, December.
    11. Wang, Yunmin & Cao, Guohua & Yan, Youliang & Wang, Jingjing, 2022. "Does high-speed rail stimulate cross-city technological innovation collaboration? Evidence from China," Transport Policy, Elsevier, vol. 116(C), pages 119-131.
    12. Champagne, Marie-Pier & Dubé, Jean, 2023. "The impact of transport infrastructure on firms’ location decision: A meta-analysis based on a systematic literature review," Transport Policy, Elsevier, vol. 131(C), pages 139-155.
    13. Park, Jin Suk & Seo, Young-Joon & Ha, Min-Ho, 2019. "The role of maritime, land, and air transportation in economic growth: Panel evidence from OECD and non-OECD countries," Research in Transportation Economics, Elsevier, vol. 78(C).
    14. Maya Safira & Makoto Chikaraishi, 2023. "The impact of online food delivery service on eating-out behavior: a case of Multi-Service Transport Platforms (MSTPs) in Indonesia," Transportation, Springer, vol. 50(6), pages 2253-2271, December.
    15. Chang, Zheng & Phang, Sock-Yong, 2017. "Urban rail transit PPPs: Lessons from East Asian cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 105(C), pages 106-122.
    16. Kevin Credit, 2018. "Transit-oriented economic development: The impact of light rail on new business starts in the Phoenix, AZ Region, USA," Urban Studies, Urban Studies Journal Limited, vol. 55(13), pages 2838-2862, October.
    17. Andersson, Matts & Dehlin, Fredrik & Jörgensen, Peter & Pädam, Sirje, 2015. "Wider economic impacts of accessibility: a literature survey," Working papers in Transport Economics 2015:14, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    18. Beyazit, Eda, 2015. "Are wider economic impacts of transport infrastructures always beneficial? Impacts of the Istanbul Metro on the generation of spatio-economic inequalities," Journal of Transport Geography, Elsevier, vol. 45(C), pages 12-23.
    19. Boeing, Geoff, 2018. "The Effects of Inequality, Density, and Heterogeneous Residential Preferences on Urban Displacement and Metropolitan Structure: An Agent-Based Model," SocArXiv mkq7d, Center for Open Science.
    20. Mullen, Caroline & Marsden, Greg, 2015. "Transport, economic competitiveness and competition: A city perspective," Journal of Transport Geography, Elsevier, vol. 49(C), pages 1-8.
    21. Meng Wang & Yaoqiu Kuang & Ningsheng Huang, 2015. "Sustainable Urban External Service Function Development for Building the International Megalopolis in the Pearl River Delta, China," Sustainability, MDPI, vol. 7(10), pages 1-26, September.
    22. Yaqi Hu & Yingzi Chen, 2022. "Coupling of Urban Economic Development and Transportation System: An Urban Agglomeration Case," Sustainability, MDPI, vol. 14(7), pages 1-17, March.
    23. Shanlang Lin & Prithvi Raj Dhakal & Zhaowei Wu, 2021. "The Impact of High-Speed Railway on China’s Regional Economic Growth Based on the Perspective of Regional Heterogeneity of Quality of Place," Sustainability, MDPI, vol. 13(9), pages 1-24, April.
    24. Alimo, Philip Kofi & Agyeman, Stephen & Zankawah, Sanusi Mumuni & Yu, Chunhui & Cheng, Lin & Ma, Wanjing, 2022. "Factors causing low demand for a suburban passenger train in Sekondi-Takoradi," Journal of Transport Geography, Elsevier, vol. 98(C).
    25. Li, Tiebei & Dodson, Jago & Goldie, Xavier, 2021. "Urban structure, commuting burden, and employment status of labour forces in an Australian city," Journal of Transport Geography, Elsevier, vol. 93(C).
    26. Sun, Yu & Cui, Yin, 2018. "Evaluating the coordinated development of economic, social and environmental benefits of urban public transportation infrastructure: Case study of four Chinese autonomous municipalities," Transport Policy, Elsevier, vol. 66(C), pages 116-126.
    27. Oh, Seunghoon & Chen, Na, 2022. "Do public transit and agglomeration economies collectively enhance low-skilled job accessibility in Portland, OR?," Transport Policy, Elsevier, vol. 115(C), pages 209-219.
    28. Morikawa, So & Aoyama, Miwa & Kato, Hironori, 2023. "Development of railway station plazas: Impact on land prices of surrounding areas," Transport Policy, Elsevier, vol. 142(C), pages 1-14.
    29. Ahoura Zandiatashbar & Carla Maria Kayanan, 2020. "Negative Consequences of Innovation-Igniting Urban Developments: Empirical Evidence from Three US Cities," Urban Planning, Cogitatio Press, vol. 5(3), pages 378-391.
    30. Anyu Chen & Yueran Li & Kunhui Ye & Tianyi Nie & Rui Liu, 2021. "Does Transport Infrastructure Inequality Matter for Economic Growth? Evidence from China," Land, MDPI, vol. 10(8), pages 1-21, August.
    31. Konno, Akio & Kato, Hironori & Takeuchi, Wataru & Kiguchi, Riku, 2021. "Global evidence on productivity effects of road infrastructure incorporating spatial spillover effects," Transport Policy, Elsevier, vol. 103(C), pages 167-182.
    32. Daniel G. Chatman & Robert B. Noland, 2014. "Transit Service, Physical Agglomeration and Productivity in US Metropolitan Areas," Urban Studies, Urban Studies Journal Limited, vol. 51(5), pages 917-937, April.
    33. Guowei Lyu & Luca Bertolini & Karin Pfeffer, 2020. "Is Labour Productivity Higher in Transit Oriented Development Areas? A Study of Beijing," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 111(4), pages 652-670, September.
    34. Chatman , Daniel & Xu, Ruoying & Park , Janice & Le, Kim, 2016. "Public Transportation and Industrial Location Patterns in California," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt1z01h8ts, Institute of Transportation Studies, UC Berkeley.
    35. Méndez Ortega, Carles, 2019. "Entry determinants of the Software and Video games firms in Barcelona," Working Papers 2072/376025, Universitat Rovira i Virgili, Department of Economics.
    36. Sanwei He & Shan Yu & Lei Wang, 2021. "The nexus of transport infrastructure and economic output in city-level China: a heterogeneous panel causality analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 66(1), pages 113-135, February.
    37. Rong Yang & Linda Yin-nor Tjia & Matthias Finger, 2021. "Research on the Impact of Urban Rail Transit on the Financing Constraints of Enterprises from the Perspective of Sustainability," Sustainability, MDPI, vol. 13(19), pages 1-19, September.
    38. Givoni, Moshe, 2017. "Assessing core-periphery relation through travel patterns - The case of Israel," Research in Transportation Economics, Elsevier, vol. 63(C), pages 73-85.
    39. Euijune Kim & Min Jiang & Byula Kim, 2022. "Analyzing impacts of Vietnam’s North–South highway on creation of regional cluster," Asia-Pacific Journal of Regional Science, Springer, vol. 6(2), pages 617-633, June.
    40. Zhou, You & Zhang, Lingzhu & JF Chiaradia, Alain, 2022. "Estimating wider economic impacts of transport infrastructure Investment: Evidence from accessibility disparity in Hong Kong," Transportation Research Part A: Policy and Practice, Elsevier, vol. 162(C), pages 220-235.
    41. Liaqat Ali & Salim Khan & Syed Jamal Shah & Aman Ullah & Hina Ashraf & Mushtaq Ahmad & Abida Begum & Heesup Han & Antonio Ariza-Montes & Luis Araya-Castillo & Afed Ullah Khan & Muhammad Anas & Abdul M, 2021. "Road and Transportation Lead to Better Health and Sustainable Destination Development in Host Community: A Case of China Pakistan Economic Corridor (CPEC)," IJERPH, MDPI, vol. 18(23), pages 1-16, December.
    42. Iseki, Hiroyuki & Jones, Robert P., 2018. "Analysis of firm location and relocation in relation to Maryland and Washington, DC metro rail stations," Research in Transportation Economics, Elsevier, vol. 67(C), pages 29-43.
    43. Zhang, Linling & Yuan, Jinjian & Gao, Xinyu & Jiang, Dawei, 2021. "Public transportation development decision-making under public participation: A large-scale group decision-making method based on fuzzy preference relations," Technological Forecasting and Social Change, Elsevier, vol. 172(C).

  23. Law, Teik Hua & Noland, Robert B. & Evans, Andrew W., 2011. "The sources of the Kuznets relationship between road fatalities and economic growth," Journal of Transport Geography, Elsevier, vol. 19(2), pages 355-365.

    Cited by:

    1. Loo, Becky P.Y. & Banister, David, 2016. "Decoupling transport from economic growth: Extending the debate to include environmental and social externalities," Journal of Transport Geography, Elsevier, vol. 57(C), pages 134-144.
    2. Lin, Yi-Chen, 2016. "The global distribution of the burden of road traffic injuries: Evolution and intra-distribution mobility," Journal of Transport Geography, Elsevier, vol. 56(C), pages 77-91.
    3. Harizi Riadh, 2021. "Land artificialization, economic growth, and road insecurity: Theoretical improvements and empirical validation for the case of Algeria," Technium Social Sciences Journal, Technium Science, vol. 18(1), pages 241-255, April.
    4. Andrés Ramasco, 2023. "Not a Sip: Effects of Zero Tolerance Laws on Road Traffic Fatalities," Working Papers 289, Red Nacional de Investigadores en Economía (RedNIE).
    5. Law, Teik Hua, 2015. "Factors associated with the relationship between non-fatal road injuries and economic growth," Transport Policy, Elsevier, vol. 42(C), pages 166-172.
    6. Haque, M. Ohidul & Haque, Tariq H., 2018. "Evaluating the effects of the road safety system approach in Brunei," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 594-607.
    7. Yajie Zou & Yue Zhang & Kai Cheng, 2021. "Exploring the Impact of Climate and Extreme Weather on Fatal Traffic Accidents," Sustainability, MDPI, vol. 13(1), pages 1-14, January.
    8. Shuhei Nishitateno & Paul J. Burke, 2014. "The motorcycle Kuznets curve," Departmental Working Papers 2014-04, The Australian National University, Arndt-Corden Department of Economics.
    9. Xibing Li & Jiao Liu & Jian Zhou & Xiling Liu & Lei Zhou & Wei Wei, 2020. "The Effects of Macroeconomic Factors on Road Traffic Safety: A Study Based on the ARDL-ECM Model," Sustainability, MDPI, vol. 12(24), pages 1-16, December.
    10. Cuiping Ren & Qunqi Wu & Chunguo Zhang & Shengzhong Zhang, 2018. "A Normal Distribution-Based Methodology for Analysis of Fatal Accidents in Land Hazardous Material Transportation," IJERPH, MDPI, vol. 15(7), pages 1-12, July.
    11. Kazimierz Jamroz & Marcin Budzyński & Aleksandra Romanowska & Joanna Żukowska & Jacek Oskarbski & Wojciech Kustra, 2019. "Experiences and Challenges in Fatality Reduction on Polish Roads," Sustainability, MDPI, vol. 11(4), pages 1-32, February.
    12. David B. Audretsch & Erik E. Lehmann & Julian Schenkenhofer, 2021. "A Context-Choice Model of Niche Entrepreneurship," Entrepreneurship Theory and Practice, , vol. 45(5), pages 1276-1303, September.
    13. Xingpei Yan & Zheng Zhu, 2020. "City-Level China Traffic Safety Analysis via Multi-Output and Clustering-Based Regression Models," Sustainability, MDPI, vol. 12(8), pages 1-13, April.

  24. Crôtte, Amado & Noland, Robert B. & Graham, Daniel J., 2010. "An analysis of gasoline demand elasticities at the national and local levels in Mexico," Energy Policy, Elsevier, vol. 38(8), pages 4445-4456, August.

    Cited by:

    1. Jeyhun I. Mikayilov & Shahriyar Mukhtarov & Jeyhun Mammadov, 2020. "Gasoline Demand Elasticities at the Backdrop of Lower Oil Prices: Fuel-Subsidizing Country Case," Energies, MDPI, vol. 13(24), pages 1-18, December.
    2. Díaz, Araceli Ortega & Medlock, Kenneth B., 2021. "Price elasticity of demand for fuels by income level in Mexican households," Energy Policy, Elsevier, vol. 151(C).
    3. Furszyfer Del Rio, Dylan D. & Sovacool, Benjamin K., 2023. "Of cooks, crooks and slum-dwellers: Exploring the lived experience of energy and mobility poverty in Mexico's informal settlements," World Development, Elsevier, vol. 161(C).
    4. Moshiri, Saeed, 2020. "Consumer responses to gasoline price and non-price policies," Energy Policy, Elsevier, vol. 137(C).
    5. Ben Sita, Bernard & Marrouch, Walid & Abosedra, Salah, 2012. "Short-run price and income elasticity of gasoline demand: Evidence from Lebanon," Energy Policy, Elsevier, vol. 46(C), pages 109-115.
    6. de Freitas, Luciano Charlita & Kaneko, Shinji, 2011. "Ethanol demand in Brazil: Regional approach," Energy Policy, Elsevier, vol. 39(5), pages 2289-2298, May.
    7. Rodrigues, Luciano & Bacchi, Mirian Rumenos Piedade, 2017. "Analyzing light fuel demand elasticities in Brazil using cointegration techniques," Energy Economics, Elsevier, vol. 63(C), pages 322-331.
    8. José M. Labeaga & Xavier Labandeira & Xiral López-Otero, 2018. "Energy Tax Reform and Poverty Alleviation in Mexico," Working Papers 1801, Universidade de Vigo, Departamento de Economía Aplicada.
    9. Havranek, Tomas & Irsova, Zuzana & Janda, Karel, 2011. "Demand for gasoline is more price-inelastic than commonly thought," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt0m94j50t, Department of Agricultural & Resource Economics, UC Berkeley.
    10. Gillingham, Kenneth & Wagner, Gernot & Rapson, David, "undated". "The Rebound Effect and Energy Efficiency Policy," Energy: Resources and Markets 196916, Fondazione Eni Enrico Mattei (FEEM).
    11. Joze Mencinger, 2010. "Excise Tax Policy and Cross-Border Purchases of Automotive Fuels," DANUBE: Law and Economics Review, European Association Comenius - EACO, issue 4, pages 5-29, December.
    12. Fullerton, Thomas M., Jr. & Munoz Sapien, Gabriel & Barraza de Anda, Martha P. & Dominguez Ruvalcaba, Lisbeily, 2011. "Dinámica del Consumo de Gasolina en Ciudad Juárez, Chihuahua [Gasoline Consumption Dynamics in Ciudad Juárez, Chihuahua]," MPRA Paper 46853, University Library of Munich, Germany, revised 15 Jun 2012.
    13. Rosas-Flores, Jorge Alberto, 2017. "Elements for the development of public policies in the residential sector of Mexico based in the Energy Reform and the Energy Transition law," Energy Policy, Elsevier, vol. 104(C), pages 253-264.
    14. Huntington, Hillard & Barrios, James & Arora, Vipin, 2017. "Review of Key International Demand Elasticities for Major Industrializing Economies," MPRA Paper 95890, University Library of Munich, Germany, revised Aug 2019.
    15. Bakhat, Mohcine & Rosselló, Jaume, 2013. "Evaluating a seasonal fuel tax in a mass tourism destination: A case study for the Balearic Islands," Energy Economics, Elsevier, vol. 38(C), pages 12-18.
    16. Odeck, James & Johansen, Kjell, 2016. "Elasticities of fuel and traffic demand and the direct rebound effects: An econometric estimation in the case of Norway," Transportation Research Part A: Policy and Practice, Elsevier, vol. 83(C), pages 1-13.
    17. Baranzini, Andrea & Weber, Sylvain, 2013. "Elasticities of gasoline demand in Switzerland," Energy Policy, Elsevier, vol. 63(C), pages 674-680.
    18. Nunez, H., 2018. "Building a Bioethanol Market in Mexico," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 275921, International Association of Agricultural Economists.
    19. Melo, Patricia C. & Ramli, Ahmad Razi, 2014. "Estimating fuel demand elasticities to evaluate CO2 emissions: Panel data evidence for the Lisbon Metropolitan Area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 30-46.
    20. Wang, H. & Zhou, P. & Zhou, D.Q., 2012. "An empirical study of direct rebound effect for passenger transport in urban China," Energy Economics, Elsevier, vol. 34(2), pages 452-460.
    21. Bigerna, S. & Bollino, C.A. & Micheli, S. & Polinori, P., 2017. "Revealed and stated preferences for CO2 emissions reduction: The missing link," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 1213-1221.
    22. Tirkaso, Wondmagegn Tafesse & Gren, Ing-Marie, 2020. "Road fuel demand and regional effects of carbon taxes in Sweden," Energy Policy, Elsevier, vol. 144(C).

  25. Jan-Dirk Schmöcker & Fengming Su & Robert Noland, 2010. "An analysis of trip chaining among older London residents," Transportation, Springer, vol. 37(1), pages 105-123, January.

    Cited by:

    1. Su, Rongxiang & Xiao, Jingyi & McBride, Elizabeth C. & Goulias, Konstadinos G., 2021. "Understanding senior's daily mobility patterns in California using human mobility motifs," Journal of Transport Geography, Elsevier, vol. 94(C).
    2. Dal Fiore, Filippo & Mokhtarian, Patricia L. & Salomon, Ilan & Singer, Matan E., 2014. "“Nomads at last”? A set of perspectives on how mobile technology may affect travel," Journal of Transport Geography, Elsevier, vol. 41(C), pages 97-106.
    3. Ge Gao & Huijun Sun & Jianjun Wu, 2019. "Activity-based trip chaining behavior analysis in the network under the parking fee scheme," Transportation, Springer, vol. 46(3), pages 647-669, June.
    4. Liu, Chengxi & Wang, Qian & Susilo, Yusak O., 2019. "Assessing the impacts of collection-delivery points to individual’s activity-travel patterns: A greener last mile alternative?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 121(C), pages 84-99.
    5. Joachim Scheiner & Christian Holz-Rau, 2017. "Women’s complex daily lives: a gendered look at trip chaining and activity pattern entropy in Germany," Transportation, Springer, vol. 44(1), pages 117-138, January.
    6. Wan, Li & Tang, Junqing & Wang, Lihua & Schooling, Jennifer, 2021. "Understanding non-commuting travel demand of car commuters – Insights from ANPR trip chain data in Cambridge," Transport Policy, Elsevier, vol. 106(C), pages 76-87.
    7. Kim, Junghwa & Schmöcker, Jan-Dirk & Nakamura, Toshiyuki & Uno, Nobuhiro & Iwamoto, Takenori, 2020. "Integrated impacts of public transport travel and travel satisfaction on quality of life of older people," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 15-27.
    8. Md Moniruzzaman & Antonio Páez & Darren Scott & Catherine Morency, 2015. "Trip Generation of Seniors and the Geography of Walking in Montreal," Environment and Planning A, , vol. 47(4), pages 957-976, April.
    9. Huang, Yuqiao & Gao, Linjie & Ni, Anning & Liu, Xiaoning, 2021. "Analysis of travel mode choice and trip chain pattern relationships based on multi-day GPS data: A case study in Shanghai, China," Journal of Transport Geography, Elsevier, vol. 93(C).
    10. Yang, Dujuan & Timmermans, Harry & Grigolon, Anna, 2013. "Exploring heterogeneity in travel time expenditure of aging populations in the Netherlands: results of a CHAID analysis," Journal of Transport Geography, Elsevier, vol. 33(C), pages 170-179.
    11. Manoj, M. & Verma, Ashish, 2015. "Activity–travel behaviour of non-workers from Bangalore City in India," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 400-424.
    12. Antonio Páez & Steven Farber, 2012. "Participation and desire: leisure activities among Canadian adults with disabilities," Transportation, Springer, vol. 39(6), pages 1055-1078, November.
    13. Pettersson, Pierre & Schmöcker, Jan-Dirk, 2010. "Active ageing in developing countries? – trip generation and tour complexity of older people in Metro Manila," Journal of Transport Geography, Elsevier, vol. 18(5), pages 613-623.
    14. Henly, Megan & Brucker, Debra L., 2019. "Transportation patterns demonstrate inequalities in community participation for working-age Americans with disabilities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 93-106.

  26. Zia Wadud & Daniel J. Graham & Robert B. Noland, 2010. "Gasoline Demand with Heterogeneity in Household Responses," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 47-74.

    Cited by:

    1. Hermann Buslei, 2023. "Schätzungen der langfristigen Preiselastizitäten der Energienachfrage für Heizung und Verkehr - eine Übersicht mit Schwerpunkt Deutschland," DIW Berlin: Politikberatung kompakt, DIW Berlin, German Institute for Economic Research, volume 127, number pbk194, January.
    2. Liu, Weiwei, 2015. "Gasoline taxes or efficiency standards? A heterogeneous household demand analysis," Energy Policy, Elsevier, vol. 80(C), pages 54-64.
    3. Daniele Valenti & Andrea Bastianin & Matteo Manera, 2022. "A weekly structural VAR model of the US crude oil market," Working Papers 2022.11, Fondazione Eni Enrico Mattei.
    4. Taiebat, Morteza & Stolper, Samuel & Xu, Ming, 2019. "Forecasting the Impact of Connected and Automated Vehicles on Energy Use: A Microeconomic Study of Induced Travel and Energy Rebound," LawArXiv dk6qv, Center for Open Science.
    5. Liu, Weiwei, 2014. "Modeling gasoline demand in the United States: A flexible semiparametric approach," Energy Economics, Elsevier, vol. 45(C), pages 244-253.
    6. Tilov, Ivan & Weber, Sylvain, 2023. "Heterogeneity in price elasticity of vehicle kilometers traveled: Evidence from micro-level panel data," Energy Economics, Elsevier, vol. 127(PA).
    7. Brännlund, Runar, 2013. "The effects on energy saving from taxes on motor fuels: The Swedish case," CERE Working Papers 2013:6, CERE - the Center for Environmental and Resource Economics.
    8. Bakhat, Mohcine & Labandeira, Xavier & Labeaga, José M. & López-Otero, Xiral, 2017. "Elasticities of transport fuels at times of economic crisis: An empirical analysis for Spain," Energy Economics, Elsevier, vol. 68(S1), pages 66-80.
    9. Ben Sita, Bernard & Marrouch, Walid & Abosedra, Salah, 2012. "Short-run price and income elasticity of gasoline demand: Evidence from Lebanon," Energy Policy, Elsevier, vol. 46(C), pages 109-115.
    10. Vance, Colin & Frondel, Manuel, 2015. "From fuel taxation to efficiency standards: A wrong turn in European climate protection?," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113171, Verein für Socialpolitik / German Economic Association.
    11. Levin, Laurence & Lewis, Matthew S. & Wolak, Frank A., 2022. "Reference dependence in the demand for gasoline," Journal of Economic Behavior & Organization, Elsevier, vol. 197(C), pages 561-578.
    12. Manuel Frondel & Colin Vance, 2018. "Drivers’ response to fuel taxes and efficiency standards: evidence from Germany," Transportation, Springer, vol. 45(3), pages 989-1001, May.
    13. Frondel, Manuel & Ritter, Nolan & Vance, Colin, 2012. "Heterogeneity in the rebound effect: Further evidence for Germany," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 34(2), pages 461-467.
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    17. Aurélien Saussay, 2019. "Dynamic heterogeneity: rational habits and the heterogeneity of household responses to gasoline prices," Post-Print hal-03632598, HAL.
    18. Morteza Taiebat & Samuel Stolper & Ming Xu, 2019. "Forecasting the Impact of Connected and Automated Vehicles on Energy Use A Microeconomic Study of Induced Travel and Energy Rebound," Papers 1902.00382, arXiv.org, revised May 2019.
    19. Broberg, Thomas, 2014. "Relative income and the WTP for public goods - A case study of forest conservation in Sweden," CERE Working Papers 2014:6, CERE - the Center for Environmental and Resource Economics.
    20. Spiller, Elisheba & Stephens, Heather M., 2012. "The Heterogeneous Effects of Gasoline Taxes: Why Where We Live Matters," RFF Working Paper Series dp-12-30, Resources for the Future.
    21. Gert Peersman & Joris Wauters, 2022. "Heterogeneous household responses to energy price shocks," Working Paper Research 416, National Bank of Belgium.
    22. Emmanuel Flavian Sapnken & Jean Gaston Tamba & Salome Njakomo Essiane & Francis Djanna Koffi & Donatien Njomo, 2018. "Modeling and Forecasting Gasoline Consumption in Cameroon using Linear Regression Models," International Journal of Energy Economics and Policy, Econjournals, vol. 8(2), pages 111-120.
    23. Dongfeng Chang & Apostolos Serletis, 2014. "The Demand For Gasoline: Evidence From Household Survey Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(2), pages 291-313, March.
    24. Sánchez, Luis & Reyes, Orlando, 2016. "La demanda de gasolinas, gas licuado de petróleo y electricidad en el Ecuador: elementos para una reforma fiscal ambiental," Documentos de Proyectos 40629, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    25. Goetzke, Frank & Vance, Colin, 2021. "An increasing gasoline price elasticity in the United States?," Energy Economics, Elsevier, vol. 95(C).
    26. Hendrik Schmitz & Reinhard Madlener, 2016. "Heterogeneity in Price Responsiveness for Residential Space Heating in Germany," SOEPpapers on Multidisciplinary Panel Data Research 877, DIW Berlin, The German Socio-Economic Panel (SOEP).
    27. Frondel, Manuel & Vance, Colin, 2013. "Re-Identifying the Rebound: What About Asymmetry?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 34(4), pages 42-54.
    28. Wadud, Zia & Dey, Himadri S. & Kabir, Md. Ashfanoor & Khan, Shahidul I., 2011. "Modeling and forecasting natural gas demand in Bangladesh," Energy Policy, Elsevier, vol. 39(11), pages 7372-7380.
    29. Keller, Rose & Vance, Colin, 2013. "Landscape pattern and car use: Linking household data with satellite imagery," Journal of Transport Geography, Elsevier, vol. 33(C), pages 250-257.
    30. Coyle, David & DeBacker, Jason & Prisinzano, Richard, 2012. "Estimating the supply and demand of gasoline using tax data," Energy Economics, Elsevier, vol. 34(1), pages 195-200.
    31. Kent M. Hymel & Kenneth Small, 2014. "The Rebound Effect for Automobile Travel:Asymmetric Response to Price Changes and Novel Features of the 2000s," Working Papers 141503, University of California-Irvine, Department of Economics.
    32. Silvia Tiezzi & Stefano F. Verde, 2019. "The signaling effect of gasoline taxes and its distributional implications," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(2), pages 145-169, June.
    33. Wadud, Zia, 2014. "New vehicle fuel economy in the UK: Impact of the recession and recent policies," Energy Policy, Elsevier, vol. 74(C), pages 215-223.
    34. Gillingham, Kenneth & Jenn, Alan & Azevedo, Inês M.L., 2015. "Heterogeneity in the response to gasoline prices: Evidence from Pennsylvania and implications for the rebound effect," Energy Economics, Elsevier, vol. 52(S1), pages 41-52.
    35. Madowitz, M. & Novan, K., 2013. "Gasoline taxes and revenue volatility: An application to California," Energy Policy, Elsevier, vol. 59(C), pages 663-673.
    36. Silvia Tiezzi & Stefano F. Verde, 2017. "The signaling effect of gasoline taxes and its distributional implications," RSCAS Working Papers 2017/06, European University Institute.
    37. Asif Reza Anik & Sanzidur Rahman, 2021. "Commercial Energy Demand Forecasting in Bangladesh," Energies, MDPI, vol. 14(19), pages 1-22, October.
    38. Frondel, Manuel & Martinez Flores, Fernanda & Vance, Colin, 2016. "Heterogeneous rebound effects: Comparing estimates from discrete-continuous models," Ruhr Economic Papers 601, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    39. Mattioli, Giulio & Wadud, Zia & Lucas, Karen, 2018. "Vulnerability to fuel price increases in the UK: A household level analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 227-242.
    40. Ritter, Nolan, 2012. "Beyond the Average Elasticity – Applying Quantile Panel Regression to German Household Mobility Data," Ruhr Economic Papers 392, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    41. Kiran B Krishnamurthy, Chandra & Kriström, Bengt, 2013. "A cross-country analysis of residential electricity demand in 11 OECD-countries," CERE Working Papers 2013:5, CERE - the Center for Environmental and Resource Economics, revised 30 Jun 2014.
    42. Gillingham, Kenneth, 2014. "Identifying the elasticity of driving: Evidence from a gasoline price shock in California," Regional Science and Urban Economics, Elsevier, vol. 47(C), pages 13-24.
    43. Michael Bates & Seolah Kim, 2019. "Estimating the Price Elasticity of Gasoline Demand in Correlated Random Coefficient Models with Endogeneity," Working Papers 202021, University of California at Riverside, Department of Economics, revised Jul 2020.
    44. Farr, Marina & Stoeckl, Natalie & Alam Beg, Rabiul, 2014. "The non-consumptive (tourism) ‘value’ of marine species in the Northern section of the Great Barrier Reef," Marine Policy, Elsevier, vol. 43(C), pages 89-103.
    45. Chen, Haotian & Smyth, Russell & Zhang, Xibin, 2017. "A Bayesian sampling approach to measuring the price responsiveness of gasoline demand using a constrained partially linear model," Energy Economics, Elsevier, vol. 67(C), pages 346-354.
    46. Hu, Wenhao & Ho, Mun S. & Cao, Jing, 2019. "Energy consumption of urban households in China," China Economic Review, Elsevier, vol. 58(C).
    47. Hössinger, Reinhard & Link, Christoph & Sonntag, Axel & Stark, Juliane, 2017. "Estimating the price elasticity of fuel demand with stated preferences derived from a situational approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 154-171.
    48. John Eakins, 2014. "An Application of the Double Hurdle Model to Petrol and Diesel Household Expenditures in Ireland," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 145, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
    49. Bastian, Anne & Börjesson, Maria, 2015. "Peak car? Drivers of the recent decline in Swedish car use," Transport Policy, Elsevier, vol. 42(C), pages 94-102.
    50. Shaw, Charles, 2020. "Econometric Analysis of Demand for Petrol in India, 1966-2019," MPRA Paper 104797, University Library of Munich, Germany.
    51. Abate, Megersa, 2014. "Does fuel price affect trucking industry’s network characteristics?: evidence from Denmark," Working papers in Transport Economics 2014:26, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    52. Crôtte, Amado & Noland, Robert B. & Graham, Daniel J., 2010. "An analysis of gasoline demand elasticities at the national and local levels in Mexico," Energy Policy, Elsevier, vol. 38(8), pages 4445-4456, August.
    53. Hymel, Kent M. & Small, Kenneth A., 2015. "The rebound effect for automobile travel: Asymmetric response to price changes and novel features of the 2000s," Energy Economics, Elsevier, vol. 49(C), pages 93-103.
    54. Ackah, Ishmael, 2015. "Accounting for the effect of exogenous non-Economic variables on natural gas demand in oil producing African countries," MPRA Paper 81553, University Library of Munich, Germany.
    55. Julian Dieler, 2016. "Effectiveness of Climate Policies: Empirical Methods and Evidence," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 68.
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    57. Taiebat, Morteza & Stolper, Samuel & Xu, Ming, 2019. "Forecasting the Impact of Connected and Automated Vehicles on Energy Use: A Microeconomic Study of Induced Travel and Energy Rebound," Applied Energy, Elsevier, vol. 247(C), pages 297-308.
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  27. Jiwattanakulpaisarn, Piyapong & Noland, Robert B. & Graham, Daniel J., 2010. "Causal linkages between highways and sector-level employment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(4), pages 265-280, May.

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    1. Mohammad Masoud Rahimi & Elham Naghizade & Mark Stevenson & Stephan Winter, 2023. "SentiHawkes: a sentiment-aware Hawkes point process to model service quality of public transport using Twitter data," Public Transport, Springer, vol. 15(2), pages 343-376, June.
    2. Gao, Deng & Li, Shicheng, 2022. "Spatiotemporal impact of railway network in the Qinghai-Tibet Plateau on accessibility and economic linkages during 1984–2030," Journal of Transport Geography, Elsevier, vol. 100(C).
    3. Tong, Tingting & Yu, Tun-Hsiang Edward & Cho, Seong-Hoon & Jensen, Kimberly & De La Torre Ugarte, Daniel, 2013. "Evaluating the spatial spillover effects of transportation infrastructure on agricultural output across the United States," Journal of Transport Geography, Elsevier, vol. 30(C), pages 47-55.
    4. Duygu Şahan & Okan Tuna, 2021. "Policy Implications on Transport Infrastructure–Trade Dynamics: Case of Turkey," Logistics, MDPI, vol. 5(3), pages 1-16, July.
    5. Arbués, Pelayo & Baños, José F. & Mayor, Matías, 2015. "The spatial productivity of transportation infrastructure," Transportation Research Part A: Policy and Practice, Elsevier, vol. 75(C), pages 166-177.
    6. Hirte, Georg & Stephan, Andreas, 2014. "Regionale Beschäftigungswirkungen von öffentlichen Investitionen in Straßen- und Schieneninfrastruktur," Discussion Papers 2/2014, Technische Universität Dresden, "Friedrich List" Faculty of Transport and Traffic Sciences, Institute of Transport and Economics.
    7. Chakrabarti, Sandip, 2018. "Can highway development promote employment growth in India?," Transport Policy, Elsevier, vol. 69(C), pages 1-9.
    8. Zhenhua Chen & Kingsley B. Haynes, 2014. "Regional Economic Output and Public Surface Transportation Infrastructure: A Spatial Granger Approach," The Review of Regional Studies, Southern Regional Science Association, vol. 44(3), pages 263-279, Winter.
    9. Agbelie, Bismark R.D.K., 2014. "An empirical analysis of three econometric frameworks for evaluating economic impacts of transportation infrastructure expenditures across countries," Transport Policy, Elsevier, vol. 35(C), pages 304-310.
    10. Di Cataldo, Marco & Rodríguez-Pose, Andrés, 2017. "What drives employment growth and social inclusion in the regions of the European Union?," LSE Research Online Documents on Economics 68509, London School of Economics and Political Science, LSE Library.
    11. Rodríguez-Pose, Andrés & Di Cataldo, Marco, 2016. "What drives employment growth and social inclusion in EU regions?," CEPR Discussion Papers 11551, C.E.P.R. Discussion Papers.
    12. Sciara, Gian-Claudia, 2012. "Financing congressional earmarks: Implications for transport policy and planning," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(8), pages 1328-1342.
    13. Park, Jin Suk & Seo, Young-Joon & Ha, Min-Ho, 2019. "The role of maritime, land, and air transportation in economic growth: Panel evidence from OECD and non-OECD countries," Research in Transportation Economics, Elsevier, vol. 78(C).
    14. Fageda, Xavier & Gonzalez-Aregall, Marta, 2017. "Do all transport modes impact on industrial employment? Empirical evidence from the Spanish regions," Transport Policy, Elsevier, vol. 55(C), pages 70-78.
    15. Michael Iacono & David Levinson, 2013. "Mutual Causality in Road Network Growth and Economic Development," Working Papers 000112, University of Minnesota: Nexus Research Group.
    16. Marinos, Theocharis & Belegri-Roboli, Athena & Michaelides, Panayotis G. & Konstantakis, Konstantinos Ν., 2022. "The spatial spillover effect of transport infrastructures in the Greek economy (2000–2013): A panel data analysis," Research in Transportation Economics, Elsevier, vol. 94(C).
    17. Michael Iacono & David Levinson, 2012. "Rural Highway Expansion and Economic Development: Impacts on Private Earnings and Employment," Working Papers 000101, University of Minnesota: Nexus Research Group.
    18. van den Heuvel, Frank P. & Rivera, Liliana & van Donselaar, Karel H. & de Jong, Ad & Sheffi, Yossi & de Langen, Peter W. & Fransoo, Jan C., 2014. "Relationship between freight accessibility and logistics employment in US counties," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 91-105.
    19. Anyu Chen & Yueran Li & Kunhui Ye & Tianyi Nie & Rui Liu, 2021. "Does Transport Infrastructure Inequality Matter for Economic Growth? Evidence from China," Land, MDPI, vol. 10(8), pages 1-21, August.
    20. Magazzino, Cosimo & Giolli, Lorenzo, 2021. "The relationship among railway networks, energy consumption, and real added value in Italy. Evidence form ARDL and Wavelet analysis," Research in Transportation Economics, Elsevier, vol. 90(C).
    21. Sanwei He & Shan Yu & Lei Wang, 2021. "The nexus of transport infrastructure and economic output in city-level China: a heterogeneous panel causality analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 66(1), pages 113-135, February.
    22. Li, Jianling & Whitaker, Elizabeth, 2018. "The impact of governmental highway investments on local economic outcome in the post-highway era," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 410-420.
    23. Yu, Nannan & de Roo, Gert & de Jong, Martin & Storm, Servaas, 2016. "Does the expansion of a motorway network lead to economic agglomeration? Evidence from China," Transport Policy, Elsevier, vol. 45(C), pages 218-227.
    24. Liaqat Ali & Salim Khan & Syed Jamal Shah & Aman Ullah & Hina Ashraf & Mushtaq Ahmad & Abida Begum & Heesup Han & Antonio Ariza-Montes & Luis Araya-Castillo & Afed Ullah Khan & Muhammad Anas & Abdul M, 2021. "Road and Transportation Lead to Better Health and Sustainable Destination Development in Host Community: A Case of China Pakistan Economic Corridor (CPEC)," IJERPH, MDPI, vol. 18(23), pages 1-16, December.
    25. Li, Hongbo & Liu, Yali & Peng, Kaili, 2018. "Characterizing the relationship between road infrastructure and local economy using structural equation modeling," Transport Policy, Elsevier, vol. 61(C), pages 17-25.

  28. Daniel J. Graham & Patricia S. Melo & Piyapong Jiwattanakulpaisarn & Robert B. Noland, 2010. "Testing For Causality Between Productivity And Agglomeration Economies," Journal of Regional Science, Wiley Blackwell, vol. 50(5), pages 935-951, December.

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    1. Alberto Díaz Dapena & Esteban Fernández Vázquez & Fernando Rubiera Morollón, 2015. "Estimating agglomeration economies in Spain: evidence from geographically disaggregated data," ERSA conference papers ersa15p285, European Regional Science Association.
    2. Samuel Bazzi & Amalavoyal V. Chari & Shanthi Nataraj & Alexander D. Rothenberg, 2017. "Identifying Productivity Spillovers Using the Structure of Production Networks," Working Papers WR-1182, RAND Corporation.
    3. David Martín-Barroso & Juan A. Núñez-Serrano & Francisco J. Velázquez, 2015. "The Effect Of Accessibility On Productivity In Spanish Manufacturing Firms," Journal of Regional Science, Wiley Blackwell, vol. 55(5), pages 708-735, November.
    4. Stefan P.T. Groot & Henri L.F. Groot & Martijn J. Smit, 2014. "Regional Wage Differences In The Netherlands: Micro Evidence On Agglomeration Externalities," Journal of Regional Science, Wiley Blackwell, vol. 54(3), pages 503-523, June.
    5. Isacsson, Gunnar & Börjesson, Maria & Andersson, Matts & Anderstig, Christer, 2016. "The impact of accessibility on labor earnings," Working papers in Transport Economics 2015:18, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    6. Akihiro Otsuka, 2017. "Regional determinants of total factor productivity in Japan: stochastic frontier analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 58(3), pages 579-596, May.
    7. Rosalia Castellano & Gaetano Musella & Gennaro Punzo, 2023. "Does context matter? Exploring the effects of productive structures on the relationship between innovation and workforce skills’ complementarity," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(3), pages 1991-2011, June.
    8. Ahfeldt, Gabriel M. & Pietrostefani, Elisabetta, 2017. "The compact city in empirical research: A quantitative literature review," LSE Research Online Documents on Economics 83638, London School of Economics and Political Science, LSE Library.
    9. Barufi, Ana Maria & Haddad, Eduardo & Nijkamp, Peter, 2015. "Industrial Scope of Agglomeration Economies in Brazil," TD NEREUS 5-2015, Núcleo de Economia Regional e Urbana da Universidade de São Paulo (NEREUS).
    10. Huynh, Linh & Hoang, Hien & Tran, Hung, 2020. "Does FDI enhance provincial productivity? A panel data analysis in Vietnam," MPRA Paper 117620, University Library of Munich, Germany, revised Aug 2021.
    11. Francisco Javier ESCRIBA & María José MURGUI, 2014. "Time Varying Agglomeration Effects on Total Factor Productivity in Spanish Regions (1995-2008)," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 14(2).
    12. Combes, Pierre-Philippe & Gobillon, Laurent, 2014. "The empirics of agglomeration economies," CEPR Discussion Papers 10174, C.E.P.R. Discussion Papers.
    13. Rodríguez-Pose, Andrés & Ganau, Roberto, 2017. "Industrial Clusters, Organized Crime and Productivity Growth in Italian SMEs," CEPR Discussion Papers 12140, C.E.P.R. Discussion Papers.
    14. Graham, Daniel J. & Gibbons, Stephen, 2019. "Quantifying Wider Economic Impacts of agglomeration for transport appraisal: Existing evidence and future directions," Economics of Transportation, Elsevier, vol. 19(C), pages 1-1.
    15. Marion Drut & Aurélie Mahieu, 2015. "Correcting agglomeration economies: How air pollution matters," ERSA conference papers ersa15p507, European Regional Science Association.
    16. Martijn J. Smit, 2017. "Cross-border agglomeration benefits," Letters in Spatial and Resource Sciences, Springer, vol. 10(3), pages 375-383, October.
    17. Jordi Jofre-Monseny & Raquel Marín-López & Elisabet Viladecans-Marsal, 2012. "What underlies localization and urbanization economies? Evidence from the location of new firms," Working Papers XREAP2012-08, Xarxa de Referència en Economia Aplicada (XREAP), revised May 2012.
    18. Jordi Jofre-Monseny & Raquel Marín-López & Elisabet Viladecans-Marsal, 2014. "The Determinants Of Localization And Urbanization Economies: Evidence From The Location Of New Firms In Spain," Journal of Regional Science, Wiley Blackwell, vol. 54(2), pages 313-337, March.
    19. Berliant, Marcus & Yu, Chia-Ming, 2009. "Locational signaling and agglomeration," MPRA Paper 19462, University Library of Munich, Germany.
    20. Cainelli, Giulio & Ganau, Roberto & Giunta, Anna, 2018. "Spatial agglomeration, Global Value Chains, and productivity. Micro-evidence from Italy and Spain," Economics Letters, Elsevier, vol. 169(C), pages 43-46.
    21. Gabriel M. Ahlfeldt & Elisabetta Pietrostefani, 2017. "The Economic Effects of Density: A Synthesis," SERC Discussion Papers 0210, Centre for Economic Performance, LSE.
    22. Marion Drut & Aurélie Mahieux, 2014. "Correcting agglomeration economies: How air pollution matters," Working Papers hal-01007019, HAL.
    23. Kenichi Kashiwagi & Erina Iwasaki, 2024. "Industrial linkage, vertical integration and firm performance: evidence from textile and garment industry in Egypt," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(1), pages 803-828, February.
    24. Sugam Agarwal & Smruti Ranjan Behera, 2022. "Geographical concentration of knowledge and technology-intensive industries in India: empirical evidence from establishment-level analysis," Indian Economic Review, Springer, vol. 57(2), pages 513-552, December.
    25. Jaume Masip Tresserra, 2013. "Sub-centres and Urban Inequality: A study on Social Equity in the Barcelona Metropolitan Region," ERSA conference papers ersa13p64, European Regional Science Association.
    26. Diana Silva & Carlos Azzoni, 2022. "Worker and firm heterogeneity, agglomeration, and wages in Brazil," Papers in Regional Science, Wiley Blackwell, vol. 101(1), pages 107-133, February.
    27. Mullen, Caroline & Marsden, Greg, 2015. "Transport, economic competitiveness and competition: A city perspective," Journal of Transport Geography, Elsevier, vol. 49(C), pages 1-8.
    28. Stefan P.T. Groot & Henri L.F. de Groot, 2014. "Estimating the Skill Bias in Agglomeration Externalities and Social Returns to Education: Evidence from Dutch Matched Worker-Firm Micro-data," Tinbergen Institute Discussion Papers 14-088/VIII, Tinbergen Institute.
    29. Peter Mackie & Daniel Graham & James Laird, 2011. "The Direct and Wider Impacts of Transport Projects: A Review," Chapters, in: André de Palma & Robin Lindsey & Emile Quinet & Roger Vickerman (ed.), A Handbook of Transport Economics, chapter 21, Edward Elgar Publishing.
    30. Giulio Cainelli & Roberto Ganau & Donato Iacobucci, 2016. "Do Geographic Concentration and Vertically Related Variety Foster Firm Productivity? Micro-Evidence from Italy," Growth and Change, Wiley Blackwell, vol. 47(2), pages 197-217, June.
    31. Börjesson, Maria & Isacsson, Gunnar & Andersson, Matts & Anderstig, Christer, 2018. "Agglomeration, productivity and the role of transport system improvements," Working papers in Transport Economics 2018:16, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    32. Paolo VENERI & David BURGALASSI, 2011. "Spatial Structure and Productivity in Italian NUTS-3 Regions," Working Papers 364, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    33. Gabriel M. Ahfeldt & Elisabetta Pietrostefani, 2017. "The Compact City in Empirical Research: A Quantitative Literature Review," SERC Discussion Papers 0215, Centre for Economic Performance, LSE.
    34. David Martín-Barroso & Juan A. Núñez & Francisco J. Velázquez, 2013. "The Effect On Firms' Productivity Of Accessibility. The Spanish Manufacturing Sector," ERSA conference papers ersa13p1123, European Regional Science Association.
    35. Daniel J. Graham & Kurt van Dender, 2009. "Estimating the Agglomeration Benefits of Transport Investments: Some Tests for Stability," OECD/ITF Joint Transport Research Centre Discussion Papers 2009/32, OECD Publishing.
    36. Xuto, Praj & Bansal, Prateek & Anderson, Richard J. & Graham, Daniel J. & Hörcher, Daniel & Barron, Alexander, 2023. "Examining the impacts of capital investment in London’s Underground: A long-term analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    37. Bowen Sun & Haomin Li & Qiuyun Zhao, 2018. "Logistics agglomeration and logistics productivity in the USA," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 61(2), pages 273-293, September.
    38. Eliasson, Jonas & Fosgerau, Mogens, 2017. "Cost-benefit analysis of transport improvements in the presence of spillovers, matching and an income tax," MPRA Paper 76526, University Library of Munich, Germany.
    39. Martin Gornig & Alexander Schiersch, 2019. "Agglomeration Economies and the Firm TFP: Different Effects across Industries," Discussion Papers of DIW Berlin 1788, DIW Berlin, German Institute for Economic Research.
    40. Jordy Meekes, 2022. "Agglomeration Economies and the Urban Wage Premium in Australia," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 25(1), pages 25-54.
    41. Binlei Gong & Robin C. Sickles, 2020. "Non-structural and structural models in productivity analysis: study of the British Isles during the 2007–2009 financial crisis," Journal of Productivity Analysis, Springer, vol. 53(2), pages 243-263, April.
    42. Patricia C. Melo & Daniel J. Graham, 2014. "Testing for labour pooling as a source of agglomeration economies: Evidence for labour markets in England and Wales," Papers in Regional Science, Wiley Blackwell, vol. 93(1), pages 31-52, March.
    43. Md. Anwar Hossain & Crispin H. V. Cooper, 2021. "Spatial network analysis as a tool for measuring change in accessibility over time: Limits of transport investment as a driver for UK regional development," Growth and Change, Wiley Blackwell, vol. 52(4), pages 2124-2148, December.
    44. Ridhwan, Masagus M., 2021. "Spatial wage differentials and agglomeration externalities: Evidence from Indonesian microdata," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 573-591.
    45. Ivaldi, Marc & Quinet, Emile & Ruiz Mejia, Celia, 2022. "Agglomeration Transport and Productivity: Evidence from Toulouse Metropolitan Area," TSE Working Papers 22-1385, Toulouse School of Economics (TSE).
    46. Theresa Chaudhry & Muhammad Haseeb & Maryiam Haroon, 2017. "Economic geography and misallocation in Pakistan’s manufacturing hub," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 59(1), pages 189-208, July.
    47. Hammed Amusa & Njeri Wabiri & David Fadiran, 2019. "Agglomeration and productivity in South Africa: Evidence from firm-level data," WIDER Working Paper Series wp-2019-93, World Institute for Development Economic Research (UNU-WIDER).
    48. Tania Paola Torres-Gutiérrez & Ronny Correa-Quezada & María de la Cruz del Río-Rama & José Álvarez-García, 2020. "Location Decisions of New Manufacturing Firms in Ecuador. Agglomeration Mechanisms," Mathematics, MDPI, vol. 8(8), pages 1-24, August.

  29. Karathodorou, Niovi & Graham, Daniel J. & Noland, Robert B., 2010. "Estimating the effect of urban density on fuel demand," Energy Economics, Elsevier, vol. 32(1), pages 86-92, January.

    Cited by:

    1. Liddle, Brantley, 2013. "Urban density and climate change: a STIRPAT analysis using city-level data," Journal of Transport Geography, Elsevier, vol. 28(C), pages 22-29.
    2. Akihiro Otsuka, 2018. "Population Agglomeration and Residential Energy Consumption: Evidence from Japan," Sustainability, MDPI, vol. 10(2), pages 1-12, February.
    3. Borge-Diez, David & Colmenar-Santos, Antonio & Pérez-Molina, Clara & López-Rey, África, 2015. "Geothermal source heat pumps under energy services companies finance scheme to increase energy efficiency and production in stockbreeding facilities," Energy, Elsevier, vol. 88(C), pages 821-836.
    4. Akihiro Otsuka & Mika Goto & Toshiyuki Sueyoshi, 2014. "Energy efficiency and agglomeration economies: the case of Japanese manufacturing industries," Regional Science Policy & Practice, Wiley Blackwell, vol. 6(2), pages 195-212, June.
    5. Keirstead, James & Jennings, Mark & Sivakumar, Aruna, 2012. "A review of urban energy system models: Approaches, challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 3847-3866.
    6. Bosetti, Valentina & Longden, Thomas, 2013. "Light duty vehicle transportation and global climate policy: The importance of electric drive vehicles," Energy Policy, Elsevier, vol. 58(C), pages 209-219.
    7. Chai, Jian & Yang, Ying & Wang, Shouyang & Lai, Kin Keung, 2016. "Fuel efficiency and emission in China's road transport sector: Induced effect and rebound effect," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 188-197.
    8. Boukarta Soufiane & Berezowska-Azzag Ewa, 2020. "Exploring the Role of Socio-Economic and Built Environment Driving Factors in Shaping the Commuting Modal Share: A Path-Analysis-Based Approach," Quaestiones Geographicae, Sciendo, vol. 39(4), pages 87-107, December.
    9. Akihiro Otsuka & Mika Goto, 2015. "Estimation and determinants of energy efficiency in Japanese regional economies," Regional Science Policy & Practice, Wiley Blackwell, vol. 7(2), pages 89-101, June.
    10. Dayong Wu & Changwei Yuan & Hongchao Liu, 2018. "The decoupling states of CO2 emissions in the Chinese transport sector from 1994 to 2012: A perspective on fuel types," Energy & Environment, , vol. 29(4), pages 591-612, June.
    11. Yoo, Sunbin & Yoshida, Yoshikuni, 2019. "Consumer preferences and financial incentives in the Japanese automobile industry," Transport Policy, Elsevier, vol. 81(C), pages 220-229.
    12. Becker, Maike & Pfeifer, Gregor & Schweikert, Karsten, 2021. "Price Effects of the Austrian Fuel Price Fixing Act: A Synthetic Control Study," Energy Economics, Elsevier, vol. 97(C).
    13. Stephan, André & Stephan, Laurent, 2016. "Life cycle energy and cost analysis of embodied, operational and user-transport energy reduction measures for residential buildings," Applied Energy, Elsevier, vol. 161(C), pages 445-464.
    14. Du, Limin & Hanley, Aoife & Wei, Chu, 2015. "Estimating the marginal abatement cost curve of CO2 emissions in China: Provincial panel data analysis," Kiel Working Papers 1985, Kiel Institute for the World Economy (IfW Kiel).
    15. Sławomir Dorocki & Dorota Wantuch-Matla, 2021. "Power Two-Wheelers as an Element of Sustainable Urban Mobility in Europe," Land, MDPI, vol. 10(6), pages 1-25, June.
    16. Ahmad, Sohail & Puppim de Oliveira, Jose A., 2016. "Determinants of urban mobility in India: Lessons for promoting sustainable and inclusive urban transportation in developing countries," Transport Policy, Elsevier, vol. 50(C), pages 106-114.
    17. Mishalani, Rabi G. & Goel, Prem K. & Landgraf, Andrew J. & Westra, Ashley M. & Zhou, Dunke, 2014. "Passenger travel CO2 emissions in US urbanized areas: Multi-sourced data, impacts of influencing factors, and policy implications," Transport Policy, Elsevier, vol. 36(C), pages 231-241.
    18. Liddle, Brantley, 2013. "Urban Transport Pollution: Revisiting the Environmental Kuznets Curve," MPRA Paper 53632, University Library of Munich, Germany.
    19. Morikawa, Masayuki, 2012. "Population density and efficiency in energy consumption: An empirical analysis of service establishments," Energy Economics, Elsevier, vol. 34(5), pages 1617-1622.
    20. Poruschi, Lavinia & Ambrey, Christopher L., 2018. "Densification, what does it mean for fuel poverty and energy justice? An empirical analysis," Energy Policy, Elsevier, vol. 117(C), pages 208-217.
    21. Rainald Borck & Philipp Schrauth, 2019. "Population density and urban air quality," CEPA Discussion Papers 08, Center for Economic Policy Analysis.
    22. Qing Su, 2017. "Travel Demand Management Policy Instruments, Urban Spatial Characteristics, and Household Greenhouse Gas Emissions from Travel in the US Urban Areas," International Journal of Energy Economics and Policy, Econjournals, vol. 7(3), pages 157-166.
    23. Fullerton, Thomas M., Jr. & Munoz Sapien, Gabriel & Barraza de Anda, Martha P. & Dominguez Ruvalcaba, Lisbeily, 2011. "Dinámica del Consumo de Gasolina en Ciudad Juárez, Chihuahua [Gasoline Consumption Dynamics in Ciudad Juárez, Chihuahua]," MPRA Paper 46853, University Library of Munich, Germany, revised 15 Jun 2012.
    24. Sascha von Behren & Maximilian Turek & Lukas Barthelmes & Hanna Scholta & Frank Hansen & Martin Kagerbauer & Christine Eisenmann, 2023. "Decoding Urban Archetypes: Exploring Mobility-Related Homogeneity among Cities," Sustainability, MDPI, vol. 15(19), pages 1-23, September.
    25. Amr Ah. Gouda & Houshmand E. Masoumi, 2018. "Compactness, connectivity, and walking accessibility on the neighborhood level according to sustainability certifications: improvement or downgrade? A case study of Cairo, Egypt," Journal of Geographical Systems, Springer, vol. 20(4), pages 413-449, October.
    26. Long Zhou & Guoqiang Shen & Yao Wu & Robert Brown & Tian Chen & Chenyu Wang, 2018. "Urban Form, Growth, and Accessibility in Space and Time: Anatomy of Land Use at the Parcel-Level in a Small to Medium-Sized American City," Sustainability, MDPI, vol. 10(12), pages 1-24, December.
    27. Jun Li, 2011. "Decoupling urban transport from GHG emissions in Indian cities--A critical review and perspectives," Post-Print hal-00596587, HAL.
    28. Teoh, Roger & Anciaes, Paulo & Jones, Peter, 2020. "Urban mobility transitions through GDP growth: Policy choices facing cities in developing countries," Journal of Transport Geography, Elsevier, vol. 88(C).
    29. Akihiro Otsuka & Mika Goto, 2018. "Regional determinants of energy intensity in Japan: the impact of population density," Asia-Pacific Journal of Regional Science, Springer, vol. 2(2), pages 257-278, August.
    30. Shoki Kosai & Muku Yuasa & Eiji Yamasue, 2020. "Chronological Transition of Relationship between Intracity Lifecycle Transport Energy Efficiency and Population Density," Energies, MDPI, vol. 13(8), pages 1-15, April.
    31. Subhashree Mohapatra & Dileep Mohanachandran & Gaurav Dwivedi & Sujeet Kesharvani & V. S. K. V. Harish & Shrey Verma & Puneet Verma, 2023. "A Comprehensive Study on the Sustainable Transportation System in India and Lessons to Be Learned from Other Developing Nations," Energies, MDPI, vol. 16(4), pages 1-21, February.
    32. Keita Honjo & Masahiko Fujii, 2014. "Impacts of demographic, meteorological, and economic changes on household CO 2 emissions in the 47 prefectures of Japan," Regional Science Policy & Practice, Wiley Blackwell, vol. 6(1), pages 13-30, March.
    33. He, Weijun & Wang, Bo & Danish, & Wang, Zhaohua, 2018. "Will regional economic integration influence carbon dioxide marginal abatement costs? Evidence from Chinese panel data," Energy Economics, Elsevier, vol. 74(C), pages 263-274.
    34. Proque, Andressa Lemes & dos Santos, Gervásio Ferreira & Betarelli Junior, Admir Antonio & Larson, William D., 2020. "Effects of land use and transportation policies on the spatial distribution of urban energy consumption in Brazil," Energy Economics, Elsevier, vol. 90(C).
    35. Fabio Grazi & Henri Waisman, 2015. "Agglomeration, Urban Growth and Infrastructure in Global Climate Policy: A Dynamic CGE Approach," Working Papers 2015.61, Fondazione Eni Enrico Mattei.
    36. Liddle, Brantley & Lung, Sidney, 2013. "Might electricity consumption cause urbanization instead? Evidence from heterogeneous panel long-run causality tests," MPRA Paper 52333, University Library of Munich, Germany.
    37. Alexandr Gushchin & Fedor Gushchin & Sergei Sanok, 2015. "Analysis of the Urban Fabric Using Land Use and Development Rules," Modern Applied Science, Canadian Center of Science and Education, vol. 9(5), pages 1-50, May.
    38. Yang Song & Kevin R. Gurney, 2020. "The Relationship between On-Road FFCO 2 Emissions and Socio-Economic/Urban Form Factors for Global Cities: Significance, Robustness and Implications," Sustainability, MDPI, vol. 12(15), pages 1-24, July.
    39. Choi, Kwangyul & Zhang, Ming, 2017. "The impact of metropolitan, county, and local land use on driving emissions in US metropolitan areas: Mediator effects of vehicle travel characteristics," Journal of Transport Geography, Elsevier, vol. 64(C), pages 195-202.
    40. Akihiro Otsuka, 2020. "How do population agglomeration and interregional networks improve energy efficiency?," Asia-Pacific Journal of Regional Science, Springer, vol. 4(1), pages 1-25, February.
    41. Sudarmanto Budi Nugroho & Eric Zusman, 2015. "Estimating greenhouse gas (GHG) emissions from paratransit in Bandung, Indonesia: Reducing the transaction costs of generating conservative emissions baselines," Natural Resources Forum, Blackwell Publishing, vol. 39(1), pages 53-63, February.
    42. Elhorst, J. Paul & Madre, Jean-Loup & Pirotte, Alain, 2020. "Car traffic, habit persistence, cross-sectional dependence, and spatial heterogeneity: New insights using French departmental data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 614-632.
    43. Su, Qing, 2011. "The effect of population density, road network density, and congestion on household gasoline consumption in U.S. urban areas," Energy Economics, Elsevier, vol. 33(3), pages 445-452, May.
    44. Leibowicz, Benjamin D., 2020. "Urban land use and transportation planning for climate change mitigation: A theoretical framework," European Journal of Operational Research, Elsevier, vol. 284(2), pages 604-616.
    45. Boukarta Soufiane & Berezowska-Azzag Ewa, 2022. "The Influence of Built Environment and Socio-Economic Factors on Commuting Energy Demand: A Path Analysis-Based Approach," Quaestiones Geographicae, Sciendo, vol. 41(4), pages 19-39, December.
    46. Akihiro Otsuka, 2018. "Regional Determinants of Energy Efficiency: Residential Energy Demand in Japan," Energies, MDPI, vol. 11(6), pages 1-14, June.
    47. Yu Sang Chang & Sung Jun Jo & Yoo-Taek Lee & Yoonji Lee, 2021. "Population Density or Populations Size. Which Factor Determines Urban Traffic Congestion?," Sustainability, MDPI, vol. 13(8), pages 1-21, April.
    48. Felix Creutzig & Rainer Mühlhoff & Julia Römer, 2012. "One Planet Mobility - Transforming Cities towards Low-Carbon Mobility," Working Papers 1, Department of Climate Change Economics, TU Berlin, revised Feb 2012.
    49. Law, Teik Hua & Hamid, Hussain & Goh, Chia Ning, 2015. "The motorcycle to passenger car ownership ratio and economic growth: A cross-country analysis," Journal of Transport Geography, Elsevier, vol. 46(C), pages 122-128.
    50. Chang, Yu Sang & Lee, Yong Joo & Choi, Sung Sup Brian, 2017. "Is there more traffic congestion in larger cities? -Scaling analysis of the 101 largest U.S. urban centers-," Transport Policy, Elsevier, vol. 59(C), pages 54-63.

  30. Wadud, Zia & Noland, Robert B. & Graham, Daniel J., 2010. "A semiparametric model of household gasoline demand," Energy Economics, Elsevier, vol. 32(1), pages 93-101, January.

    Cited by:

    1. Spiller, Elisheba & Stephens, Heather M. & Chen, Yong, 2017. "Understanding the heterogeneous effects of gasoline taxes across income and location," Resource and Energy Economics, Elsevier, vol. 50(C), pages 74-90.
    2. Mohammad Vesal & Amir Hossein Tavakoli & Mohammad H. Rahmati, 2022. "What do one hundred million transactions tell us about demand elasticity of gasoline?," Empirical Economics, Springer, vol. 62(6), pages 2693-2711, June.
    3. Jeyhun I. Mikayilov & Shahriyar Mukhtarov & Hasan Dinçer & Serhat Yüksel & Rıdvan Aydın, 2020. "Elasticity Analysis of Fossil Energy Sources for Sustainable Economies: A Case of Gasoline Consumption in Turkey," Energies, MDPI, vol. 13(3), pages 1-15, February.
    4. Liu, Weiwei, 2015. "Gasoline taxes or efficiency standards? A heterogeneous household demand analysis," Energy Policy, Elsevier, vol. 80(C), pages 54-64.
    5. Liu, Weiwei, 2014. "Modeling gasoline demand in the United States: A flexible semiparametric approach," Energy Economics, Elsevier, vol. 45(C), pages 244-253.
    6. Tilov, Ivan & Weber, Sylvain, 2023. "Heterogeneity in price elasticity of vehicle kilometers traveled: Evidence from micro-level panel data," Energy Economics, Elsevier, vol. 127(PA).
    7. Aurélien Saussay, 2019. "Dynamic heterogeneity: rational habits and the heterogeneity of household responses to gasoline prices," Post-Print hal-03632598, HAL.
    8. Haotian Chen & Xibin Zhang, 2014. "Bayesian Estimation for Partially Linear Models with an Application to Household Gasoline Consumption," Monash Econometrics and Business Statistics Working Papers 28/14, Monash University, Department of Econometrics and Business Statistics.
    9. Silvia Tiezzi & Stefano F. Verde, 2019. "The signaling effect of gasoline taxes and its distributional implications," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(2), pages 145-169, June.
    10. Wadud, Zia, 2014. "New vehicle fuel economy in the UK: Impact of the recession and recent policies," Energy Policy, Elsevier, vol. 74(C), pages 215-223.
    11. Salisu, Afees A. & Ayinde, Taofeek O., 2016. "Modeling energy demand: Some emerging issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1470-1480.
    12. Gillingham, Kenneth & Jenn, Alan & Azevedo, Inês M.L., 2015. "Heterogeneity in the response to gasoline prices: Evidence from Pennsylvania and implications for the rebound effect," Energy Economics, Elsevier, vol. 52(S1), pages 41-52.
    13. Silvia Tiezzi & Stefano F. Verde, 2017. "The signaling effect of gasoline taxes and its distributional implications," RSCAS Working Papers 2017/06, European University Institute.
    14. Leonid Galchynskyi, 2020. "Estimation of the price elasticity of petroleum products’ consumption in Ukraine," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 15(2), pages 315-339, June.
    15. Mattioli, Giulio & Wadud, Zia & Lucas, Karen, 2018. "Vulnerability to fuel price increases in the UK: A household level analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 227-242.
    16. Motavasseli, Ali, 2016. "Essays in environmental policy and household economics," Other publications TiSEM b32e287e-169b-4e89-9878-1, Tilburg University, School of Economics and Management.
    17. Gupta, Eshita, 2012. "Global warming and electricity demand in the rapidly growing city of Delhi: A semi-parametric variable coefficient approach," Energy Economics, Elsevier, vol. 34(5), pages 1407-1421.
    18. Fedoseeva, Svetlana & Zeidan, Rodrigo, 2018. "How (a)symmetric is the response of import demand to changes in its determinants? Evidence from European energy imports," Energy Economics, Elsevier, vol. 69(C), pages 379-394.
    19. Harwatt, Helen & Tight, Miles & Bristow, Abigail L. & Gühnemann, Astrid, 2011. "Personal carbon trading and fuel price increases in the transport sector: an exploratory study of public response in the UK," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 47, pages 47-70.
    20. Chen, Haotian & Smyth, Russell & Zhang, Xibin, 2017. "A Bayesian sampling approach to measuring the price responsiveness of gasoline demand using a constrained partially linear model," Energy Economics, Elsevier, vol. 67(C), pages 346-354.
    21. Hössinger, Reinhard & Link, Christoph & Sonntag, Axel & Stark, Juliane, 2017. "Estimating the price elasticity of fuel demand with stated preferences derived from a situational approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 154-171.
    22. Philippe Barla & Markus Herrmann & Carlos Ordas-Criado & Luis F. Miranda-Moreno, 2015. "Are Gasoline Demand Elasticities Different across Cities?," Cahiers de recherche CREATE 2015-4, CREATE.
    23. Wadud, Zia & Royston, Sarah & Selby, Jan, 2019. "Modelling energy demand from higher education institutions: A case study of the UK," Applied Energy, Elsevier, vol. 233, pages 816-826.
    24. Shaw, Charles, 2020. "Econometric Analysis of Demand for Petrol in India, 1966-2019," MPRA Paper 104797, University Library of Munich, Germany.
    25. Adewuyi, Adeolu O., 2016. "Determinants of import demand for non-renewable energy (petroleum) products: Empirical evidence from Nigeria," Energy Policy, Elsevier, vol. 95(C), pages 73-93.
    26. Elhorst, J. Paul & Madre, Jean-Loup & Pirotte, Alain, 2020. "Car traffic, habit persistence, cross-sectional dependence, and spatial heterogeneity: New insights using French departmental data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 614-632.
    27. Curtis, John & Tovar, Miguel Angel & Grilli, Gianluca, 2020. "Access to and consumption of natural gas: Spatial and socio-demographic drivers," Energy Policy, Elsevier, vol. 143(C).
    28. Su, Qing, 2011. "The effect of population density, road network density, and congestion on household gasoline consumption in U.S. urban areas," Energy Economics, Elsevier, vol. 33(3), pages 445-452, May.
    29. Tilov, Ivan & Farsi, Mehdi & Volland, Benjamin, 2020. "From frugal Jane to wasteful John: A quantile regression analysis of Swiss households’ electricity demand," Energy Policy, Elsevier, vol. 138(C).
    30. Pablo del Río & Desiderio Romero & Marta Jorge & Mercedes Burguillo, 2012. "Territorial differences for transport fuel demand in Spain: an econometric study," Chapters, in: Larry Kreiser & Ana Yábar Sterling & Pedro Herrera & Janet E. Milne & Hope Ashiabor (ed.), Green Taxation and Environmental Sustainability, chapter 4, pages 56-68, Edward Elgar Publishing.

  31. Zia Wadud & Daniel Graham & Robert Noland, 2009. "A cointegration analysis of gasoline demand in the United States," Applied Economics, Taylor & Francis Journals, vol. 41(26), pages 3327-3336.

    Cited by:

    1. Lin, C.-Y. Cynthia & Prince, Lea, 2013. "Gasoline price volatility and the elasticity of demand for gasoline," Energy Economics, Elsevier, vol. 38(C), pages 111-117.
    2. Bakhat, Mohcine & Labandeira, Xavier & Labeaga, José M. & López-Otero, Xiral, 2017. "Elasticities of transport fuels at times of economic crisis: An empirical analysis for Spain," Energy Economics, Elsevier, vol. 68(S1), pages 66-80.
    3. Park, Sung Y. & Zhao, Guochang, 2010. "An estimation of U.S. gasoline demand: A smooth time-varying cointegration approach," Energy Economics, Elsevier, vol. 32(1), pages 110-120, January.
    4. Hasanov, Mübariz, 2015. "The demand for transport fuels in Turkey," Energy Economics, Elsevier, vol. 51(C), pages 125-134.
    5. Mohamad Taghvaee, Vahid & Hajiani, Parviz, 2014. "Price and Income Elasticities of Gasoline Demand in Iran: Using Static, ECM, and Dynamic Models in Short, Intermediate, and Long Run," MPRA Paper 70054, University Library of Munich, Germany.
    6. Wadud, Zia, 2016. "Diesel demand in the road freight sector in the UK: Estimates for different vehicle types," Applied Energy, Elsevier, vol. 165(C), pages 849-857.
    7. Scott, K. Rebecca, 2011. "Demand and Price Volatility: Rational Habits in International Gasoline Demand," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt2q87432b, Department of Agricultural & Resource Economics, UC Berkeley.
    8. Daldoul Manel & Dakhlaoui Ahlem, 2021. "The Direct Rebound Effect and Energy Efficiency Policy: An Econometric Estimation in the case of Tunisian Transport Sector," International Journal of Energy Economics and Policy, Econjournals, vol. 11(5), pages 235-243.
    9. Havranek, Tomas & Irsova, Zuzana & Janda, Karel, 2011. "Demand for gasoline is more price-inelastic than commonly thought," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt0m94j50t, Department of Agricultural & Resource Economics, UC Berkeley.
    10. Scott, K. Rebecca, 2013. "Demand and Price Uncertainty: Rational Habits in International Gasoline Demand," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt25q4w08n, Department of Agricultural & Resource Economics, UC Berkeley.
    11. Leng Wong, Siang & Chia, Wai-Mun & Chang, Youngho, 2013. "Energy consumption and energy R&D in OECD: Perspectives from oil prices and economic growth," Energy Policy, Elsevier, vol. 62(C), pages 1581-1590.
    12. Odeck, James & Johansen, Kjell, 2016. "Elasticities of fuel and traffic demand and the direct rebound effects: An econometric estimation in the case of Norway," Transportation Research Part A: Policy and Practice, Elsevier, vol. 83(C), pages 1-13.
    13. Afkhami, Mohamad & Ghoddusi, Hamed & Rafizadeh, Nima, 2021. "Google Search Explains Your Gasoline Consumption!," Energy Economics, Elsevier, vol. 99(C).

  32. Piyapong Jiwattanakulpaisarn & Robert B. Noland & Daniel J. Graham & John W. Polak, 2009. "Highway Infrastructure Investment And County Employment Growth: A Dynamic Panel Regression Analysis," Journal of Regional Science, Wiley Blackwell, vol. 49(2), pages 263-286, May.

    Cited by:

    1. Joanna Ganning, 2023. "Quantifying the impacts of suburbanization without growth on central city housing vacancy," Growth and Change, Wiley Blackwell, vol. 54(4), pages 1002-1018, December.
    2. Chakrabarti, Sandip, 2018. "Can highway development promote employment growth in India?," Transport Policy, Elsevier, vol. 69(C), pages 1-9.
    3. Bottasso, Anna & Conti, Maurizio & Ferrari, Claudio & Merk, Olaf & Tei, Alessio, 2013. "The impact of port throughput on local employment: Evidence from a panel of European regions," Transport Policy, Elsevier, vol. 27(C), pages 32-38.
    4. Miquel-Àngel Garcia-López & Camille Hémet & Elisabet Viladecans-Marsal, 2017. "How does transportation shape intrametropolitan growth? An answer from the Regional Express Rail," Journal of Regional Science, Wiley Blackwell, vol. 57(5), pages 758-780, November.
    5. Xiao Ke & Yuanke Yan, 2021. "Can proactive fiscal policy achieve the goal of “Beyond Keynesianism”?," Review of Development Economics, Wiley Blackwell, vol. 25(2), pages 1078-1103, May.
    6. Fageda, Xavier & Gonzalez-Aregall, Marta, 2017. "Do all transport modes impact on industrial employment? Empirical evidence from the Spanish regions," Transport Policy, Elsevier, vol. 55(C), pages 70-78.
    7. Garcia-López, Miquel-Ángel & Holl, Adelheid & Viladecans-Marsal, Elisabet, 2015. "Suburbanization and highways in Spain when the Romans and the Bourbons still shape its cities," Journal of Urban Economics, Elsevier, vol. 85(C), pages 52-67.
    8. Ng, Choy Peng & Law, Teik Hua & Wong, Shaw Voon & Kulanthayan, S., 2017. "Relative improvements in road mobility as compared to improvements in road accessibility and economic growth: A cross-country analysis," Transport Policy, Elsevier, vol. 60(C), pages 24-33.
    9. Yanwei Zhang & Hualin Xie, 2019. "Interactive Relationship among Urban Expansion, Economic Development, and Population Growth since the Reform and Opening up in China: An Analysis Based on a Vector Error Correction Model," Land, MDPI, vol. 8(10), pages 1-31, October.
    10. Jihye Choi & Iltae Kim, 2017. "Regional total factor productivity and local employment growth: evidence from Korea," Asia-Pacific Journal of Regional Science, Springer, vol. 1(2), pages 511-518, October.
    11. Daniel Albalate & Jordi Rosell, 2016. "Persistent and transient efficiency on the stochastic production and cost frontiers – an application to the motorway sector," Working Papers XREAP2016-04, Xarxa de Referència en Economia Aplicada (XREAP), revised Oct 2016.
    12. Sander Hoogendoorn & Joost van Gemeren & Paul Verstraten & Kees Folmer, 2016. "House prices and accessibility: Evidence from a natural experiment in transport infrastructure," CPB Discussion Paper 322, CPB Netherlands Bureau for Economic Policy Analysis.
    13. Xiao Ke & Justin Yifu Lin & Caihui Fu & Yong Wang, 2020. "Transport Infrastructure Development and Economic Growth in China: Recent Evidence from Dynamic Panel System-GMM Analysis," Sustainability, MDPI, vol. 12(14), pages 1-22, July.
    14. Guangqing Chi, 2012. "The Impacts of Transport Accessibility on Population Change across Rural, Suburban and Urban Areas: A Case Study of Wisconsin at Sub-county Levels," Urban Studies, Urban Studies Journal Limited, vol. 49(12), pages 2711-2731, September.
    15. Jie Wang & Biyu Peng & Xiaohua Xia & Zhu Ma, 2021. "Are Housing Prices Sustainable in 35 Large and Medium-Sized Chinese Cities? A Study Based on the Cheap Talk Game and Dynamic GMM," Sustainability, MDPI, vol. 13(22), pages 1-18, November.
    16. Dan Zheng, 2011. "The Dynamics of Economic Policy and Regional Specialization: Evidence from China's High-tech Industry," ERSA conference papers ersa11p1086, European Regional Science Association.
    17. Xavier Fageda & Marta Gonzalez-Aregall, 2014. "“The Spatial effects of transportation on industrial employment ”," IREA Working Papers 201429, University of Barcelona, Research Institute of Applied Economics, revised Nov 2014.
    18. Bottasso, Anna & Conti, Maurizio & Costacurta de Sa Porto, Paulo & Ferrari, Claudio & Tei, Alessio, 2021. "Roads to growth: The Brazilian way," Research in Transportation Economics, Elsevier, vol. 90(C).
    19. Miquel- Àngel Garcia-López & Adelheid Holl & Elisabet Viladecans-Marsal, 2013. "Suburbanization and highways: when the romans, the bourbons and the first cars still shape Spanish cities," Working Papers 2013/5, Institut d'Economia de Barcelona (IEB).
    20. Sobieralski, Joseph B., 2021. "Transportation infrastructure and employment: Are all investments created equal?," Research in Transportation Economics, Elsevier, vol. 88(C).

  33. Melo, Patricia C. & Graham, Daniel J. & Noland, Robert B., 2009. "A meta-analysis of estimates of urban agglomeration economies," Regional Science and Urban Economics, Elsevier, vol. 39(3), pages 332-342, May.

    Cited by:

    1. David Albouy & Kristian Behrens & Frédéric Robert-Nicoud & Nathan Seegert, 2016. "The Optimal Distribution of Population across Cities," NBER Working Papers 22823, National Bureau of Economic Research, Inc.
    2. David Levinson, 2010. "Accessibility Impacts of High Speed Rail," Working Papers 000072, University of Minnesota: Nexus Research Group.
    3. Colas, Mark & Saulnier, Emmett, 2023. "Vertical migration externalities," Regional Science and Urban Economics, Elsevier, vol. 101(C).
    4. Frick, Susanne A. & Rodríguez-Pose, Andrés, 2016. "Average city size and economic growth," LSE Research Online Documents on Economics 84371, London School of Economics and Political Science, LSE Library.
    5. Luigi Buzzacchi & Antonio De Marco & Marcello Pagnini, 2021. "Agglomeration and the Italian North-South divide," Questioni di Economia e Finanza (Occasional Papers) 637, Bank of Italy, Economic Research and International Relations Area.
    6. Nicola Cortinovis & Frank Oort, 2015. "Variety, economic growth and knowledge intensity of European regions: a spatial panel analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 55(1), pages 7-32, October.
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  34. Pejovic, Tamara & Noland, Robert B. & Williams, Victoria & Toumi, Ralf, 2009. "A tentative analysis of the impacts of an airport closure," Journal of Air Transport Management, Elsevier, vol. 15(5), pages 241-248.

    Cited by:

    1. Kim, Myeonghyeon & Choi, Yuri & Song, Ki Han, 2019. "Identification model development for proactive response on irregular operations (IROPs)," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 1-8.
    2. Ryley, Tim & Baumeister, Stefan & Coulter, Liese, 2020. "Climate change influences on aviation: A literature review," Transport Policy, Elsevier, vol. 92(C), pages 55-64.
    3. Das, Deepjyoti & Sharma, Somesh Kumar & Parti, Raman & Singh, Jagroop, 2016. "Analyzing the effect of aviation infrastructure over aviation fuel consumption reduction," Journal of Air Transport Management, Elsevier, vol. 57(C), pages 89-100.
    4. Sternberg, Alice & Carvalho, Diego & Murta, Leonardo & Soares, Jorge & Ogasawara, Eduardo, 2016. "An analysis of Brazilian flight delays based on frequent patterns," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 95(C), pages 282-298.
    5. Philippe Wendt & Augusto Voltes-Dorta & Pere Suau-Sanchez, 2020. "Estimating the costs for the airport operator and airlines of a drone-related shutdown: an application to Frankfurt international airport," Journal of Transportation Security, Springer, vol. 13(1), pages 93-116, June.
    6. Chen, Zhenhua & Wang, Yuxuan & Zhou, Lei, 2021. "Predicting weather-induced delays of high-speed rail and aviation in China," Transport Policy, Elsevier, vol. 101(C), pages 1-13.

  35. Piyapong Jiwattanakulpaisarn & Robert B. Noland & Daniel J. Graham & John W. Polak, 2009. "Highway infrastructure and state‐level employment: A causal spatial analysis," Papers in Regional Science, Wiley Blackwell, vol. 88(1), pages 133-159, March.

    Cited by:

    1. Zhenhua Chen & Kingsley Haynes, 2015. "Multilevel assessment of public transportation infrastructure: a spatial econometric computable general equilibrium approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(3), pages 663-685, May.
    2. Tong, Tingting & Yu, Tun-Hsiang Edward & Cho, Seong-Hoon & Jensen, Kimberly & De La Torre Ugarte, Daniel, 2013. "Evaluating the spatial spillover effects of transportation infrastructure on agricultural output across the United States," Journal of Transport Geography, Elsevier, vol. 30(C), pages 47-55.
    3. Zhenhua Chen & Kingsley E. Haynes, 2015. "Public surface transportation and regional output: A spatial panel approach," Papers in Regional Science, Wiley Blackwell, vol. 94(4), pages 727-751, November.
    4. Hirte, Georg & Stephan, Andreas, 2014. "Regionale Beschäftigungswirkungen von öffentlichen Investitionen in Straßen- und Schieneninfrastruktur," Discussion Papers 2/2014, Technische Universität Dresden, "Friedrich List" Faculty of Transport and Traffic Sciences, Institute of Transport and Economics.
    5. Stephen Gibbons & Teemu Lyytikäinen & Henry Overman & Rosa Sanchis-Guarner, 2017. "New Road Infrastructure: The Effects on Firms," SERC Discussion Papers 0214, Centre for Economic Performance, LSE.
    6. Emmanouil Tranos & Karima Kourtit & Peter Nijkamp, 2014. "Digital urban network connectivity: Global and Chinese internet patterns," Papers in Regional Science, Wiley Blackwell, vol. 93(2), pages 409-428, June.
    7. Awaworyi Churchill, Sefa & Baako, Kingsley Tetteh & Mintah, Kwabena & Zhang, Quanda, 2021. "Transport infrastructure and house prices in the long run," Transport Policy, Elsevier, vol. 112(C), pages 1-12.
    8. Zhenhua Chen & Kingsley E. Haynes, 2015. "Regional Impact of Public Transportation Infrastructure," Economic Development Quarterly, , vol. 29(3), pages 275-291, August.
    9. Michael Iacono & David Levinson, 2013. "Mutual Causality in Road Network Growth and Economic Development," Working Papers 000112, University of Minnesota: Nexus Research Group.
    10. Mehmet Aldonat Beyzatlar & Müge Karacal & Ý. Hakan Yetkiner, 2012. "The Granger-Causality between Transportation and GDP: A Panel Data Approach," Working Papers 1203, Izmir University of Economics.
    11. Ng, Choy Peng & Law, Teik Hua & Wong, Shaw Voon & Kulanthayan, S., 2017. "Relative improvements in road mobility as compared to improvements in road accessibility and economic growth: A cross-country analysis," Transport Policy, Elsevier, vol. 60(C), pages 24-33.
    12. Fang, Ling & Kleimann, Martin & Li, Yuan & Schmerer, Hans-Jörg, 2021. "The implications of the New Silk Road Railways on local development," Journal of Asian Economics, Elsevier, vol. 75(C).
    13. Lie Ma & Dandan Li & Xiaobo Tao & Haifeng Dong & Bei He & Xiaosu Ye, 2017. "Inequality, Bi-Polarization and Mobility of Urban Infrastructure Investment in China’s Urban System," Sustainability, MDPI, vol. 9(9), pages 1-19, September.
    14. Michael Iacono & David Levinson, 2012. "Rural Highway Expansion and Economic Development: Impacts on Private Earnings and Employment," Working Papers 000101, University of Minnesota: Nexus Research Group.
    15. Piyushimita Thakuriah (Vonu), 2011. "Variations in employment transportation outcomes: Role of site‐level factors," Papers in Regional Science, Wiley Blackwell, vol. 90(4), pages 755-772, November.
    16. Dena Kasraian & Kees Maat & Dominic Stead & Bert van Wee, 2016. "Long-term impacts of transport infrastructure networks on land-use change: an international review of empirical studies," Transport Reviews, Taylor & Francis Journals, vol. 36(6), pages 772-792, November.
    17. Rosa Sanchis-Guarner, 2012. "Driving Up Wages: The Effects of Road Construction in Great Britain," SERC Discussion Papers 0120, Centre for Economic Performance, LSE.
    18. Yena Song & Keumsook Lee & William Anderson & T. Lakshmanan, 2012. "Industrial agglomeration and transport accessibility in metropolitan Seoul," Journal of Geographical Systems, Springer, vol. 14(3), pages 299-318, July.
    19. Chiara Del Bo & Massimo Florio & Silvia Vignetti & Emanuela Sirtori, 2011. "Additionality and regional development: are EU Structural Funds complements or substitutes of national Public Finance?," Working Papers 201101, CSIL Centre for Industrial Studies.

  36. Crôtte, Amado & Noland, Robert B. & Graham, Daniel J., 2009. "Is the Mexico City metro an inferior good?," Transport Policy, Elsevier, vol. 16(1), pages 40-45, January.

    Cited by:

    1. Bel, Germà & Holst, Maximilian, 2018. "Evaluation of the impact of Bus Rapid Transit on air pollution in Mexico City," Transport Policy, Elsevier, vol. 63(C), pages 209-220.
    2. Guzman, Luis A. & Beltran, Carlos & Bonilla, Jorge & Gomez Cardona, Santiago, 2021. "BRT fare elasticities from smartcard data: Spatial and time-of-the-day differences," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 335-348.
    3. Atuesta,Laura H. & Ibarra-Olivo,J. Eduardo & Lozano Gracia,Nancy & Deichmann,Uwe, 2018. "Access to employment and property values in Mexico," Policy Research Working Paper Series 8383, The World Bank.
    4. Youzhi Zeng & Bin Ran & Ning Zhang & Xiaobao Yang, 2021. "Estimating the Price Elasticity of Train Travel Demand and Its Variation Rules and Application in Energy Used and CO 2 Emissions," Sustainability, MDPI, vol. 13(2), pages 1-19, January.
    5. Zhang, Jianhua & Song, Bo & Zhang, Zhaojun & Liu, Haikuan, 2014. "An approach for modeling vulnerability of the network of networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 412(C), pages 127-136.
    6. Zhang, Jianhua & Zhao, Mingwei & Liu, Haikuan & Xu, Xiaoming, 2013. "Networked characteristics of the urban rail transit networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(6), pages 1538-1546.
    7. Zhang, Jianhua & Wang, Shuliang & Wang, Xiaoyuan, 2018. "Comparison analysis on vulnerability of metro networks based on complex network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 496(C), pages 72-78.
    8. Germà Bel & Maximilian Holst, 2015. "“Evaluation of the Impact of Bus Rapid Transit on Air Pollution”," IREA Working Papers 201519, University of Barcelona, Research Institute of Applied Economics, revised Sep 2015.
    9. Melo, Patricia C. & Sobreira, Nuno & Goulart, Pedro, 2019. "Estimating the long-run metro demand elasticities for Lisbon: A time-varying approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 360-376.
    10. Guerra, Erick, 2014. "Mexico City's suburban land use and transit connection: The effects of the Line B Metro expansion," Transport Policy, Elsevier, vol. 32(C), pages 105-114.

  37. Wadud, Zia & Graham, Daniel J. & Noland, Robert B., 2009. "Modelling fuel demand for different socio-economic groups," Applied Energy, Elsevier, vol. 86(12), pages 2740-2749, December.

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    1. Hermann Buslei, 2023. "Schätzungen der langfristigen Preiselastizitäten der Energienachfrage für Heizung und Verkehr - eine Übersicht mit Schwerpunkt Deutschland," DIW Berlin: Politikberatung kompakt, DIW Berlin, German Institute for Economic Research, volume 127, number pbk194, January.
    2. Liu, Weiwei, 2015. "Gasoline taxes or efficiency standards? A heterogeneous household demand analysis," Energy Policy, Elsevier, vol. 80(C), pages 54-64.
    3. Tilov, Ivan & Weber, Sylvain, 2023. "Heterogeneity in price elasticity of vehicle kilometers traveled: Evidence from micro-level panel data," Energy Economics, Elsevier, vol. 127(PA).
    4. Kurt Kratena & Mark Sommer & Gerhard Streicher & Simone Salotti & Juan Manuel Valderas Jaramillo, 2017. "FIDELIO 2: Overview and Theoretical Foundations of the Second Version of the Fully Interregional Dynamic Econometric Long-term Input-Output Model for the EU 27," WIFO Studies, WIFO, number 61880, April.
    5. Ouyang, Jinlong & Long, Enshen & Hokao, Kazunori, 2010. "Rebound effect in Chinese household energy efficiency and solution for mitigating it," Energy, Elsevier, vol. 35(12), pages 5269-5276.
    6. Silvia Tiezzi & Stefano F. Verde, 2019. "The signaling effect of gasoline taxes and its distributional implications," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(2), pages 145-169, June.
    7. Morteza Taiebat & Samuel Stolper & Ming Xu, 2019. "Forecasting the Impact of Connected and Automated Vehicles on Energy Use A Microeconomic Study of Induced Travel and Energy Rebound," Papers 1902.00382, arXiv.org, revised May 2019.
    8. Trotta, Gianluca & Hansen, Anders Rhiger & Sommer, Stephan, 2022. "The price elasticity of residential district heating demand: New evidence from a dynamic panel approach," Energy Economics, Elsevier, vol. 112(C).
    9. Carlton, Justin & Burris, Mark, 2014. "Comprehensive Equity Analysis of Mileage-Based User Fees: Taxation and Expenditures for Roadways and Transit," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 53(2).
    10. Wadud, Zia & Noland, Robert B. & Graham, Daniel J., 2010. "A semiparametric model of household gasoline demand," Energy Economics, Elsevier, vol. 32(1), pages 93-101, January.
    11. Bergantino, Angela Stefania & Intini, Mario & Perdiguero, Jordi, 2020. "Pay cycles and fuel price: a quasi experimental approach," The Warwick Economics Research Paper Series (TWERPS) 1288, University of Warwick, Department of Economics.
    12. Sánchez, Luis & Reyes, Orlando, 2016. "La demanda de gasolinas, gas licuado de petróleo y electricidad en el Ecuador: elementos para una reforma fiscal ambiental," Documentos de Proyectos 40629, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    13. Mathias Kirchner & Mark Sommer & Claudia Kettner-Marx & Daniela Kletzan-Slamanig & Katharina Köberl & Kurt Kratena, 2018. "CO2 Tax Scenarios for Austria. Impacts on Household Income Groups, CO2 Emissions, and the Economy," WIFO Working Papers 558, WIFO.
    14. Wang, Qian & Hubacek, Klaus & Feng, Kuishuang & Wei, Yi-Ming & Liang, Qiao-Mei, 2016. "Distributional effects of carbon taxation," Applied Energy, Elsevier, vol. 184(C), pages 1123-1131.
    15. Berry, Audrey, 2019. "The distributional effects of a carbon tax and its impact on fuel poverty: A microsimulation study in the French context," Energy Policy, Elsevier, vol. 124(C), pages 81-94.
    16. Böhringer, Christoph & García-Muros, Xaquín & González-Eguino, Mikel, 2022. "Who bears the burden of greening electricity?," Energy Economics, Elsevier, vol. 105(C).
    17. Hofer, Christian & Kali, Raja & Mendez, Fabio, 2018. "Socio-economic mobility and air passenger demand in the U.S," Transportation Research Part A: Policy and Practice, Elsevier, vol. 112(C), pages 85-94.
    18. Brand, Christian & Goodman, Anna & Rutter, Harry & Song, Yena & Ogilvie, David, 2013. "Associations of individual, household and environmental characteristics with carbon dioxide emissions from motorised passenger travel," Applied Energy, Elsevier, vol. 104(C), pages 158-169.
    19. Dominik Bernhofer, 2021. "Die Verteilungseffekte einer CO2-Bepreisung im Haushaltssektor: Ein Überblick über die aktuelle empirische Literatur," Wirtschaft und Gesellschaft - WuG, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik, vol. 47(2), pages 225-239.
    20. Kent M. Hymel & Kenneth Small, 2014. "The Rebound Effect for Automobile Travel:Asymmetric Response to Price Changes and Novel Features of the 2000s," Working Papers 141503, University of California-Irvine, Department of Economics.
    21. Silvia Tiezzi & Stefano F. Verde, 2019. "The signaling effect of gasoline taxes and its distributional implications," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(2), pages 145-169, June.
    22. Wadud, Zia, 2014. "New vehicle fuel economy in the UK: Impact of the recession and recent policies," Energy Policy, Elsevier, vol. 74(C), pages 215-223.
    23. Claudia Kettner-Marx & Daniela Kletzan-Slamanig & Mathias Kirchner & Mark Sommer & Kurt Kratena & Stefan E. Weishaar & Irene Burgers, 2018. "CATs – Carbon Taxes in Austria. Implementation Issues and Impacts," WIFO Studies, WIFO, number 61185, April.
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    25. Mattioli, Giulio & Wadud, Zia & Lucas, Karen, 2018. "Vulnerability to fuel price increases in the UK: A household level analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 227-242.
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    28. Xuto, Praj & Bansal, Prateek & Anderson, Richard J. & Graham, Daniel J. & Hörcher, Daniel & Barron, Alexander, 2023. "Examining the impacts of capital investment in London’s Underground: A long-term analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
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    30. Emine Coruh & Faruk Urak & Abdulbaki Bilgic & Steven T. Yen, 2022. "The role of household demographic factors in shaping transportation spending in Turkey," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 3485-3517, March.
    31. Wang, Xia & Fang, Yuan & Cai, Weiguang & Ding, Chao & Xie, Yupei, 2022. "Heating demand with heterogeneity in residential households in the hot summer and cold winter climate zone in China -A quantile regression approach," Energy, Elsevier, vol. 247(C).
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    34. Wadud, Zia & Royston, Sarah & Selby, Jan, 2019. "Modelling energy demand from higher education institutions: A case study of the UK," Applied Energy, Elsevier, vol. 233, pages 816-826.
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    37. Shaw, Charles, 2020. "Econometric Analysis of Demand for Petrol in India, 1966-2019," MPRA Paper 104797, University Library of Munich, Germany.
    38. Galvin, Ray, 2016. "Rebound effects from speed and acceleration in electric and internal combustion engine cars: An empirical and conceptual investigation," Applied Energy, Elsevier, vol. 172(C), pages 207-216.
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    45. Burris, Mark & Lee, Sunghoon & Geiselbrecht, Tina & Baker, Richard & Weatherford, Brian, 2015. "Equity Evaluation of Sustainable Mileage-Based User Fee Scenarios," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 54(1).
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    48. Pablo del Río & Desiderio Romero & Marta Jorge & Mercedes Burguillo, 2012. "Territorial differences for transport fuel demand in Spain: an econometric study," Chapters, in: Larry Kreiser & Ana Yábar Sterling & Pedro Herrera & Janet E. Milne & Hope Ashiabor (ed.), Green Taxation and Environmental Sustainability, chapter 4, pages 56-68, Edward Elgar Publishing.
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  38. Robert B. Noland, 2008. "Understanding Accessibility and Road Capacity Changes: A Response in Support of Metz," Transport Reviews, Taylor & Francis Journals, vol. 28(6), pages 698-706, November.

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    1. Metz, David, 2021. "Economic benefits of road widening: Discrepancy between outturn and forecast," Transportation Research Part A: Policy and Practice, Elsevier, vol. 147(C), pages 312-319.
    2. Obermeyer, Andy & Treiber, Martin & Evangelinos, Christos, 2015. "On the identification of thresholds in travel choice modelling," Journal of choice modelling, Elsevier, vol. 17(C), pages 1-9.
    3. Franco Ruzzenenti & Andreas A. Papandreou, 2015. "Effects of fossil fuel prices on the transition to a low-carbon economy," Working papers wpaper89, Financialisation, Economy, Society & Sustainable Development (FESSUD) Project.

  39. Schmöcker, Jan-Dirk & Quddus, Mohammed A. & Noland, Robert B. & Bell, Michael G.H., 2008. "Mode choice of older and disabled people: a case study of shopping trips in London," Journal of Transport Geography, Elsevier, vol. 16(4), pages 257-267.

    Cited by:

    1. van den Berg, Pauline & Arentze, Theo & Timmermans, Harry, 2011. "Estimating social travel demand of senior citizens in the Netherlands," Journal of Transport Geography, Elsevier, vol. 19(2), pages 323-331.
    2. Shao, Fengjing & Sui, Yi & Yu, Xiang & Sun, Rencheng, 2019. "Spatio-temporal travel patterns of elderly people – A comparative study based on buses usage in Qingdao, China," Journal of Transport Geography, Elsevier, vol. 76(C), pages 178-190.
    3. Kwon, Kihyun & Akar, Gulsah, 2022. "People with disabilities and use of public transit: The role of neighborhood walkability," Journal of Transport Geography, Elsevier, vol. 100(C).
    4. Catherine Sundling & Mats E. Nilsson & Sara Hellqvist & Leslie R. Pendrill & Ragne Emardson & Birgitta Berglund, 2016. "Travel behaviour change in old age: the role of critical incidents in public transport," European Journal of Ageing, Springer, vol. 13(1), pages 75-83, March.
    5. Shen, Tonggaochuan & Cheng, Long & Yang, Yongjiang & Deng, Jialin & Jin, Tanhua & Cao, Mengqiu, 2023. "Do residents living in transit-oriented development station catchment areas travel more sustainably? The impacts of life events," LSE Research Online Documents on Economics 118813, London School of Economics and Political Science, LSE Library.
    6. Hwang, Jinuk & Kim, Seheon, 2023. "Autonomous vehicle transportation service for people with disabilities: Policy recommendations based on the evidence from hybrid choice model," Journal of Transport Geography, Elsevier, vol. 106(C).
    7. Nordlund, A. & Westin, K., 2013. "Influence of values, beliefs, and age on intention to travel by a new railway line under construction in northern Sweden," Transportation Research Part A: Policy and Practice, Elsevier, vol. 48(C), pages 86-95.
    8. Susanne T. Dale Nordbakke, 2019. "Mobility, Out-of-Home Activity Participation and Needs Fulfilment in Later Life," IJERPH, MDPI, vol. 16(24), pages 1-16, December.
    9. Samira Ramezani & Tiina Laatikainen & Kamyar Hasanzadeh & Marketta Kyttä, 2021. "Shopping trip mode choice of older adults: an application of activity space and hybrid choice models in understanding the effects of built environment and personal goals," Transportation, Springer, vol. 48(2), pages 505-536, April.
    10. Deeksha Tayal & Aasha Kapur Mehta, 2021. "Working Women, Delhi Metro and Covid-19: A Case Study in Delhi-NCR," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 64(2), pages 389-413, June.
    11. Khandker Habib, 2015. "An investigation on mode choice and travel distance demand of older people in the National Capital Region (NCR) of Canada: application of a utility theoretic joint econometric model," Transportation, Springer, vol. 42(1), pages 143-161, January.
    12. Liu, Luyu & Kar, Armita & Tokey, Ahmad Ilderim & Le, Huyen T.K. & Miller, Harvey J., 2023. "Disparities in public transit accessibility and usage by people with mobility disabilities: An evaluation using high-resolution transit data," Journal of Transport Geography, Elsevier, vol. 109(C).
    13. Hahn, Jin-Seok & Kim, Hyoung-Chul & Kim, Joon-Ki & Ulfarsson, Gudmundur F., 2016. "Trip making of older adults in Seoul: Differences in effects of personal and household characteristics by age group and trip purpose," Journal of Transport Geography, Elsevier, vol. 57(C), pages 55-62.
    14. Yang Zhou & Quan Yuan & Chao Yang, 2020. "Transport for the Elderly: Activity Patterns, Mode Choices, and Spatiotemporal Constraints," Sustainability, MDPI, vol. 12(23), pages 1-13, December.
    15. Lin, Ting (Grace) & Xia, Jianhong (Cecilia) & Robinson, Todd P. & Goulias, Konstadinos G. & Church, Richard L. & Olaru, Doina & Tapin, John & Han, Renlong, 2014. "Spatial analysis of access to and accessibility surrounding train stations: a case study of accessibility for the elderly in Perth, Western Australia," Journal of Transport Geography, Elsevier, vol. 39(C), pages 111-120.
    16. Mifsud, Deborah & Attard, Maria & Ison, Stephen, 2017. "To drive or to use the bus? An exploratory study of older people in Malta," Journal of Transport Geography, Elsevier, vol. 64(C), pages 23-32.
    17. Moniruzzaman, Md. & Páez, Antonio & Nurul Habib, Khandker M. & Morency, Catherine, 2013. "Mode use and trip length of seniors in Montreal," Journal of Transport Geography, Elsevier, vol. 30(C), pages 89-99.
    18. Hitomi Nakanishi & John Black, 2015. "Social Sustainability Issues and Older Adults’ Dependence on Automobiles in Low-Density Environments," Sustainability, MDPI, vol. 7(6), pages 1-21, June.
    19. Morency, Catherine & Paez, Antonio & Roorda, Matthew J. & Mercado, Ruben & Farber, Steven, 2011. "Distance traveled in three Canadian cities: Spatial analysis from the perspective of vulnerable population segments," Journal of Transport Geography, Elsevier, vol. 19(1), pages 39-50.
    20. Du, Fangye & Mao, Liang & Wang, Jiaoe, 2021. "Determinants of travel mode choice for seeking healthcare: A comparison between elderly and non-elderly patients," Journal of Transport Geography, Elsevier, vol. 92(C).
    21. Lucas, Karen & Philips, Ian & Mulley, Corinne & Ma, Liang, 2018. "Is transport poverty socially or environmentally driven? Comparing the travel behaviours of two low-income populations living in central and peripheral locations in the same city," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 622-634.
    22. Shin, Eun Jin, 2021. "Exploring the causal impact of transit fare exemptions on older adults’ travel behavior: Evidence from the Seoul metropolitan area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 149(C), pages 319-338.
    23. Orru, Kati & Poom, Age & Nordlund, Annika, 2019. "Socio-structural and psychological factors behind car use: Comparing Northern and Eastern Europe," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 313-325.
    24. Taylor, Zbigniew & Józefowicz, Iwona, 2012. "Intra-urban daily mobility of disabled people for recreational and leisure purposes," Journal of Transport Geography, Elsevier, vol. 24(C), pages 155-172.
    25. Chang, Yu-Chun, 2013. "Factors affecting airport access mode choice for elderly air passengers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 57(C), pages 105-112.
    26. Cheng, Long & Chen, Xuewu & Yang, Shuo & Cao, Zhan & De Vos, Jonas & Witlox, Frank, 2019. "Active travel for active ageing in China: The role of built environment," Journal of Transport Geography, Elsevier, vol. 76(C), pages 142-152.
    27. Mitra, Suman & Yao, Mingqi & Ritchie, Stephen G., 2021. "Gender differences in elderly mobility in the United States," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 203-226.
    28. Nordbakke, Susanne, 2013. "Capabilities for mobility among urban older women: barriers, strategies and options," Journal of Transport Geography, Elsevier, vol. 26(C), pages 166-174.
    29. McArthur, Jenny & Robin, Enora & Smeds, Emilia, 2019. "Socio-spatial and temporal dimensions of transport equity for London's night time economy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 433-443.
    30. Wong, R.C.P. & Szeto, W.Y. & Yang, Linchuan & Li, Y.C. & Wong, S.C., 2018. "Public transport policy measures for improving elderly mobility," Transport Policy, Elsevier, vol. 63(C), pages 73-79.
    31. Steven Farber & Antonio Páez, 2010. "Employment status and commute distance of Canadians with disabilities," Transportation, Springer, vol. 37(6), pages 931-952, November.
    32. Soltani, Ali & Pojani, Dorina & Askari, Sajad & Masoumi, Houshmand E., 2018. "Socio-demographic and built environment determinants of car use among older adults in Iran," Journal of Transport Geography, Elsevier, vol. 68(C), pages 109-117.
    33. Navarrete-Hernandez, Pablo & Rennert, Lindiwe & Balducci, Alessandro, 2023. "An evaluation of the impact of COVID-19 safety measures in public transit spaces on riders' Worry of virus contraction," Transport Policy, Elsevier, vol. 131(C), pages 1-12.
    34. Catherine Sundling & Birgitta Berglund & Mats E. Nilsson & Ragne Emardson & Leslie R. Pendrill, 2014. "Overall Accessibility to Traveling by Rail for the Elderly with and without Functional Limitations: The Whole-Trip Perspective," IJERPH, MDPI, vol. 11(12), pages 1-31, December.
    35. Deka, Devajyoti, 2014. "The role of household members in transporting adults with disabilities in the United States," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 45-57.
    36. Kaniz Fatima & Sara Moridpour & Tayebeh Saghapour, 2021. "Spatial and Temporal Distribution of Elderly Public Transport Mode Preference," Sustainability, MDPI, vol. 13(9), pages 1-15, April.
    37. Hyungwoo Lim & Jaehyeok Kim & Ha-Hyun Jo, 2020. "Population Age Structure and Greenhouse Gas Emissions from Road Transportation: A Panel Cointegration Analysis of 21 OECD Countries," IJERPH, MDPI, vol. 17(21), pages 1-18, October.
    38. Huiqian Sun & Peng Jing & Mengxuan Zhao & Yuexia Chen & Fengping Zhan & Yuji Shi, 2020. "Research on the Mode Choice Intention of the Elderly for Autonomous Vehicles Based on the Extended Ecological Model," Sustainability, MDPI, vol. 12(24), pages 1-22, December.
    39. Hjorthol, Randi J. & Levin, Lena & Sirén, Anu, 2010. "Mobility in different generations of older persons," Journal of Transport Geography, Elsevier, vol. 18(5), pages 624-633.
    40. Antonio Páez & Steven Farber, 2012. "Participation and desire: leisure activities among Canadian adults with disabilities," Transportation, Springer, vol. 39(6), pages 1055-1078, November.
    41. Misra, Aditi & Shirgaokar, Manish & Weinstein Agrawal, Asha & Dobbs, Bonnie & Wachs, Martin, 2022. "How older adults use Ride-hailing booking technology in California," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 11-30.
    42. Fangru Wang & Catherine L. Ross, 2019. "New potential for multimodal connection: exploring the relationship between taxi and transit in New York City (NYC)," Transportation, Springer, vol. 46(3), pages 1051-1072, June.
    43. Mercado, Ruben & Páez, Antonio & Newbold, K. Bruce, 2010. "Transport policy and the provision of mobility options in an aging society: a case study of Ontario, Canada," Journal of Transport Geography, Elsevier, vol. 18(5), pages 649-661.
    44. Chandrasekhar, S & Sharma, Ajay & Mishra, Sumit, 2017. "Transport Mode Choice for Commuting: Evidence from India," SocArXiv qh8m5, Center for Open Science.
    45. Solvoll, Gisle & Hanssen, Thor-Erik Sandberg, 2017. "User satisfaction with specialised transport for disabled in Norway," Journal of Transport Geography, Elsevier, vol. 62(C), pages 1-7.
    46. Sharmeen, Fariya & Timmermans, Harry, 2014. "Walking down the habitual lane: analyzing path dependence effects of mode choice for social trips," Journal of Transport Geography, Elsevier, vol. 39(C), pages 222-227.
    47. Rui Zhao & Linchuan Yang & Xinrong Liang & Yuanyuan Guo & Yi Lu & Yixuan Zhang & Xinyun Ren, 2019. "Last-Mile Travel Mode Choice: Data-Mining Hybrid with Multiple Attribute Decision Making," Sustainability, MDPI, vol. 11(23), pages 1-15, November.
    48. Martín, Belén & Páez, Antonio, 2019. "Individual and geographic variations in the propensity to travel by active modes in Vitoria-Gasteiz, Spain," Journal of Transport Geography, Elsevier, vol. 76(C), pages 103-113.
    49. Ryan, Jean & Pereira, Rafael H.M., 2021. "What are we missing when we measure accessibility? Comparing calculated and self-reported accounts among older people," Journal of Transport Geography, Elsevier, vol. 93(C).
    50. Engels, Benno & Liu, Gang-Jun, 2011. "Social exclusion, location and transport disadvantage amongst non-driving seniors in a Melbourne municipality, Australia," Journal of Transport Geography, Elsevier, vol. 19(4), pages 984-996.
    51. Lai, Xinjun & Lam, William H.K. & Su, Junbiao & Fu, Hui, 2019. "Modelling intra-household interactions in time-use and activity patterns of retired and dual-earner couples," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 172-194.
    52. Lars Böcker & Patrick Amen & Marco Helbich, 2017. "Elderly travel frequencies and transport mode choices in Greater Rotterdam, the Netherlands," Transportation, Springer, vol. 44(4), pages 831-852, July.
    53. Gao, Fan & Yang, Linchuan & Han, Chunyang & Tang, Jinjun & Li, Zhitao, 2022. "A network-distance-based geographically weighted regression model to examine spatiotemporal effects of station-level built environments on metro ridership," Journal of Transport Geography, Elsevier, vol. 105(C).
    54. Lucas, Karen & Bates, John & Moore, José & Carrasco, Juan Antonio, 2016. "Modelling the relationship between travel behaviours and social disadvantage," Transportation Research Part A: Policy and Practice, Elsevier, vol. 85(C), pages 157-173.
    55. Zhou, Yang & Yuan, Quan & Ding, Fangyi & Chen, Mingyang & Yang, Chao & Guo, Tangyi, 2022. "Demand, mobility, and constraints: Exploring travel behaviors and mode choices of older adults using a facility-based framework," Journal of Transport Geography, Elsevier, vol. 102(C).
    56. Liu, Qiyang & Liu, Yang & Zhang, Chi & An, Zihao & Zhao, Pengjun, 2021. "Elderly mobility during the COVID-19 pandemic: A qualitative exploration in Kunming, China," Journal of Transport Geography, Elsevier, vol. 96(C).
    57. Dominique Gillis & Ivana Semanjski & Dirk Lauwers, 2015. "How to Monitor Sustainable Mobility in Cities? Literature Review in the Frame of Creating a Set of Sustainable Mobility Indicators," Sustainability, MDPI, vol. 8(1), pages 1-30, December.
    58. Ryan, Jean & Wretstrand, Anders & Schmidt, Steven M., 2015. "Exploring public transport as an element of older persons' mobility: A Capability Approach perspective," Journal of Transport Geography, Elsevier, vol. 48(C), pages 105-114.

  40. Robert Noland & Mohammed Quddus & Washington Ochieng, 2008. "The effect of the London congestion charge on road casualties: an intervention analysis," Transportation, Springer, vol. 35(1), pages 73-91, January.

    Cited by:

    1. Ihab Kaddoura & Kai Nagel, 2018. "Simultaneous internalization of traffic congestion and noise exposure costs," Transportation, Springer, vol. 45(5), pages 1579-1600, September.
    2. Morton, Craig & Mattioli, Giulio & Anable, Jillian, 2021. "Public acceptability towards Low Emission Zones: The role of attitudes, norms, emotions, and trust," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 256-270.
    3. Marco Percoco, 2016. "The impact of road pricing on accidents: a note on Milan," Letters in Spatial and Resource Sciences, Springer, vol. 9(3), pages 343-352, October.
    4. Wadud, Zia, 2020. "The effects of e-ridehailing on motorcycle ownership in an emerging-country megacity," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 301-312.
    5. Ding, Hongliang & Sze, N.N. & Li, Haojie & Guo, Yanyong, 2021. "Affected area and residual period of London Congestion Charging scheme on road safety," Transport Policy, Elsevier, vol. 100(C), pages 120-128.
    6. Stellah Namatovu & Bonny Enock Balugaba & Kennedy Muni & Albert Ningwa & Linda Nsabagwa & Fredrick Oporia & Arthur Kiconco & Patrick Kyamanywa & Milton Mutto & Jimmy Osuret & Eva A Rehfuess & Jacob Bu, 2022. "Interventions to reduce pedestrian road traffic injuries: A systematic review of randomized controlled trials, cluster randomized controlled trials, interrupted time-series, and controlled before-afte," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-17, January.
    7. Moshe Givoni, 2012. "Re-assessing the Results of the London Congestion Charging Scheme," Urban Studies, Urban Studies Journal Limited, vol. 49(5), pages 1089-1105, April.
    8. Albalate, Daniel & Fageda, Xavier, 2021. "On the relationship between congestion and road safety in cities," Transport Policy, Elsevier, vol. 105(C), pages 145-152.

  41. Muhammad Moazzam Ishaque & Robert B. Noland, 2007. "Behavioural Issues in Pedestrian Speed Choice and Street Crossing Behaviour: A Review," Transport Reviews, Taylor & Francis Journals, vol. 28(1), pages 61-85, March.

    Cited by:

    1. Mohammad Paydar & Asal Kamani Fard, 2021. "The Hierarchy of Walking Needs and the COVID-19 Pandemic," IJERPH, MDPI, vol. 18(14), pages 1-16, July.

  42. Robert B Noland & John V Thomas, 2007. "Multivariate Analysis of Trip-Chaining Behavior," Environment and Planning B, , vol. 34(6), pages 953-970, December.
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    Cited by:

    1. Li, Xiang & Sun, Jian-Qiao, 2014. "Effect of interactions between vehicles and pedestrians on fuel consumption and emissions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 416(C), pages 661-675.
    2. Li, Xiang & Sun, Jian-Qiao, 2016. "Effects of vehicle–pedestrian interaction and speed limit on traffic performance of intersections," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 460(C), pages 335-347.
    3. Farzaneh Montazeri & Fausto Errico & Luc Pellecuer, 2022. "Comparison of the Performance of Hybrid Traffic Signal Patterns and Conventional Alternatives When Accounting for Both Pedestrians and Vehicles," Sustainability, MDPI, vol. 14(20), pages 1-33, October.
    4. Nam Seok Kim & Seung Sub Yoon & Donghyung Yook, 2017. "Performance comparison between pedestrian push-button and pre-timed pedestrian crossings at midblock: a Korean case study," Transportation Planning and Technology, Taylor & Francis Journals, vol. 40(6), pages 706-721, August.
    5. Fadyushin Alexey & Zakharov Dmitrii, 2020. "Influence of the Parameters of the Bus Lane and the Bus Stop on the Delays of Private and Public Transport," Sustainability, MDPI, vol. 12(22), pages 1-18, November.
    6. Li, Xiang & Sun, Jian-Qiao, 2015. "Studies of vehicle lane-changing to avoid pedestrians with cellular automata," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 438(C), pages 251-271.
    7. Biao Yin & Monica Menendez & Kaidi Yang, 2021. "Joint Optimization of Intersection Control and Trajectory Planning Accounting for Pedestrians in a Connected and Automated Vehicle Environment," Sustainability, MDPI, vol. 13(3), pages 1-25, January.

  44. Noland, Robert B. & Cowart, William A. & Fulton, Lewis M., 2006. "Travel demand policies for saving oil during a supply emergency," Energy Policy, Elsevier, vol. 34(17), pages 2994-3005, November.

    Cited by:

    1. François Gusdorf & Stéphane Hallegatte, 2006. "Behaviors and housing inertia are key factors in determining the consequences of a shock in transportation costs," CIRED Working Papers halshs-00096936, HAL.
    2. Echeverría, Lucía & Gimenez-Nadal, J. Ignacio & Molina, José Alberto, 2021. "Carpooling: User profiles and well-being," Nülan. Deposited Documents 3568, Universidad Nacional de Mar del Plata, Facultad de Ciencias Económicas y Sociales, Centro de Documentación.
    3. Yanwei Li & Araz Taeihagh & Martin De Jong, 2018. "The Governance of Risks in Ridesharing: A Revelatory Case from Singapore," Energies, MDPI, vol. 11(5), pages 1-21, May.
    4. Shaheen, Susan PhD & Cohen, Adam MCRP & Bayen, Alexandre PhD, 2018. "The Benefits of Carpooling," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt7jx6z631, Institute of Transportation Studies, UC Berkeley.
    5. Wanjing Ma & Hanzhou Xie & Baoxin Han, 2012. "Development and Evaluation of an Economic-Driving Assistance Program for Transit Vehicles," Energies, MDPI, vol. 5(2), pages 1-15, February.
    6. Paul Minett & John Pearce, 2011. "Estimating the Energy Consumption Impact of Casual Carpooling," Energies, MDPI, vol. 4(1), pages 1-14, January.
    7. Zhong, Lin & Zhang, Kenan & (Marco) Nie, Yu & Xu, Jiuping, 2020. "Dynamic carpool in morning commute: Role of high-occupancy-vehicle (HOV) and high-occupancy-toll (HOT) lanes," Transportation Research Part B: Methodological, Elsevier, vol. 135(C), pages 98-119.
    8. Liu, Xiaobing & Yan, Xuedong & Liu, Feng & Wang, Rui & Leng, Yan, 2019. "A trip-specific model for fuel saving estimation and subsidy policy making of carpooling based on empirical data," Applied Energy, Elsevier, vol. 240(C), pages 295-311.
    9. de Grange, Louis & Troncoso, Rodrigo & González, Felipe, 2012. "An empirical evaluation of the impact of three urban transportation policies on transit use," Transport Policy, Elsevier, vol. 22(C), pages 11-19.

  45. Noland, Robert B., 2005. "Fuel economy and traffic fatalities: multivariate analysis of international data," Energy Policy, Elsevier, vol. 33(17), pages 2183-2190, November.

    Cited by:

    1. Paul J. Burke & Shuhei Nishitateno, 2015. "Gasoline Prices And Road Fatalities: International Evidence," Economic Inquiry, Western Economic Association International, vol. 53(3), pages 1437-1450, July.
    2. Michael Anderson & Maximilian Auffhammer, 2011. "Pounds that Kill: The External Costs of Vehicle Weight," NBER Working Papers 17170, National Bureau of Economic Research, Inc.
    3. Guangqing Chi & Xuan Zhou & Timothy McClure & Paul Gilbert & Arthur Cosby & Li Zhang & Angela Robertson & David Levinson, 2010. "Gasoline Prices and Their Relationship to Drunk-Driving Crashes," Working Papers 201106, University of Minnesota: Nexus Research Group.
    4. Majid Zahiri & Jielun Liu & Xiqun (Michael) Chen, 2019. "Taxi Downsizing: A New Approach to Efficiency and Sustainability in the Taxi Industry," Sustainability, MDPI, vol. 11(18), pages 1-17, September.
    5. Castillo-Manzano, José I. & Castro-Nuño, Mercedes & Pedregal-Tercero, Diego J., 2014. "Temporary speed limit changes: An econometric estimation of the effects of the Spanish Energy Efficiency and Saving Plan," Economic Modelling, Elsevier, vol. 44(S1), pages 68-76.

  46. Wong, Walter K.I. & Noland, Robert B. & Bell, Michael G.H., 2005. "The theory and practice of congestion charging," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(7-9), pages 567-570.

    Cited by:

    1. Zhi-Chun Li & Qian-Wen Guo, 2017. "Optimal time for implementing cordon toll pricing scheme in a monocentric city," Papers in Regional Science, Wiley Blackwell, vol. 96(1), pages 163-190, March.
    2. Eliasson, Jonas & Mattsson, Lars-Göran, 2006. "Equity effects of congestion pricing: Quantitative methodology and a case study for Stockholm," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(7), pages 602-620, August.
    3. Tian, Ye & Li, Yudi & Sun, Jian, 2022. "Stick or carrot for traffic demand management? Evidence from experimental economics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 235-254.
    4. Hyman, G. & Mayhew, L., 2008. "Toll optimisation on river crossings serving large cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(1), pages 28-47, January.
    5. Li, Zhi-Chun & Wang, Ya-Dong, 2018. "Analysis of multimodal two-dimensional urban system equilibrium for cordon toll pricing and bus service design," Transportation Research Part B: Methodological, Elsevier, vol. 111(C), pages 244-265.
    6. Zhi-Chun Li & Li Cheng & André de Palma, 2023. "Ring road investment, cordon tolling, and urban spatial structure: Formulation and a case study," THEMA Working Papers 2023-07, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.

  47. Noland, Robert B. & Quddus, Mohammed A., 2005. "Congestion and safety: A spatial analysis of London," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(7-9), pages 737-754.
    See citations under working paper version above.
  48. Noland, Robert B. & Karlaftis, Matthew G., 2005. "Sensitivity of crash models to alternative specifications," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 41(5), pages 439-458, September.

    Cited by:

    1. Xiaokun Wang & Kara Kockelman, 2007. "Specification and estimation of a spatially and temporally autocorrelated seemingly unrelated regression model: application to crash rates in China," Transportation, Springer, vol. 34(3), pages 281-300, May.
    2. Robert Noland & Mohammed Quddus & Washington Ochieng, 2008. "The effect of the London congestion charge on road casualties: an intervention analysis," Transportation, Springer, vol. 35(1), pages 73-91, January.

  49. Robert B. Noland * & Washington Y. Ochieng & Mohammed A. Quddus & Robin J. North & John W. Polak, 2004. "The vehicle emissions and performance monitoring system: analysis of tailpipe emissions and vehicle performance," Transportation Planning and Technology, Taylor & Francis Journals, vol. 27(6), pages 431-447, September.

    Cited by:

    1. Yavasoglu, H.A. & Tetik, Y.E. & Gokce, K., 2019. "Implementation of machine learning based real time range estimation method without destination knowledge for BEVs," Energy, Elsevier, vol. 172(C), pages 1179-1186.

  50. Robert B. Noland, 2004. "Motor Vehicle Fuel Efficiency and Traffic Fatalities," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 1-22.

    Cited by:

    1. Eskeland, Gunnar S. & Mideksa, Torben K., 2008. "Transportation fuel use, technology and standards: The role of credibility and expectations," Policy Research Working Paper Series 4695, The World Bank.
    2. Michael Anderson & Maximilian Auffhammer, 2011. "Pounds that Kill: The External Costs of Vehicle Weight," NBER Working Papers 17170, National Bureau of Economic Research, Inc.
    3. Parry, Ian W.H. & Fischer, Carolyn & Harrington, Winston, 2004. "Should Corporate Average Fuel Economy (CAFE) Standards Be Tightened?," Discussion Papers 10605, Resources for the Future.
    4. Noland, Robert B., 2013. "From theory to practice in road safety policy: Understanding risk versus mobility," Research in Transportation Economics, Elsevier, vol. 43(1), pages 71-84.
    5. Antonio Bento & Kenneth Gillingham & Kevin Roth, 2017. "The Effect of Fuel Economy Standards on Vehicle Weight Dispersion and Accident Fatalities," NBER Working Papers 23340, National Bureau of Economic Research, Inc.
    6. Ian W. H. Parry & Margaret Walls & Winston Harrington, 2007. "Automobile Externalities and Policies," Journal of Economic Literature, American Economic Association, vol. 45(2), pages 373-399, June.
    7. Noland, Robert B., 2005. "Fuel economy and traffic fatalities: multivariate analysis of international data," Energy Policy, Elsevier, vol. 33(17), pages 2183-2190, November.
    8. Sivak, Michael & Tsimhoni, Omer, 2009. "Fuel efficiency of vehicles on US roads: 1923-2006," Energy Policy, Elsevier, vol. 37(8), pages 3168-3170, August.

  51. Phil Goodwin & Robert Noland, 2003. "Building new roads really does create extra traffic: a response to Prakash et al," Applied Economics, Taylor & Francis Journals, vol. 35(13), pages 1451-1457.

    Cited by:

    1. Börjesson, Maria & Jonsson , Daniel & Berglund, Svante & Almström , Peter, 2013. "Land-use impacts in transport appraisal," Working papers in Transport Economics 2013:32, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    2. David Levinson, 2007. "Density and Dispersion: The Co-Development of Land use and Rail in London," Working Papers 200801, University of Minnesota: Nexus Research Group.
    3. Ison, Stephen & Merkert, Rico & Mulley, Corinne, 2014. "Policy approaches to public transport at airports—Some diverging evidence from the UK and Australia," Transport Policy, Elsevier, vol. 35(C), pages 265-274.
    4. Wu, Di & Yin, Yafeng & Lawphongpanich, Siriphong & Yang, Hai, 2012. "Design of more equitable congestion pricing and tradable credit schemes for multimodal transportation networks," Transportation Research Part B: Methodological, Elsevier, vol. 46(9), pages 1273-1287.
    5. Bucsky, Péter & Juhász, Mattias, 2022. "Long-term evidence on induced traffic: A case study on the relationship between road traffic and capacity of Budapest bridges," Transportation Research Part A: Policy and Practice, Elsevier, vol. 157(C), pages 244-257.
    6. Fielbaum, Andrés & Jara-Diaz, Sergio, 2021. "Assessment of the socio-spatial effects of urban transport investment using Google Maps API," Journal of Transport Geography, Elsevier, vol. 91(C).
    7. Santos, Georgina & Behrendt, Hannah & Teytelboym, Alexander, 2010. "Part II: Policy instruments for sustainable road transport," Research in Transportation Economics, Elsevier, vol. 28(1), pages 46-91.
    8. Börjesson, Maria & Jonsson, R. Daniel & Lundberg, Mattias, 2014. "An ex-post CBA for the Stockholm Metro," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 135-148.
    9. Robert Noland, 2005. "Transport and Environmental Planning - Research, Rhetoric and Reality," ERSA conference papers ersa05p548, European Regional Science Association.
    10. Upham, Paul & Kivimaa, Paula & Virkamäki, Venla, 2013. "Path dependence and technological expectations in transport policy: the case of Finland and the UK," Journal of Transport Geography, Elsevier, vol. 32(C), pages 12-22.
    11. Lian, Jon Inge, 2008. "The Oslo and Bergen toll rings and road-building investment – Effect on traffic development and congestion," Journal of Transport Geography, Elsevier, vol. 16(3), pages 174-181.
    12. Tønnesen, Anders, 2015. "Policy packages and state engagement: Comparing car-use reduction policy in two Norwegian cities," Journal of Transport Geography, Elsevier, vol. 46(C), pages 89-98.
    13. González, Rosa Marina & Marrero, Gustavo A., 2012. "Induced road traffic in Spanish regions: A dynamic panel data model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(3), pages 435-445.
    14. Börjesson, Maria & Jonsson, R. Daniel & Berglund, Svante & Almström, Peter, 2014. "Land-use impacts in transport appraisal," Research in Transportation Economics, Elsevier, vol. 47(C), pages 82-91.
    15. Concas, Sisinnio, 2012. "Highway capital expenditures and induced vehicle travel," MPRA Paper 40757, University Library of Munich, Germany, revised 12 Aug 2012.
    16. Börjesson, Maria & Jonsson, Daniel & Lundberg , Mattias, 2013. "An ex-post CBA for the Stockholm Metro," Working papers in Transport Economics 2013:34, CTS - Centre for Transport Studies Stockholm (KTH and VTI).

  52. Victoria Williams & Robert B. Noland & Ralf Toumi, 2003. "Air transport cruise altitude restrictions to minimize contrail formation," Climate Policy, Taylor & Francis Journals, vol. 3(3), pages 207-219, September.

    Cited by:

    1. Fangzi Liu & Zihong Li & Hua Xie & Lei Yang & Minghua Hu, 2021. "Predicting Fuel Consumption Reduction Potentials Based on 4D Trajectory Optimization with Heterogeneous Constraints," Sustainability, MDPI, vol. 13(13), pages 1-33, June.
    2. Dabin Xue & Kam K. H. Ng & Li-Ta Hsu, 2020. "Multi-Objective Flight Altitude Decision Considering Contrails, Fuel Consumption and Flight Time," Sustainability, MDPI, vol. 12(15), pages 1-20, August.
    3. Weiqiang Lin, 2016. "Drawing lines in the sky: The emotional labours of airspace production," Environment and Planning A, , vol. 48(6), pages 1030-1046, June.

  53. Robert Noland & John Polak & Michael Bell & Neil Thorpe, 2003. "How much disruption to activities could fuel shortages cause? – The British fuel crisis of September 2000," Transportation, Springer, vol. 30(4), pages 459-481, November.

    Cited by:

    1. Noland, Robert B. & Cowart, William A. & Fulton, Lewis M., 2006. "Travel demand policies for saving oil during a supply emergency," Energy Policy, Elsevier, vol. 34(17), pages 2994-3005, November.

  54. Robert B. Noland & John W. Polak, 2002. "Travel time variability: A review of theoretical and empirical issues," Transport Reviews, Taylor & Francis Journals, vol. 22(1), pages 39-54, January.

    Cited by:

    1. Mickaël Beaud & Thierry Blayac & Maïté Stéphan, 2014. "Measurements and properties of the values of time and reliability," Working Papers 14-06, LAMETA, Universtiy of Montpellier, revised Jul 2014.
    2. Gao, Kun & Sun, Lijun & Yang, Ying & Meng, Fanyu & Qu, Xiaobo, 2021. "Cumulative prospect theory coupled with multi-attribute decision making for modeling travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 1-21.
    3. Tian, Li-Jun & Huang, Hai-Jun, 2015. "Modeling the modal split and trip scheduling with commuters’ uncertainty expectation," European Journal of Operational Research, Elsevier, vol. 244(3), pages 815-822.
    4. Emily Grisé & Ahmed El-Geneidy, 2020. "Assessing operation and customer perception characteristics of high frequency local and limited-stop bus service in Vancouver, Canada," Public Transport, Springer, vol. 12(3), pages 519-534, October.
    5. Fosgerau, Mogens & Fukuda, Daisuke, 2010. "Valuing travel time variability: Characteristics of the travel time distribution on an urban road," MPRA Paper 24330, University Library of Munich, Germany.
    6. Paul Koster & Eric Pels & Erik Verhoef, 2016. "The User Costs of Air Travel Delay Variability," Transportation Science, INFORMS, vol. 50(1), pages 120-131, February.
    7. Mickaël Beaud & Thierry Blayac & Maïté Stéphan, 2016. "The impact of travel time variability and travelers' risk attitudes on the values of time and reliability," Post-Print hal-01923409, HAL.
    8. Mark G. Lijesen, 2014. "Optimal Traveler Responses to Stochastic Delays in Public Transport," Transportation Science, INFORMS, vol. 48(2), pages 256-264, May.
    9. David Banister & Michael Browne & Moshe Givoni, 2010. "Transport Reviews—The 30-super-th Anniversary of the Journal," Transport Reviews, Taylor & Francis Journals, vol. 30(1), pages 1-10, January.
    10. Verbeeck, C. & Vansteenwegen, P. & Aghezzaf, E.-H., 2016. "Solving the stochastic time-dependent orienteering problem with time windows," European Journal of Operational Research, Elsevier, vol. 255(3), pages 699-718.
    11. Ramezani, Mohsen & Geroliminis, Nikolas, 2012. "On the estimation of arterial route travel time distribution with Markov chains," Transportation Research Part B: Methodological, Elsevier, vol. 46(10), pages 1576-1590.
    12. Shanjiang Zhu & David Levinson, 2011. "A Portfolio Theory of Route Choice," Working Papers 000096, University of Minnesota: Nexus Research Group.
    13. N. Oort, 2016. "Incorporating enhanced service reliability of public transport in cost-benefit analyses," Public Transport, Springer, vol. 8(1), pages 143-160, March.
    14. Fosgerau, Mogens & Karlström, Anders, 2010. "The value of reliability," Transportation Research Part B: Methodological, Elsevier, vol. 44(1), pages 38-49, January.
    15. Chai, Huajun, 2019. "Dynamic Traffic Routing and Adaptive Signal Control in a Connected Vehicles Environment," Institute of Transportation Studies, Working Paper Series qt9ng3z8vn, Institute of Transportation Studies, UC Davis.
    16. Zhaoqi Zang & Xiangdong Xu & Kai Qu & Ruiya Chen & Anthony Chen, 2022. "Travel time reliability in transportation networks: A review of methodological developments," Papers 2206.12696, arXiv.org, revised Jul 2022.
    17. Eliasson, Jonas, 2009. "Forecasting travel time variability," MPRA Paper 92470, University Library of Munich, Germany.
    18. Olsson, Nils O.E. & Haugland, Hans, 2004. "Influencing factors on train punctuality--results from some Norwegian studies," Transport Policy, Elsevier, vol. 11(4), pages 387-397, October.
    19. Yin-Yen Tseng, 2004. "A meta-analysis of travel time reliability," ERSA conference papers ersa04p415, European Regional Science Association.
    20. Kemel, Emmanuel & Paraschiv, Corina, 2013. "Prospect Theory for joint time and money consequences in risk and ambiguity," Transportation Research Part B: Methodological, Elsevier, vol. 56(C), pages 81-95.
    21. Gardner, Lauren M. & Boyles, Stephen D. & Waller, S. Travis, 2011. "Quantifying the benefit of responsive pricing and travel information in the stochastic congestion pricing problem," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(3), pages 204-218, March.
    22. Shahabi, Mehrdad & Unnikrishnan, Avinash & Boyles, Stephen D., 2013. "An outer approximation algorithm for the robust shortest path problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 58(C), pages 52-66.
    23. Masiero, Lorenzo & Hrankai, Richard, 2022. "Modeling tourist accessibility to peripheral attractions," Annals of Tourism Research, Elsevier, vol. 92(C).
    24. Börjesson, Maria & Eliasson, Jonas, 2011. "On the use of "average delay" as a measure of train reliability," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(3), pages 171-184, March.
    25. Hemant Gehlot & Arif M. Sadri & Satish V. Ukkusuri, 2019. "Joint modeling of evacuation departure and travel times in hurricanes," Transportation, Springer, vol. 46(6), pages 2419-2440, December.
    26. Shao, Feng & Shao, Hu & Wang, Dongle & Lam, William H.K. & Cao, Shuhan, 2023. "A generative model for vehicular travel time distribution prediction considering spatial and temporal correlations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 621(C).
    27. Connors, Richard D. & Sumalee, Agachai, 2009. "A network equilibrium model with travellers' perception of stochastic travel times," Transportation Research Part B: Methodological, Elsevier, vol. 43(6), pages 614-624, July.
    28. Javier Asensio & Anna Matas, 2007. "Commuters’ valuation of travel time variability in Barcelona," Working Papers wpdea0701, Department of Applied Economics at Universitat Autonoma of Barcelona.
    29. Carlos Carrion & David Levinson, 2010. "Value of Travel Time Reliability: A review of current evidence," Working Papers 000085, University of Minnesota: Nexus Research Group.
    30. Boisjoly, Geneviève & Grisé, Emily & Maguire, Meadhbh & Veillette, Marie-Pier & Deboosere, Robbin & Berrebi, Emma & El-Geneidy, Ahmed, 2018. "Invest in the ride: A 14 year longitudinal analysis of the determinants of public transport ridership in 25 North American cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 434-445.
    31. Jenelius, Erik & Mattsson, Lars-Göran & Levinson, David, 2011. "Traveler delay costs and value of time with trip chains, flexible activity scheduling and information," Transportation Research Part B: Methodological, Elsevier, vol. 45(5), pages 789-807, June.
    32. Mohammed Abdellaoui & Emmanuel Kemel, 2014. "Eliciting Prospect Theory When Consequences Are Measured in Time Units: “Time Is Not Money”," Management Science, INFORMS, vol. 60(7), pages 1844-1859, July.
    33. Berdica, Katja, 2002. "An introduction to road vulnerability: what has been done, is done and should be done," Transport Policy, Elsevier, vol. 9(2), pages 117-127, April.
    34. Rajesh S. Prabhu Gaonkar & V. Mariappan, 0. "Transportation time reliability appraisal in maritime context," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 0, pages 1-11.
    35. Kawasaki, Tomoya & Hanaoka, Shinya & Nguyen, Long Xuan, 2014. "The valuation of shipment time variability in Greater Mekong Subregion," Transport Policy, Elsevier, vol. 32(C), pages 25-33.
    36. Büchel, Beda & Corman, Francesco, 2022. "Modeling conditional dependencies for bus travel time estimation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 592(C).
    37. Siu, Barbara W.Y. & Lo, Hong K., 2008. "Doubly uncertain transportation network: Degradable capacity and stochastic demand," European Journal of Operational Research, Elsevier, vol. 191(1), pages 166-181, November.
    38. Yi-Shih Chung & Szu-Yu Tu, 2021. "Tri-reference-point hypothesis development for airport ground access behaviors," Transportation, Springer, vol. 48(5), pages 2159-2185, October.
    39. Keumi, Chikako & Murakami, Hideki, 2012. "The role of schedule delays on passengers’ choice of access modes: A case study of Japan’s international hub airports," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(5), pages 1023-1031.
    40. Kanafani, Adib & Wang, Rui, 2010. "Measuring Multimodal Transport Level of Service," University of California Transportation Center, Working Papers qt9k74n1b5, University of California Transportation Center.
    41. Peter Mackie & Daniel Graham & James Laird, 2011. "The Direct and Wider Impacts of Transport Projects: A Review," Chapters, in: André de Palma & Robin Lindsey & Emile Quinet & Roger Vickerman (ed.), A Handbook of Transport Economics, chapter 21, Edward Elgar Publishing.
    42. Aya Aboudina & Alaa Itani & Ehab Diab & Siva Srikukenthiran & Amer Shalaby, 2021. "Evaluation of bus bridging scenarios for railway service disruption management: a users’ delay modelling tool," Public Transport, Springer, vol. 13(3), pages 457-481, October.
    43. Oded Cats & Zafeira Gkioulou, 2017. "Modeling the impacts of public transport reliability and travel information on passengers’ waiting-time uncertainty," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 6(3), pages 247-270, September.
    44. Li, Hao & Tu, Huizhao & Hensher, David A., 2016. "Integrating the mean–variance and scheduling approaches to allow for schedule delay and trip time variability under uncertainty," Transportation Research Part A: Policy and Practice, Elsevier, vol. 89(C), pages 151-163.
    45. Jens Parbo & Otto Anker Nielsen & Carlo Giacomo Prato, 2016. "Passenger Perspectives in Railway Timetabling: A Literature Review," Transport Reviews, Taylor & Francis Journals, vol. 36(4), pages 500-526, July.
    46. R A Russell & T L Urban, 2008. "Vehicle routing with soft time windows and Erlang travel times," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(9), pages 1220-1228, September.
    47. Shuai Yu & Bin Li & Dongmei Liu, 2023. "Exploring the Public Health of Travel Behaviors in High-Speed Railway Environment during the COVID-19 Pandemic from the Perspective of Trip Chain: A Case Study of Beijing–Tianjin–Hebei Urban Agglomera," IJERPH, MDPI, vol. 20(2), pages 1-22, January.
    48. Ulrik Berggren & Carmelo D’Agostino & Helena Svensson & Karin Brundell-Freij, 2022. "Intrapersonal variability in public transport path choice due to changes in service reliability," Transportation, Springer, vol. 49(6), pages 1517-1547, December.
    49. Chikako Keumi & Hideki Murakami, 2010. "Role of schedule delays on passengers' choice of access modes: A case of Japan' s international airport," Discussion Papers 2010-59, Kobe University, Graduate School of Business Administration.
    50. Banister, David, 2008. "The sustainable mobility paradigm," Transport Policy, Elsevier, vol. 15(2), pages 73-80, March.
    51. Vinayak V Dixit & Laurent Denant-Boemont, 2014. "Is Equilibrium in Transport Pure Nash, Mixed or Stochastic? Evidence from Laboratory Experiments," Post-Print halshs-01103472, HAL.
    52. Yang, Kaidi & Roca-Riu, Mireia & Menéndez, Mónica, 2019. "An auction-based approach for prebooked urban logistics facilities," Omega, Elsevier, vol. 89(C), pages 193-211.
    53. Zheng Li & David Hensher, 2013. "Behavioural implications of preferences, risk attitudes and beliefs in modelling risky travel choice with travel time variability," Transportation, Springer, vol. 40(3), pages 505-523, May.
    54. Deka, Devajyoti, 2015. "Factors associated with disability paratransit's travel time reliability," Journal of Transport Geography, Elsevier, vol. 48(C), pages 96-104.
    55. Xing, Tao & Zhou, Xuesong, 2011. "Finding the most reliable path with and without link travel time correlation: A Lagrangian substitution based approach," Transportation Research Part B: Methodological, Elsevier, vol. 45(10), pages 1660-1679.
    56. Qi, Hang & Jia, Ning & Qu, Xiaobo & He, Zhengbing, 2023. "Investigating day-to-day route choices based on multi-scenario laboratory experiments, Part I: Route-dependent attraction and its modeling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 167(C).
    57. Small, Kenneth A., 2012. "Valuation of travel time," Economics of Transportation, Elsevier, vol. 1(1), pages 2-14.
    58. van Loon, Ruben & Rietveld, Piet & Brons, Martijn, 2011. "Travel-time reliability impacts on railway passenger demand: a revealed preference analysis," Journal of Transport Geography, Elsevier, vol. 19(4), pages 917-925.
    59. Andreas Økland & Nils O. E. Olsson, 2021. "Punctuality development and delay explanation factors on Norwegian railways in the period 2005–2014," Public Transport, Springer, vol. 13(1), pages 127-161, March.
    60. Ramli, Muhamad Azfar & Jayaraman, Vasundhara & Kwek, Hyen Chee & Tan, Kian Heong & Lee Kee Khoon, Gary & Monterola, Christopher, 2018. "Improved estimation of commuter waiting times using headway and commuter boarding information," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 501(C), pages 217-226.
    61. Soriguera, Francesc, 2014. "On the value of highway travel time information systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 294-310.
    62. Li, Zheng & Hensher, David A. & Zeng, Jingjing, 2022. "Travel choice behaviour under uncertainty in real-market settings: A source-dependent utility approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 168(C).
    63. Grisé, Emily & El-Geneidy, Ahmed, 2017. "Evaluating the relationship between socially (dis)advantaged neighbourhoods and customer satisfaction of bus service in London, U.K," Journal of Transport Geography, Elsevier, vol. 58(C), pages 166-175.
    64. Kim, Sung Hoo & Chung, Jin-Hyuk, 2018. "Exploration on origin–destination-based travel time variability: Insights from Seoul metropolitan area," Journal of Transport Geography, Elsevier, vol. 70(C), pages 104-113.
    65. He, Sylvia Y., 2013. "Does flexitime affect choice of departure time for morning home-based commuting trips? Evidence from two regions in California," Transport Policy, Elsevier, vol. 25(C), pages 210-221.
    66. Hollander, Yaron, 2006. "Direct versus indirect models for the effects of unreliability," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(9), pages 699-711, November.
    67. Clark, Stephen & Watling, David, 2005. "Modelling network travel time reliability under stochastic demand," Transportation Research Part B: Methodological, Elsevier, vol. 39(2), pages 119-140, February.
    68. Kim, Jiwon & Mahmassani, Hani S., 2015. "Compound Gamma representation for modeling travel time variability in a traffic network," Transportation Research Part B: Methodological, Elsevier, vol. 80(C), pages 40-63.
    69. Rajesh S. Prabhu Gaonkar & V. Mariappan, 2020. "Transportation time reliability appraisal in maritime context," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(3), pages 736-746, June.
    70. Nate Wessel & Michael J. Widener, 2017. "Discovering the space–time dimensions of schedule padding and delay from GTFS and real-time transit data," Journal of Geographical Systems, Springer, vol. 19(1), pages 93-107, January.
    71. Qi, Jin & Sim, Melvyn & Sun, Defeng & Yuan, Xiaoming, 2016. "Preferences for travel time under risk and ambiguity: Implications in path selection and network equilibrium," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 264-284.
    72. Zhang, Yuli & Shen, Zuo-Jun Max & Song, Shiji, 2016. "Parametric search for the bi-attribute concave shortest path problem," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 150-168.
    73. Li-Jun Tian & Hai-Jun Huang & Zi-You Gao, 2012. "A Cumulative Perceived Value-Based Dynamic User Equilibrium Model Considering the Travelers’ Risk Evaluation on Arrival Time," Networks and Spatial Economics, Springer, vol. 12(4), pages 589-608, December.
    74. Cass, Noel & Faulconbridge, James, 2016. "Commuting practices: New insights into modal shift from theories of social practice," Transport Policy, Elsevier, vol. 45(C), pages 1-14.
    75. Tao, Sui & Rohde, David & Corcoran, Jonathan, 2014. "Examining the spatial–temporal dynamics of bus passenger travel behaviour using smart card data and the flow-comap," Journal of Transport Geography, Elsevier, vol. 41(C), pages 21-36.
    76. Yusuf Sofiyandi & Muhammad Halley Yudhistira, 2018. "Estimating the Benefit of Document-Handling Process Improvement for Seaport Reliability: The Case of Indonesia," LPEM FEBUI Working Papers 201816, LPEM, Faculty of Economics and Business, University of Indonesia, revised Jan 2018.
    77. Hongcheng Gan & Yang Bai, 2014. "The effect of travel time variability on route choice decision: a generalized linear mixed model based analysis," Transportation, Springer, vol. 41(2), pages 339-350, March.
    78. Schwanen, Tim & Ettema, Dick, 2009. "Coping with unreliable transportation when collecting children: Examining parents' behavior with cumulative prospect theory," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(5), pages 511-525, June.
    79. Chen, Bi Yu & Cheng, Xue-Ping & Kwan, Mei-Po & Schwanen, Tim, 2020. "Evaluating spatial accessibility to healthcare services under travel time uncertainty: A reliability-based floating catchment area approach," Journal of Transport Geography, Elsevier, vol. 87(C).
    80. Martin Hrušovský & Emrah Demir & Werner Jammernegg & Tom Woensel, 2018. "Hybrid simulation and optimization approach for green intermodal transportation problem with travel time uncertainty," Flexible Services and Manufacturing Journal, Springer, vol. 30(3), pages 486-516, September.
    81. Jenelius, Erik, 2012. "The value of travel time variability with trip chains, flexible scheduling and correlated travel times," Transportation Research Part B: Methodological, Elsevier, vol. 46(6), pages 762-780.
    82. Fu, Jianhua & Zhang, Yongqing, 2020. "Valuation of travel time reliability: Considering the traveler's adaptive expectation with an indifference band on daily trip duration," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 337-353.

  55. Noland, Robert B., 2001. "Relationships between highway capacity and induced vehicle travel," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(1), pages 47-72, January.

    Cited by:

    1. Börjesson, Maria & Jonsson , Daniel & Berglund, Svante & Almström , Peter, 2013. "Land-use impacts in transport appraisal," Working papers in Transport Economics 2013:32, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    2. Hymel, Kent M. & Small, Kenneth A. & Dender, Kurt Van, 2010. "Induced demand and rebound effects in road transport," Transportation Research Part B: Methodological, Elsevier, vol. 44(10), pages 1220-1241, December.
    3. Piyapong Jiwattanakulpaisarn & Robert Noland & Daniel Graham & John Polak, 2006. "Highway Infrastructure Investment and Regional Employment Growth: Dynamic Panel Regression Analysis," ERSA conference papers ersa06p207, European Regional Science Association.
    4. David Levinson & Ramachandra Karamalaputi, 2003. "Predicting the Construction of New Highway Links," Working Papers 200305, University of Minnesota: Nexus Research Group.
    5. Hu, Xisheng & Wu, Chengzhen & Wang, Jiankai & Qiu, Rongzu, 2018. "Identification of spatial variation in road network and its driving patterns: Economy and population," Regional Science and Urban Economics, Elsevier, vol. 71(C), pages 37-45.
    6. Patricia Mokhtarian & Francisco Samaniego & Robert Shumway & Neil Willits, 2002. "Revisiting the notion of induced traffic through a matched-pairs study," Transportation, Springer, vol. 29(2), pages 193-220, May.
    7. Choo, Sangho & Mokhtarian, Patricia L, 2008. "How do people respond to congestion mitigation policies? A multivariate probit model of the individual consideration of three travel-related strategy bundles," University of California Transportation Center, Working Papers qt53s553tn, University of California Transportation Center.
    8. Rhoads, Thomas A. & Shogren, Jason F., 2006. "Why do cities use supply side strategies to mitigate traffic congestion externalities?," Economics Letters, Elsevier, vol. 92(2), pages 214-219, August.
    9. Alexandros Dimitropoulos & Walid Oueslati & Christina Sintek, 2016. "The Rebound Effect in Road Transport: A Meta-analysis of Empirical Studies," OECD Environment Working Papers 113, OECD Publishing.
    10. Guido Marseglia & Carlo Maria Medaglia & Francisco A. Ortega & Juan A. Mesa, 2019. "Optimal Alignments for Designing Urban Transport Systems: Application to Seville," Sustainability, MDPI, vol. 11(18), pages 1-14, September.
    11. Rentziou, Aikaterini & Gkritza, Konstantina & Souleyrette, Reginald R., 2012. "VMT, energy consumption, and GHG emissions forecasting for passenger transportation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(3), pages 487-500.
    12. Fani Samara & Stergios Tampekis & Stavros Sakellariou & Olga Christopoulou & Athanasios Sfougaris, 2015. "The changes of the natural resources access in the small forestry Mediterranean islands: The case study of Skiathos, Greece," Proceedings of International Academic Conferences 2604418, International Institute of Social and Economic Sciences.
    13. Md Amiruzzaman & Ye Zhao & Stefanie Amiruzzaman & Aryn C. Karpinski & Tsung Heng Wu, 2023. "An AI-based framework for studying visual diversity of urban neighborhoods and its relationship with socio-demographic variables," Journal of Computational Social Science, Springer, vol. 6(1), pages 315-337, April.
    14. Pavithra Parthasarathi & David M. Levinson & Ramachandra Karamalaputi, 2003. "Induced Demand: A Microscopic Perspective," Urban Studies, Urban Studies Journal Limited, vol. 40(7), pages 1335-1351, June.
    15. Roelich, Katy & Knoeri, Christof & Steinberger, Julia K. & Varga, Liz & Blythe, Phil T. & Butler, David & Gupta, Rajat & Harrison, Gareth P. & Martin, Chris & Purnell, Phil, 2015. "Towards resource-efficient and service-oriented integrated infrastructure operation," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 40-52.
    16. Choo, Sangho & Mokhtarian, Patricia L, 2004. "Modeling the Individual Consideration of Travel-Related Strategy Bundles," Institute of Transportation Studies, Working Paper Series qt3123v46c, Institute of Transportation Studies, UC Davis.
    17. David Levinson & Ramachandra Karamalaputi, 2003. "Induced Supply: A Model of Highway Network Expansion at the Microscopic Level," Journal of Transport Economics and Policy, University of Bath, vol. 37(3), pages 297-318, September.
    18. Evers, Ruth & Proost, Stef, 2015. "The myth of traffic-responsive signal control: Why common sense does not always make sense," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 350-357.
    19. Nguyen-Phuoc, Duy Q. & Zhou, Meng & Hong Chua, Ming & Romano Alho, André & Oh, Simon & Seshadri, Ravi & Le, Diem-Trinh, 2023. "Examining the effects of Automated Mobility-on-Demand services on public transport systems using an agent-based simulation approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 169(C).
    20. Jihye Byun & Sungjin Park & Kitae Jang, 2017. "Rebound Effect or Induced Demand? Analyzing the Compound Dual Effects on VMT in the U.S," Sustainability, MDPI, vol. 9(2), pages 1-10, February.
    21. Pavithra Parthasarathi & David Levinson, 2008. "Post-Construction Evaluation of Traffic Forecast Accuracy," Working Papers 201005, University of Minnesota: Nexus Research Group.
    22. Jonathan E. Hughes & Daniel Kaffine, 2019. "When Should Drivers Be Encouraged To Carpool In Hov Lanes?," Economic Inquiry, Western Economic Association International, vol. 57(1), pages 667-684, January.
    23. Bucsky, Péter & Juhász, Mattias, 2022. "Long-term evidence on induced traffic: A case study on the relationship between road traffic and capacity of Budapest bridges," Transportation Research Part A: Policy and Practice, Elsevier, vol. 157(C), pages 244-257.
    24. Giuliano, Genevieve & Showalter, Catherine & Yuan, Quan & Zhang, Rui, 2018. "Managing the Impacts of Freight in California," Institute of Transportation Studies, Working Paper Series qt6614p4js, Institute of Transportation Studies, UC Davis.
    25. Deakin, Elizabeth & Dock, Fred & Garry, Gordon & Handy, Susan & McNally, Michael & Sall, Elizabeth & Skabardonis, Alex & Walker, Joan & Rheinhardt, Karl, 2020. "Calculating and Forecasting Induced Vehicle-Miles of Travel Resulting from Highway Projects: Findings and Recommendations from an Expert Panel," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt15d2t2gf, Institute of Transportation Studies, UC Berkeley.
    26. Su, Qing, 2011. "Induced motor vehicle travel from improved fuel efficiency and road expansion," Energy Policy, Elsevier, vol. 39(11), pages 7257-7264.
    27. Park, Jin Suk & Seo, Young-Joon & Ha, Min-Ho, 2019. "The role of maritime, land, and air transportation in economic growth: Panel evidence from OECD and non-OECD countries," Research in Transportation Economics, Elsevier, vol. 78(C).
    28. Qing Su, 2017. "Travel Demand Management Policy Instruments, Urban Spatial Characteristics, and Household Greenhouse Gas Emissions from Travel in the US Urban Areas," International Journal of Energy Economics and Policy, Econjournals, vol. 7(3), pages 157-166.
    29. Choo, Sangho & Mokhtarian, Patricia L., 2007. "Telecommunications and travel demand and supply: Aggregate structural equation models for the US," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(1), pages 4-18, January.
    30. Parry, Ian W.H., 2008. "Pricing Urban Congestion," RFF Working Paper Series dp-08-35, Resources for the Future.
    31. Xiaokun Wang & Kara Kockelman, 2007. "Specification and estimation of a spatially and temporally autocorrelated seemingly unrelated regression model: application to crash rates in China," Transportation, Springer, vol. 34(3), pages 281-300, May.
    32. Beaudoin, Justin & Lin Lawell, C.-Y. Cynthia, 2018. "The effects of public transit supply on the demand for automobile travel," Journal of Environmental Economics and Management, Elsevier, vol. 88(C), pages 447-467.
    33. Weis, Claude & Axhausen, Kay W., 2009. "Induced travel demand: Evidence from a pseudo panel data based structural equations model," Research in Transportation Economics, Elsevier, vol. 25(1), pages 8-18.
    34. Jonathan E. Hughes & Daniel Kaffine, 2013. "When is Encouraging Consumption of Common Property Second Best? Sorting, Congestion and Entry in the Commons," Working Papers 2013-05, Colorado School of Mines, Division of Economics and Business.
    35. Ofentse Mokwena, 2016. "Paratransit Mesoeconomy: Control Measures From The Supply Side?," Proceedings of Economics and Finance Conferences 3205591, International Institute of Social and Economic Sciences.
    36. Yao, Enjian & Morikawa, Takayuki, 2005. "A study of on integrated intercity travel demand model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(4), pages 367-381, May.
    37. Parent, Olivier & LeSage, James P., 2010. "A spatial dynamic panel model with random effects applied to commuting times," Transportation Research Part B: Methodological, Elsevier, vol. 44(5), pages 633-645, June.
    38. Kim, Jinwon, 2022. "Does roadwork improve road speed? Evidence from urban freeways in California," Regional Science and Urban Economics, Elsevier, vol. 93(C).
    39. Lawrence D. Frank & Peter Engelke, 2005. "Multiple Impacts of the Built Environment on Public Health: Walkable Places and the Exposure to Air Pollution," International Regional Science Review, , vol. 28(2), pages 193-216, April.
    40. Börjesson, Maria & Jonsson, R. Daniel & Lundberg, Mattias, 2014. "An ex-post CBA for the Stockholm Metro," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 135-148.
    41. Su, Qing, 2012. "A quantile regression analysis of the rebound effect: Evidence from the 2009 National Household Transportation Survey in the United States," Energy Policy, Elsevier, vol. 45(C), pages 368-377.
    42. Hsu, Wen-Tai & Zhang, Hongliang, 2014. "The fundamental law of highway congestion revisited: Evidence from national expressways in Japan," Journal of Urban Economics, Elsevier, vol. 81(C), pages 65-76.
    43. Choo, Sangho, 2003. "Aggregate Relationships between Telecommunications and Travel: Structural Equation Modeling of Time Series Data," University of California Transportation Center, Working Papers qt4p78h623, University of California Transportation Center.
    44. Zolnik, Edmund J., 2018. "Effects of additional capacity on vehicle kilometers of travel in the U.S.: Evidence from National Household Travel Surveys," Journal of Transport Geography, Elsevier, vol. 66(C), pages 1-9.
    45. Nasri, Arefeh & Zhang, Lei, 2019. "Multi-level urban form and commuting mode share in rail station areas across the United States; a seemingly unrelated regression approach," Transport Policy, Elsevier, vol. 81(C), pages 311-319.
    46. Antipova, Anzhelika & Wilmot, Chester, 2012. "Alternative approaches for reducing congestion in Baton Rouge, Louisiana," Journal of Transport Geography, Elsevier, vol. 24(C), pages 404-410.
    47. McMullen, B. Starr & Eckstein, Nathan, 2013. "Determinants of VMT in Urban Areas: A Panel Study of 87 U.S. Urban Areas 1982-2009," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 52(3).
    48. Choo, Sangho & Mokhtarian, Patricia L. & Salomon, Ilan, 2002. "Impacts of Home-Based Telecommuting on Vehicle-Miles Traveled: A Nationwide Time Series Analysis," Institute of Transportation Studies, Working Paper Series qt2gj976x6, Institute of Transportation Studies, UC Davis.
    49. Siqi Song & Chen-Chieh Feng & Mi Diao, 2020. "Vehicle quota control, transport infrastructure investment and vehicle travel: A pseudo panel analysis," Urban Studies, Urban Studies Journal Limited, vol. 57(12), pages 2527-2546, September.
    50. Hymel, Kent, 2009. "Does traffic congestion reduce employment growth?," Journal of Urban Economics, Elsevier, vol. 65(2), pages 127-135, March.
    51. Phil Goodwin & Robert Noland, 2003. "Building new roads really does create extra traffic: a response to Prakash et al," Applied Economics, Taylor & Francis Journals, vol. 35(13), pages 1451-1457.
    52. Becky P Y Loo, 2003. "Tunnel Traffic and Toll Elasticities in Hong Kong: Some Recent Evidence for International Comparisons," Environment and Planning A, , vol. 35(2), pages 249-276, February.
    53. Angarita-Zapata Juan S. & Andrade-Sosa Hugo H. & Parra-Valencia Jorge A., 2016. "Understanding the Structural Complexity of Induced Travel Demand in Decision-Making: A System Dynamics Approach," Organizacija, Sciendo, vol. 49(3), pages 129-143, August.
    54. González, Rosa Marina & Marrero, Gustavo A., 2012. "Induced road traffic in Spanish regions: A dynamic panel data model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(3), pages 435-445.
    55. Luis Gabriel Carmona & Kai Whiting & Helmut Haberl & Tânia Sousa, 2021. "The use of steel in the United Kingdom's transport sector: A stock–flow–service nexus case study," Journal of Industrial Ecology, Yale University, vol. 25(1), pages 125-143, February.
    56. Su, Qing, 2011. "The effect of population density, road network density, and congestion on household gasoline consumption in U.S. urban areas," Energy Economics, Elsevier, vol. 33(3), pages 445-452, May.
    57. Börjesson, Maria & Jonsson, R. Daniel & Berglund, Svante & Almström, Peter, 2014. "Land-use impacts in transport appraisal," Research in Transportation Economics, Elsevier, vol. 47(C), pages 82-91.
    58. Concas, Sisinnio, 2012. "Highway capital expenditures and induced vehicle travel," MPRA Paper 40757, University Library of Munich, Germany, revised 12 Aug 2012.
    59. Börjesson, Maria & Jonsson, Daniel & Lundberg , Mattias, 2013. "An ex-post CBA for the Stockholm Metro," Working papers in Transport Economics 2013:34, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    60. David Levinson, 2004. "The Evolution of Transport Networks," Working Papers 200510, University of Minnesota: Nexus Research Group.
    61. Su, Qing, 2010. "Travel demand in the US urban areas: A system dynamic panel data approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(2), pages 110-117, February.
    62. Hymel, Kent, 2019. "If you build it, they will drive: Measuring induced demand for vehicle travel in urban areas," Transport Policy, Elsevier, vol. 76(C), pages 57-66.
    63. Dahlgren, Joy, 2001. "How the Reconstruction of I-880 Affected Travel Behavior," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt4xr9v906, Institute of Transportation Studies, UC Berkeley.
    64. Wesley E. Marshall & Eric Dumbaugh, 2020. "Revisiting the relationship between traffic congestion and the economy: a longitudinal examination of U.S. metropolitan areas," Transportation, Springer, vol. 47(1), pages 275-314, February.

  56. Robert Noland & William Cowart, 2000. "Analysis of Metropolitan Highway Capacity and the growth in vehicle miles of travel," Transportation, Springer, vol. 27(4), pages 363-390, December.

    Cited by:

    1. Gilles Duranton & Matthew A. Turner, 2011. "The Fundamental Law of Road Congestion: Evidence from US Cities," American Economic Review, American Economic Association, vol. 101(6), pages 2616-2652, October.
    2. Piyapong Jiwattanakulpaisarn & Robert Noland & Daniel Graham & John Polak, 2006. "Highway Infrastructure Investment and Regional Employment Growth: Dynamic Panel Regression Analysis," ERSA conference papers ersa06p207, European Regional Science Association.
    3. Jean-Paul Rodrigue, 2006. "Challenging the Derived Transport-Demand Thesis: Geographical Issues in Freight Distribution," Environment and Planning A, , vol. 38(8), pages 1449-1462, August.
    4. Patricia Mokhtarian & Francisco Samaniego & Robert Shumway & Neil Willits, 2002. "Revisiting the notion of induced traffic through a matched-pairs study," Transportation, Springer, vol. 29(2), pages 193-220, May.
    5. Alexandros Dimitropoulos & Walid Oueslati & Christina Sintek, 2016. "The Rebound Effect in Road Transport: A Meta-analysis of Empirical Studies," OECD Environment Working Papers 113, OECD Publishing.
    6. Rentziou, Aikaterini & Gkritza, Konstantina & Souleyrette, Reginald R., 2012. "VMT, energy consumption, and GHG emissions forecasting for passenger transportation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(3), pages 487-500.
    7. Patricia C. Melo & Daniel J. Graham, 2017. "Transport-Induced Agglomeration Effects: Evidence for US Metropolitan Areas," Working Papers REM 2017/06, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    8. Jihye Byun & Sungjin Park & Kitae Jang, 2017. "Rebound Effect or Induced Demand? Analyzing the Compound Dual Effects on VMT in the U.S," Sustainability, MDPI, vol. 9(2), pages 1-10, February.
    9. Rahman, Mohammad Lutfur & Baker, Douglas, 2018. "Modelling induced mode switch behaviour in Bangladesh: A multinomial logistic regression approach," Transport Policy, Elsevier, vol. 71(C), pages 81-91.
    10. Qing Su, 2017. "Travel Demand Management Policy Instruments, Urban Spatial Characteristics, and Household Greenhouse Gas Emissions from Travel in the US Urban Areas," International Journal of Energy Economics and Policy, Econjournals, vol. 7(3), pages 157-166.
    11. Weis, Claude & Axhausen, Kay W., 2009. "Induced travel demand: Evidence from a pseudo panel data based structural equations model," Research in Transportation Economics, Elsevier, vol. 25(1), pages 8-18.
    12. Faghih-Imani, Ahmadreza & Eluru, Naveen, 2016. "Determining the role of bicycle sharing system infrastructure installation decision on usage: Case study of montreal BIXI system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 685-698.
    13. Yao, Enjian & Morikawa, Takayuki, 2005. "A study of on integrated intercity travel demand model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(4), pages 367-381, May.
    14. Motamedi, Sina, 2016. "The Effect of Changes in Fuel Prices on the Use of Road Transportation in Ontario," 57th Transportation Research Forum (51st CTRF) Joint Conference, Toronto, Ontario, May 1-4, 2016 319275, Transportation Research Forum.
    15. Kim, Jinwon, 2022. "Does roadwork improve road speed? Evidence from urban freeways in California," Regional Science and Urban Economics, Elsevier, vol. 93(C).
    16. Hejun Kang & Darren M Scott & Pavlos S Kanaroglou & Hanna F Maoh, 2009. "An Exploration of Issues Related to the Study of Generated Traffic and other Impacts Arising from Highway Improvements," Environment and Planning B, , vol. 36(1), pages 67-85, February.
    17. Volker, Jamey M. B. & Handy, Susan L., 2022. "Updating the Induced Travel Calculator," Institute of Transportation Studies, Working Paper Series qt1hh9b9mf, Institute of Transportation Studies, UC Davis.
    18. Hsu, Wen-Tai & Zhang, Hongliang, 2014. "The fundamental law of highway congestion revisited: Evidence from national expressways in Japan," Journal of Urban Economics, Elsevier, vol. 81(C), pages 65-76.
    19. Zolnik, Edmund J., 2018. "Effects of additional capacity on vehicle kilometers of travel in the U.S.: Evidence from National Household Travel Surveys," Journal of Transport Geography, Elsevier, vol. 66(C), pages 1-9.
    20. Woldeamanuel, Mintesnot & Kent, Andrew, 2014. "Determinants of Per Capita Vehicle Miles Traveled (VMT): The Case of California," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 53(3).
    21. Cervero, Robert, 2001. "Induced Demand: An Urban Metropolitan Perspective," University of California Transportation Center, Working Papers qt5pj337gw, University of California Transportation Center.
    22. McMullen, B. Starr & Eckstein, Nathan, 2013. "Determinants of VMT in Urban Areas: A Panel Study of 87 U.S. Urban Areas 1982-2009," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 52(3).
    23. Choo, Sangho & Mokhtarian, Patricia L. & Salomon, Ilan, 2002. "Impacts of Home-Based Telecommuting on Vehicle-Miles Traveled: A Nationwide Time Series Analysis," Institute of Transportation Studies, Working Paper Series qt2gj976x6, Institute of Transportation Studies, UC Davis.
    24. Daniel A. Rodriguez & Felipe Targa & Semra A. Aytur, 2006. "Transport Implications of Urban Containment Policies: A Study of the Largest Twenty-five US Metropolitan Areas," Urban Studies, Urban Studies Journal Limited, vol. 43(10), pages 1879-1897, September.
    25. Phil Goodwin & Robert Noland, 2003. "Building new roads really does create extra traffic: a response to Prakash et al," Applied Economics, Taylor & Francis Journals, vol. 35(13), pages 1451-1457.
    26. Yao Wu & David Levinson, 2005. "The Rational Locator Reexamined," Working Papers 200503, University of Minnesota: Nexus Research Group.
    27. Cervero, Robert, 2001. "Road Expansion, Urban Growth, and Induced Travel: A Path Analysis," University of California Transportation Center, Working Papers qt05x370hr, University of California Transportation Center.
    28. Becky P Y Loo, 2003. "Tunnel Traffic and Toll Elasticities in Hong Kong: Some Recent Evidence for International Comparisons," Environment and Planning A, , vol. 35(2), pages 249-276, February.
    29. Angarita-Zapata Juan S. & Andrade-Sosa Hugo H. & Parra-Valencia Jorge A., 2016. "Understanding the Structural Complexity of Induced Travel Demand in Decision-Making: A System Dynamics Approach," Organizacija, Sciendo, vol. 49(3), pages 129-143, August.
    30. Philip Heidt & M. Taha Kasim, 2020. "The effects of highways on school segregation," Papers in Regional Science, Wiley Blackwell, vol. 99(5), pages 1261-1280, October.
    31. González, Rosa Marina & Marrero, Gustavo A., 2012. "Induced road traffic in Spanish regions: A dynamic panel data model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(3), pages 435-445.
    32. David Levinson & Seshasai Kanchi, 2002. "Road Capacity and the Allocation of Time," Working Papers 200203, University of Minnesota: Nexus Research Group.
    33. D. Jingyuan I. & L. Chong I. & L. Marsiliani & D. Jingyuan I. & L. Chong I. & L. Marsiliani, 2018. "Взаимосвязь между экономическим ростом и окружающей средой в Пекине на основе показателя PM2.5 // The Relationship between Growth and the Environment in Beijing, Using PM2.5 Concentrations," Review of Business and Economics Studies // Review of Business and Economics Studies, Финансовый Университет // Financial University, vol. 6(2), pages 5-18.
    34. Su, Qing, 2011. "The effect of population density, road network density, and congestion on household gasoline consumption in U.S. urban areas," Energy Economics, Elsevier, vol. 33(3), pages 445-452, May.
    35. David Levinson & Yao Wu, 2005. "The rational locator reexamined: Are travel times still stable?," Transportation, Springer, vol. 32(2), pages 187-202, March.
    36. Keiko Hirota & Jacques Poot, 2003. "Do policy incentives affect the environmental impact of private car use? Evidence from a sample of large cities," ERSA conference papers ersa03p493, European Regional Science Association.
    37. Hymel, Kent, 2019. "If you build it, they will drive: Measuring induced demand for vehicle travel in urban areas," Transport Policy, Elsevier, vol. 76(C), pages 57-66.

  57. Noland, Robert B. & Small, Kenneth A. & Koskenoja, Pia Maria & Chu, Xuehao, 1998. "Simulating travel reliability," Regional Science and Urban Economics, Elsevier, vol. 28(5), pages 535-564, September.
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  58. Noland, Robert B., 1997. "Commuter Responses to Travel Time Uncertainty under Congested Conditions: Expected Costs and the Provision of Information," Journal of Urban Economics, Elsevier, vol. 41(3), pages 377-406, May.

    Cited by:

    1. Matthias Sweet & Mengke Chen, 2011. "Does regional travel time unreliability influence mode choice?," Transportation, Springer, vol. 38(4), pages 625-642, July.
    2. Noland, R.B. & Small, K.A. & Koskenoja, P.M. & Chu, X., 1996. "Simulating Travel Reliability," Papers 95-96-7, California Irvine - School of Social Sciences.
    3. Babri, Sahar & McArthur, David Philip & Thorsen, Inge & Ubøe, Jan, 2014. "Modelling social welfare effects of relocation and road pricing," Discussion Papers 2014/42, Norwegian School of Economics, Department of Business and Management Science.
    4. R. Arnott & A. de Palma & R. Lindsey, 1997. "Information and time-of-usage decisions in the bottleneck model with stochastic capacity and demand," THEMA Working Papers 97-13, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    5. Xiao, Yu & Coulombel, Nicolas & Palma, André de, 2017. "The valuation of travel time reliability: does congestion matter?," Transportation Research Part B: Methodological, Elsevier, vol. 97(C), pages 113-141.
    6. McArthur, D.P. & Thorsen, I. & Ubøe, J., 2012. "Labour market effects in assessing the costs and benefits of road pricing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(2), pages 310-321.
    7. McArthur, David Philip & Thorsen, Inge & Ubøe, Jan, 2009. "Congested Interregional Infrastructure, Road Pricing and Regional Labour Markets," Discussion Papers 2009/3, Norwegian School of Economics, Department of Business and Management Science.
    8. Berdica, Katja, 2002. "An introduction to road vulnerability: what has been done, is done and should be done," Transport Policy, Elsevier, vol. 9(2), pages 117-127, April.
    9. Keumi, Chikako & Murakami, Hideki, 2012. "The role of schedule delays on passengers’ choice of access modes: A case study of Japan’s international hub airports," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(5), pages 1023-1031.
    10. Babri, Sahar & McArthur, David Philip & Thorsen, Inge & Ubøe, Jan, 2013. "Optimum congestion pricing in a complex network," Discussion Papers 2013/4, Norwegian School of Economics, Department of Business and Management Science.
    11. Fosgerau, Mogens & Lindsey, Robin, 2013. "Trip-timing decisions with traffic incidents," MPRA Paper 48708, University Library of Munich, Germany.
    12. Chikako Keumi & Hideki Murakami, 2010. "Role of schedule delays on passengers' choice of access modes: A case of Japan' s international airport," Discussion Papers 2010-59, Kobe University, Graduate School of Business Administration.
    13. Zhi (Aaron) Cheng & Min-Seok Pang & Paul A. Pavlou, 2020. "Mitigating Traffic Congestion: The Role of Intelligent Transportation Systems," Information Systems Research, INFORMS, vol. 31(3), pages 653-674, September.
    14. Irene Casas & Mei‐Po Kwan, 2007. "The Impact of Real‐Time Information on Choices During the Commute Trip: Evidence from a Travel Simulator," Growth and Change, Wiley Blackwell, vol. 38(4), pages 523-543, December.
    15. Li, Zhi-Chun & Huang, Hai-Jun & Yang, Hai, 2020. "Fifty years of the bottleneck model: A bibliometric review and future research directions," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 311-342.
    16. Christian Schmidt, 2014. "Optimal Commuting and Migration Decisions under Commuting Cost Uncertainty," Urban Studies, Urban Studies Journal Limited, vol. 51(3), pages 477-492, February.
    17. Hall, Jonathan D. & Savage, Ian, 2019. "Tolling roads to improve reliability," Journal of Urban Economics, Elsevier, vol. 113(C).

  59. Noland, Robert B & Kunreuther, Howard, 1995. "Short-run and long-run policies for increasing bicycle transportation for daily commuter trips," Transport Policy, Elsevier, vol. 2(1), pages 67-79, January.

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    1. Mora, Rodrigo & Truffello, Ricardo & Oyarzún, Gabriel, 2021. "Equity and accessibility of cycling infrastructure: An analysis of Santiago de Chile," Journal of Transport Geography, Elsevier, vol. 91(C).
    2. Bandhan Bandhu Majumdar & Sudeshna Mitra, 2019. "A study on route choice preferences for commuter and non-commuter bicyclists: a case study of Kharagpur and Asansol, India," Transportation, Springer, vol. 46(5), pages 1839-1865, October.
    3. Mahdi Rashidi & Seyed-Mohammad Seyedhosseini & Ali Naderan, 2023. "Defining Psychological Factors of Cycling in Tehran City," Sustainability, MDPI, vol. 15(4), pages 1-17, February.
    4. Lovelace, R. & Beck, S.B.M. & Watson, M. & Wild, A., 2011. "Assessing the energy implications of replacing car trips with bicycle trips in Sheffield, UK," Energy Policy, Elsevier, vol. 39(4), pages 2075-2087, April.
    5. Ortúzar, Juan de Dios & Iacobelli, Andrés & Valeze, Claudio, 2000. "Estimating demand for a cycle-way network," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(5), pages 353-373, June.
    6. Noland, Robert B., 2013. "From theory to practice in road safety policy: Understanding risk versus mobility," Research in Transportation Economics, Elsevier, vol. 43(1), pages 71-84.
    7. Nkurunziza, Alphonse & Zuidgeest, Mark & Brussel, Mark & Van Maarseveen, Martin, 2012. "Examining the potential for modal change: Motivators and barriers for bicycle commuting in Dar-es-Salaam," Transport Policy, Elsevier, vol. 24(C), pages 249-259.
    8. Zachary Shahan, 2007. "The Relationship between Bicycling Facilities and Bicycle Travel: A Comparative Study in the United States and the Netherlands," NEURUS papers neurusp107, NEURUS - Network of European and US Regional and Urban Studies.
    9. Sælensminde, Kjartan, 2004. "Cost-benefit analyses of walking and cycling track networks taking into account insecurity, health effects and external costs of motorized traffic," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(8), pages 593-606, October.
    10. Álvaro Fernández-Heredia & Sergio Jara-Díaz & Andrés Monzón, 2016. "Modelling bicycle use intention: the role of perceptions," Transportation, Springer, vol. 43(1), pages 1-23, January.
    11. Li, Zhibin & Wang, Wei & Yang, Chen & Jiang, Guojun, 2013. "Exploring the causal relationship between bicycle choice and trip chain pattern," Transport Policy, Elsevier, vol. 29(C), pages 170-177.
    12. Eva Heinen & Kees Maat & Bert Wee, 2013. "The effect of work-related factors on the bicycle commute mode choice in the Netherlands," Transportation, Springer, vol. 40(1), pages 23-43, January.
    13. Verma, Meghna & Rahul, T.M. & Vinayak, Pragun & Verma, Ashish, 2018. "Influence of childhood and adulthood attitudinal perceptions on bicycle usage in the Bangalore city," Journal of Transport Geography, Elsevier, vol. 72(C), pages 94-105.
    14. Wardman, Mark & Tight, Miles & Page, Matthew, 2007. "Factors influencing the propensity to cycle to work," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(4), pages 339-350, May.
    15. Ma, Liang & Ye, Runing, 2019. "Does daily commuting behavior matter to employee productivity?," Journal of Transport Geography, Elsevier, vol. 76(C), pages 130-141.
    16. Arne R. Hole & Felix R. FitzRoy, 2003. "Commuting in small towns in rural areas: the case of St Andrews," Urban/Regional 0312001, University Library of Munich, Germany, revised 12 Apr 2004.
    17. Santos, Georgina & Behrendt, Hannah & Teytelboym, Alexander, 2010. "Part II: Policy instruments for sustainable road transport," Research in Transportation Economics, Elsevier, vol. 28(1), pages 46-91.
    18. Ruiz, Tomás & Bernabé, José C., 2014. "Measuring factors influencing valuation of nonmotorized improvement measures," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 195-211.
    19. Sungyop Kim & Gudmundur Ulfarsson, 2008. "Curbing automobile use for sustainable transportation: analysis of mode choice on short home-based trips," Transportation, Springer, vol. 35(6), pages 723-737, November.
    20. Frondel, Manuel & Vance, Colin, 2017. "Cycling on the extensive and intensive margin: The role of paths and prices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 104(C), pages 21-31.
    21. Rahul, T.M. & Verma, Ashish, 2014. "A study of acceptable trip distances using walking and cycling in Bangalore," Journal of Transport Geography, Elsevier, vol. 38(C), pages 106-113.
    22. Sarah J. Bundy Kirkpatrick, 2018. "Pedaling disaster: citizen bicyclists in disaster response—Innovative solution or unnecessary effort?," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 90(1), pages 365-389, January.
    23. Wardman, Mark & Hatfield, Richard & Page, Matthew, 1997. "The UK national cycling strategy: can improved facilities meet the targets?," Transport Policy, Elsevier, vol. 4(2), pages 123-133, April.
    24. Li, Zhibin & Wang, Wei & Yang, Chen & Ragland, David R., 2013. "Bicycle commuting market analysis using attitudinal market segmentation approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 47(C), pages 56-68.
    25. Khashayar Kazemzadeh & Aliaksei Laureshyn & Lena Winslott Hiselius & Enrico Ronchi, 2020. "Expanding the Scope of the Bicycle Level-of-Service Concept: A Review of the Literature," Sustainability, MDPI, vol. 12(7), pages 1-30, April.
    26. Mohiuddin, Hossain & Fitch, Dillon & Handy, Susan, 2022. "Examining Market Segmentation to Increase Bike-Share Use: The Case of the Greater Sacramento Region," Institute of Transportation Studies, Working Paper Series qt71h6g0td, Institute of Transportation Studies, UC Davis.
    27. Braun, Lindsay M. & Rodriguez, Daniel A. & Cole-Hunter, Tom & Ambros, Albert & Donaire-Gonzalez, David & Jerrett, Michael & Mendez, Michelle A. & Nieuwenhuijsen, Mark J. & de Nazelle, Audrey, 2016. "Short-term planning and policy interventions to promote cycling in urban centers: Findings from a commute mode choice analysis in Barcelona, Spain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 89(C), pages 164-183.
    28. Hyochul Park & Yong Lee & Hee Shin & Keemin Sohn, 2011. "Analyzing the time frame for the transition from leisure-cyclist to commuter-cyclist," Transportation, Springer, vol. 38(2), pages 305-319, March.
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    30. Umer Mansoor & Mohammad Tamim Kashifi & Fazal Rehman Safi & Syed Masiur Rahman, 2022. "A review of factors and benefits of non-motorized transport: a way forward for developing countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 1560-1582, February.
    31. Alexander Petre & Jeffrey Wagner, 2013. "Green Consumption under Misperceived Prices: An Application to Active Transportation," Southern Economic Journal, John Wiley & Sons, vol. 80(1), pages 187-204, July.
    32. Ralph Buehler & John Pucher, 2012. "Cycling to work in 90 large American cities: new evidence on the role of bike paths and lanes," Transportation, Springer, vol. 39(2), pages 409-432, March.
    33. Majumdar, Bandhan Bandhu & Mitra, Sudeshna, 2018. "Analysis of bicycle route-related improvement strategies for two Indian cities using a stated preference survey," Transport Policy, Elsevier, vol. 63(C), pages 176-188.
    34. Hema S Rayaprolu & Carlos Llorca & Rolf Moeckel, 2020. "Impact of bicycle highways on commuter mode choice: A scenario analysis," Environment and Planning B, , vol. 47(4), pages 662-677, May.

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