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Lars-Göran Mattsson
(Lars-Goran Mattsson)

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. Hårsman, Björn & Mattsson, Lars-Göran & Hovsepyan, Vardan, 2017. "The income return to entrepreneurship – theoretical model and outcomes for Swedish regions," Working Paper Series in Economics and Institutions of Innovation 463, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.

    Cited by:

    1. Hårsman, Björn & Mattsson, Lars-Göran, 2019. "Reconsidering the returns to entrepreneurship: Applying a modified version of Lazear’s occupational choice model," Working Paper Series in Economics and Institutions of Innovation 478, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    2. Vladimir Hlasny, 2020. "Parametric Representation of the Top of Income Distributions: Options, Historical Evidence and Model Selection," Commitment to Equity (CEQ) Working Paper Series 90, Tulane University, Department of Economics.
    3. Björn Hårsman & Lars-Göran Mattsson, 2021. "Analyzing the returns to entrepreneurship by a modified Lazear model," Small Business Economics, Springer, vol. 57(4), pages 1875-1892, December.

  2. Hårsman, Björn & Mattsson, Lars-Göran, 2017. "Resolving the entrepreneurship puzzle: Applying Fréchet distributions to Lazear’s occupational choice model," Working Paper Series in Economics and Institutions of Innovation 458, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies, revised 22 Feb 2018.

    Cited by:

    1. Björn Hårsman & Lars-Göran Mattsson & Vardan Hovsepyan, 2018. "The income return to entrepreneurship: theoretical model and outcomes for Swedish regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 61(3), pages 479-498, November.

  3. Erik Jenelius & Lars-Goran Mattsson & David Levinson, 2010. "The traveler costs of unplanned transport network disruptions: An activity-based modeling approach," Working Papers 201104, University of Minnesota: Nexus Research Group.

    Cited by:

    1. Alireza Mostafizi & Haizhong Wang & Dan Cox & Lori A. Cramer & Shangjia Dong, 2017. "Agent-based tsunami evacuation modeling of unplanned network disruptions for evidence-driven resource allocation and retrofitting strategies," 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. 88(3), pages 1347-1372, September.

  4. Mattsson, Lars-Göran & Voorneveld, Mark & Weibull, Jörgen W., 2004. "Better may be worse: Some monotonicity results and paradoxes in discrete choice," SSE/EFI Working Paper Series in Economics and Finance 558, Stockholm School of Economics, revised 13 Sep 2006.

    Cited by:

    1. Nikolaus Hautsch & Dieter Hess & Christoph Müller, 2008. "Price Adjustment to News with Uncertain Precision," FRU Working Papers 2008/01, University of Copenhagen. Department of Economics. Finance Research Unit.
    2. Alisdair McKay & Filip Matejka, 2011. "Rational Inattention to Discrete Choices: A New Foundation for the Multinomial Logit Model," 2011 Meeting Papers 535, Society for Economic Dynamics.

  5. Mattsson, Lars-Goeran & Sjoelin, Lina, 2002. "Transport and location effects of a ring road with or without road pricing," ERSA conference papers ersa02p056, European Regional Science Association.

    Cited by:

    1. Tillema, Taede & van Wee, Bert & Ettema, Dick, 2010. "The influence of (toll-related) travel costs in residential location decisions of households: A stated choice approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(10), pages 785-796, December.

  6. Staffan Algers & Jonas Eliasson & Lars-Göran Mattsson, 2001. "Activity-based model development to support transport planning in the Stockholm region," ERSA conference papers ersa01p19, European Regional Science Association.

    Cited by:

    1. Xueming Chen, 2012. "Statistical and activity-based modeling of university student travel behavior," Transportation Planning and Technology, Taylor & Francis Journals, vol. 35(5), pages 591-610, March.

  7. Mattsson, Lars-Göran & Weibull, Jörgen W., 2000. "Probabilistic Choice as a Result of Mistakes," Working Paper Series 544, Research Institute of Industrial Economics.

    Cited by:

    1. Mattsson, Lars-Goran & Weibull, Jorgen W., 2002. "Probabilistic choice and procedurally bounded rationality," Games and Economic Behavior, Elsevier, vol. 41(1), pages 61-78, October.

  8. Mattsson, Lars-Göran & Weibull, Jörgen W., 2000. "Probabilistic Choice as a Result of Mistakes," Working Paper Series 544, Research Institute of Industrial Economics.

    Cited by:

    1. Mattsson, Lars-Goran & Weibull, Jorgen W., 2002. "Probabilistic choice and procedurally bounded rationality," Games and Economic Behavior, Elsevier, vol. 41(1), pages 61-78, October.

  9. Höjer, Mattias & Mattsson, Lars-Göran, 1999. "Determinism and backcasting in futures studies," ERSA conference papers ersa99pa286, European Regional Science Association.

    Cited by:

    1. Alexandra Köves & Gábor Király & György Pataki & Bálint Balázs, 2013. "Backcasting for Sustainable Employment: A Hungarian Experience," Sustainability, MDPI, vol. 5(7), pages 1-15, July.

Articles

  1. Björn Hårsman & Lars-Göran Mattsson, 2021. "Analyzing the returns to entrepreneurship by a modified Lazear model," Small Business Economics, Springer, vol. 57(4), pages 1875-1892, December.

    Cited by:

    1. Michele Dell'Era & Luca David Opromolla & Luís Santos‐Pinto, 2023. "Can optimism solve the entrepreneurial earnings puzzle?," Scandinavian Journal of Economics, Wiley Blackwell, vol. 125(1), pages 139-169, January.

  2. Björn Hårsman & Lars-Göran Mattsson & Vardan Hovsepyan, 2018. "The income return to entrepreneurship: theoretical model and outcomes for Swedish regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 61(3), pages 479-498, November.
    See citations under working paper version above.
  3. Fosgerau, Mogens & Lindberg, Per Olov & Mattsson, Lars-Göran & Weibull, Jörgen, 2018. "A note on the invariance of the distribution of the maximum," Journal of Mathematical Economics, Elsevier, vol. 74(C), pages 56-61.

    Cited by:

    1. Mogens Fosgerau & Emerson Melo & Matthew Shum & Jesper R.-V. Sørensen, 2021. "Some Remarks on CCP-based Estimators of Dynamic Models," Discussion Papers 21-03, University of Copenhagen. Department of Economics.

  4. Benjamin Donald Oakes & Lars‐Göran Mattsson & Per Näsman & Andrés Alayón Glazunov, 2018. "A Systems‐Based Risk Assessment Framework for Intentional Electromagnetic Interference (IEMI) on Critical Infrastructures," Risk Analysis, John Wiley & Sons, vol. 38(6), pages 1279-1305, June.

    Cited by:

    1. Wu, Di & Yan, Xiangbin & Peng, Rui & Wu, Shaomin, 2020. "Risk-attitude-based defense strategy considering proactive strike, preventive strike and imperfect false targets," Reliability Engineering and System Safety, Elsevier, vol. 196(C).

  5. Björn Hårsman & Lars-Göran Mattsson & Vardan Hovsepyan, 2018. "Corrections to: The income return to entrepreneurship: theoretical model and outcomes for Swedish regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 61(3), pages 499-499, November.

    Cited by:

    1. Hårsman, Björn & Mattsson, Lars-Göran, 2019. "Reconsidering the returns to entrepreneurship: Applying a modified version of Lazear’s occupational choice model," Working Paper Series in Economics and Institutions of Innovation 478, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    2. Vladimir Hlasny, 2020. "Parametric Representation of the Top of Income Distributions: Options, Historical Evidence and Model Selection," Commitment to Equity (CEQ) Working Paper Series 90, Tulane University, Department of Economics.
    3. Björn Hårsman & Lars-Göran Mattsson, 2021. "Analyzing the returns to entrepreneurship by a modified Lazear model," Small Business Economics, Springer, vol. 57(4), pages 1875-1892, December.

  6. Mattsson, Lars-Göran & Weibull, Jörgen W. & Lindberg, Per Olov, 2014. "Extreme values, invariance and choice probabilities," Transportation Research Part B: Methodological, Elsevier, vol. 59(C), pages 81-95.

    Cited by:

    1. Björn Hårsman & Lars-Göran Mattsson & Vardan Hovsepyan, 2018. "The income return to entrepreneurship: theoretical model and outcomes for Swedish regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 61(3), pages 479-498, November.
    2. Hårsman, Björn & Mattsson, Lars-Göran, 2019. "Reconsidering the returns to entrepreneurship: Applying a modified version of Lazear’s occupational choice model," Working Paper Series in Economics and Institutions of Innovation 478, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    3. Mattsson, Lars-Göran & Weibull, Jörgen W., 2023. "An analytically solvable principal-agent model," Games and Economic Behavior, Elsevier, vol. 140(C), pages 33-49.
    4. Tinessa, Fiore & Marzano, Vittorio & Papola, Andrea, 2020. "Mixing distributions of tastes with a Combination of Nested Logit (CoNL) kernel: Formulation and performance analysis," Transportation Research Part B: Methodological, Elsevier, vol. 141(C), pages 1-23.
    5. Hårsman, Björn & Mattsson, Lars-Göran, 2017. "Resolving the entrepreneurship puzzle: Applying Fréchet distributions to Lazear’s occupational choice model," Working Paper Series in Economics and Institutions of Innovation 458, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies, revised 22 Feb 2018.
    6. del Castillo, J.M., 2016. "A class of RUM choice models that includes the model in which the utility has logistic distributed errors," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 1-20.
    7. Marzano, Vittorio, 2014. "A simple procedure for the calculation of the covariances of any Generalized Extreme Value model," Transportation Research Part B: Methodological, Elsevier, vol. 70(C), pages 151-162.
    8. Fosgerau, Mogens & Lindberg, Per Olov & Mattsson, Lars-Göran & Weibull, Jörgen, 2015. "Invariance of the distribution of the maximum," MPRA Paper 63529, University Library of Munich, Germany.
    9. Papola, Andrea, 2016. "A new random utility model with flexible correlation pattern and closed-form covariance expression: The CoRUM," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 80-96.
    10. Fosgerau, Mogens & Lindberg, Per Olov & Mattsson, Lars-Göran & Weibull, Jörgen, 2018. "A note on the invariance of the distribution of the maximum," Journal of Mathematical Economics, Elsevier, vol. 74(C), pages 56-61.
    11. Behrens, Kristian & Murata, Yasusada, 2021. "On quantitative spatial economic models," Journal of Urban Economics, Elsevier, vol. 123(C).
    12. Björn Hårsman & Lars-Göran Mattsson, 2021. "Analyzing the returns to entrepreneurship by a modified Lazear model," Small Business Economics, Springer, vol. 57(4), pages 1875-1892, December.
    13. Chikaraishi, Makoto & Nakayama, Shoichiro, 2016. "Discrete choice models with q-product random utilities," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 576-595.
    14. Siskos, Pelopidas & Capros, Pantelis & De Vita, Alessia, 2015. "CO2 and energy efficiency car standards in the EU in the context of a decarbonisation strategy: A model-based policy assessment," Energy Policy, Elsevier, vol. 84(C), pages 22-34.
    15. Brathwaite, Timothy & Walker, Joan L., 2018. "Asymmetric, closed-form, finite-parameter models of multinomial choice," Journal of choice modelling, Elsevier, vol. 29(C), pages 78-112.
    16. Tinessa, Fiore, 2021. "Closed-form random utility models with mixture distributions of random utilities: Exploring finite mixtures of qGEV models," Transportation Research Part B: Methodological, Elsevier, vol. 146(C), pages 262-288.
    17. Li, Dawei & Feng, Siqi & Song, Yuchen & Lai, Xinjun & Bekhor, Shlomo, 2023. "Asymmetric closed-form route choice models: Formulations and comparative applications," Transportation Research Part A: Policy and Practice, Elsevier, vol. 171(C).
    18. Siskos, Pelopidas & Moysoglou, Yannis, 2019. "Assessing the impacts of setting CO2 emission targets on truck manufacturers: A model implementation and application for the EU," Transportation Research Part A: Policy and Practice, Elsevier, vol. 125(C), pages 123-138.
    19. Francisco Martínez, 2016. "Cities’ power laws: the stochastic scaling factor," Environment and Planning B, , vol. 43(2), pages 257-275, March.
    20. Fosgerau, Mogens & Ranjan, Abhishek, 2017. "A note on identification in discrete choice models with partial observability," MPRA Paper 76800, University Library of Munich, Germany.
    21. D. Pennesi, 2016. "Intertemporal discrete choice," Working Papers wp1061, Dipartimento Scienze Economiche, Universita' di Bologna.
    22. Gu, Yu & Chen, Anthony & Kitthamkesorn, Songyot, 2022. "Weibit choice models: Properties, mode choice application and graphical illustrations," Journal of choice modelling, Elsevier, vol. 44(C).

  7. Jenelius, Erik & Mattsson, Lars-Göran, 2012. "Road network vulnerability analysis of area-covering disruptions: A grid-based approach with case study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(5), pages 746-760.

    Cited by:

    1. Suwan Shen & Xi Feng & Zhong Ren Peng, 2016. "A framework to analyze vulnerability of critical infrastructure to climate change: the case of a coastal community in Florida," 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. 84(1), pages 589-609, October.
    2. DiPietro, Gwen Shepherd & Scott Matthews, H. & Hendrickson, Chris T., 2014. "Estimating economic and resilience consequences of potential navigation infrastructure failures: A case study of the Monongahela River," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 142-164.
    3. Alireza Mostafizi & Haizhong Wang & Dan Cox & Lori A. Cramer & Shangjia Dong, 2017. "Agent-based tsunami evacuation modeling of unplanned network disruptions for evidence-driven resource allocation and retrofitting strategies," 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. 88(3), pages 1347-1372, September.
    4. Oliveira, Eduardo Leal de & Portugal, Licínio da Silva & Porto Junior, Walter, 2016. "Indicators of reliability and vulnerability: Similarities and differences in ranking links of a complex road system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 195-208.
    5. Jing Liu & Huapu Lu & He Ma & Wenzhi Liu, 2017. "Network Vulnerability Analysis of Rail Transit Plans in Beijng-Tianjin-Hebei Region Considering Connectivity Reliability," Sustainability, MDPI, vol. 9(8), pages 1-17, August.
    6. MD Jahedul Alam & Muhammad Ahsanul Habib, 2021. "Mass evacuation microsimulation modeling considering traffic disruptions," 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. 108(1), pages 323-346, August.
    7. Li, Tao & Rong, Lili, 2022. "Spatiotemporally complementary effect of high-speed rail network on robustness of aviation network," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 95-114.
    8. Demirel, Hande & Kompil, Mert & Nemry, Françoise, 2015. "A framework to analyze the vulnerability of European road networks due to Sea-Level Rise (SLR) and sea storm surges," Transportation Research Part A: Policy and Practice, Elsevier, vol. 81(C), pages 62-76.
    9. Chao Fang & Piao Dong & Yi-Ping Fang & Enrico Zio, 2020. "Vulnerability analysis of critical infrastructure under disruptions: An application to China Railway High-speed," Journal of Risk and Reliability, , vol. 234(2), pages 235-245, April.
    10. Shrestha, Jagat K. & Benta, Agostinho & Lopes, Rui B. & Lopes, Nuno, 2014. "A multi-objective analysis of a rural road network problem in the hilly regions of Nepal," Transportation Research Part A: Policy and Practice, Elsevier, vol. 64(C), pages 43-53.
    11. Almotahari, Amirmasoud & Yazici, M. Anil, 2019. "A link criticality index embedded in the convex combinations solution of user equilibrium traffic assignment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 67-82.
    12. Oded Cats & Erik Jenelius, 2014. "Dynamic Vulnerability Analysis of Public Transport Networks: Mitigation Effects of Real-Time Information," Networks and Spatial Economics, Springer, vol. 14(3), pages 435-463, December.
    13. Dowds, Jonathan & Aultman-Hall, Lisa, 2015. "Challenges and Opportunities for Integrating Climate Adaptation Efforts across State, Regional and Local Transportation Agencies," Institute of Transportation Studies, Working Paper Series qt5t88h66m, Institute of Transportation Studies, UC Davis.
    14. D. Alexakis & A. Agapiou & M. Tzouvaras & K. Themistocleous & K. Neocleous & S. Michaelides & D. Hadjimitsis, 2014. "Integrated use of GIS and remote sensing for monitoring landslides in transportation pavements: the case study of Paphos area in Cyprus," 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. 72(1), pages 119-141, May.
    15. Bucar, Raif C.B. & Hayeri, Yeganeh M., 2020. "Quantitative assessment of the impacts of disruptive precipitation on surface transportation," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    16. Darayi, Mohamad & Barker, Kash & Nicholson, Charles D., 2019. "A multi-industry economic impact perspective on adaptive capacity planning in a freight transportation network," International Journal of Production Economics, Elsevier, vol. 208(C), pages 356-368.
    17. Linjun Lu & Qing-Chang Lu & ABM Sertajur Rahman, 2015. "Residence and Job Location Change Choice Behavior under Flooding and Cyclone Impacts in Bangladesh," Sustainability, MDPI, vol. 7(9), pages 1-20, August.
    18. Martijn Warnier & Vincent Alkema & Tina Comes & Bartel Walle, 2020. "Humanitarian access, interrupted: dynamic near real-time network analytics and mapping for reaching communities in disaster-affected countries," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(3), pages 815-834, September.
    19. Pan, Shouzheng & Yan, Hai & He, Jia & He, Zhengbing, 2021. "Vulnerability and resilience of transportation systems: A recent literature review," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).
    20. Victor Cantillo & Luis F. Macea & Miguel Jaller, 2019. "Assessing Vulnerability of Transportation Networks for Disaster Response Operations," Networks and Spatial Economics, Springer, vol. 19(1), pages 243-273, March.
    21. Cats, Oded & Koppenol, Gert-Jaap & Warnier, Martijn, 2017. "Robustness assessment of link capacity reduction for complex networks: Application for public transport systems," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 544-553.
    22. Muriel-Villegas, Juan E. & Alvarez-Uribe, Karla C. & Patiño-Rodríguez, Carmen E. & Villegas, Juan G., 2016. "Analysis of transportation networks subject to natural hazards – Insights from a Colombian case," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 151-165.
    23. Mühlhofer, Evelyn & Koks, Elco E. & Kropf, Chahan M. & Sansavini, Giovanni & Bresch, David N., 2023. "A generalized natural hazard risk modelling framework for infrastructure failure cascades," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    24. Li, Tao & Rong, Lili & Yan, Kesheng, 2019. "Vulnerability analysis and critical area identification of public transport system: A case of high-speed rail and air transport coupling system in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 127(C), pages 55-70.
    25. Juan Carlos García-Palomares & Javier Gutiérrez & Juan Carlos Martín & Borja Moya-Gómez, 2018. "An analysis of the Spanish high capacity road network criticality," Transportation, Springer, vol. 45(4), pages 1139-1159, July.
    26. Malandri, Caterina & Mantecchini, Luca & Postorino, Maria Nadia, 2023. "A comprehensive approach to assess transportation system resilience towards disruptive events. Case study on airside airport systems," Transport Policy, Elsevier, vol. 139(C), pages 109-122.
    27. Kashin Sugishita & Yasuo Asakura, 2021. "Vulnerability studies in the fields of transportation and complex networks: a citation network analysis," Public Transport, Springer, vol. 13(1), pages 1-34, March.
    28. Mohamad Darayi & Kash Barker & Joost R. Santos, 2017. "Component Importance Measures for Multi-Industry Vulnerability of a Freight Transportation Network," Networks and Spatial Economics, Springer, vol. 17(4), pages 1111-1136, December.
    29. Saini Yang & Fuyu Hu & Carlo Jaeger, 2016. "Impact Factors and Risk Analysis of Tropical Cyclones on a Highway Network," Risk Analysis, John Wiley & Sons, vol. 36(2), pages 262-277, February.
    30. Khademi, Navid & Babaei, Mohsen & Schmöcker, Jan-Dirk & Fani, Amirhossein, 2018. "Analysis of incident costs in a vulnerable sparse rail network – Description and Iran case study," Research in Transportation Economics, Elsevier, vol. 70(C), pages 9-27.
    31. Hong, Liu & Ouyang, Min & Peeta, Srinivas & He, Xiaozheng & Yan, Yongze, 2015. "Vulnerability assessment and mitigation for the Chinese railway system under floods," Reliability Engineering and System Safety, Elsevier, vol. 137(C), pages 58-68.
    32. Liu, Chengliang & Duan, Dezhong, 2020. "Spatial inequality of bus transit dependence on urban streets and its relationships with socioeconomic intensities: A tale of two megacities in China," Journal of Transport Geography, Elsevier, vol. 86(C).
    33. Xuelei Meng & Yahui Wang & Limin Jia & Lei Li, 2020. "Reliability Optimization of a Railway Network," Sustainability, MDPI, vol. 12(23), pages 1-27, November.
    34. Hong, Liu & Zhong, Xin & Ouyang, Min & Tian, Hui & He, Xiaozheng, 2019. "Vulnerability analysis of public transit systems from the perspective of urban residential communities," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 143-156.
    35. Augutis, Juozas & Jokšas, Benas & Krikštolaitis, Ričardas & Urbonas, Rolandas, 2016. "The assessment technology of energy critical infrastructure," Applied Energy, Elsevier, vol. 162(C), pages 1494-1504.
    36. Rodríguez-Núñez, Eduardo & García-Palomares, Juan Carlos, 2014. "Measuring the vulnerability of public transport networks," Journal of Transport Geography, Elsevier, vol. 35(C), pages 50-63.
    37. Voltes-Dorta, Augusto & Rodríguez-Déniz, Héctor & Suau-Sanchez, Pere, 2017. "Vulnerability of the European air transport network to major airport closures from the perspective of passenger delays: Ranking the most critical airports," Transportation Research Part A: Policy and Practice, Elsevier, vol. 96(C), pages 119-145.
    38. Mostafa Bababeik & Mohammad Mahdi Nasiri & Navid Khademi & Anthony Chen, 2019. "Vulnerability evaluation of freight railway networks using a heuristic routing and scheduling optimization model," Transportation, Springer, vol. 46(4), pages 1143-1170, August.
    39. Zhang, X. & Miller-Hooks, E. & Denny, K., 2015. "Assessing the role of network topology in transportation network resilience," Journal of Transport Geography, Elsevier, vol. 46(C), pages 35-45.
    40. Freiria, Susana & Ribeiro, Bernardete & Tavares, Alexandre O., 2015. "Understanding road network dynamics: Link-based topological patterns," Journal of Transport Geography, Elsevier, vol. 46(C), pages 55-66.
    41. Özdamar, Linet & Tüzün Aksu, Dilek & Ergüneş, Biket, 2014. "Coordinating debris cleanup operations in post disaster road networks," Socio-Economic Planning Sciences, Elsevier, vol. 48(4), pages 249-262.
    42. Weiping Wang & Saini Yang & Jianxi Gao & Fuyu Hu & Wanyi Zhao & H. Eugene Stanley, 2020. "An Integrated Approach for Assessing the Impact of Large‐Scale Future Floods on a Highway Transport System," Risk Analysis, John Wiley & Sons, vol. 40(9), pages 1780-1794, September.
    43. Li, Yixiao & Zhang, Lin & Huang, Chaogeng & Shen, Bin, 2016. "The structural robustness of geographical networks against regional failure and their pre-optimization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 420-428.
    44. Heckmann, Iris & Comes, Tina & Nickel, Stefan, 2015. "A critical review on supply chain risk – Definition, measure and modeling," Omega, Elsevier, vol. 52(C), pages 119-132.
    45. Gonçalves, L.A.P.J. & Ribeiro, P.J.G., 2020. "Resilience of urban transportation systems. Concept, characteristics, and methods," Journal of Transport Geography, Elsevier, vol. 85(C).
    46. Gu, Yu & Fu, Xiao & Liu, Zhiyuan & Xu, Xiangdong & Chen, Anthony, 2020. "Performance of transportation network under perturbations: Reliability, vulnerability, and resilience," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    47. Caroline A Johnson & Allison C Reilly & Roger Flage & Seth D Guikema, 2021. "Characterizing the robustness of power-law networks that experience spatially-correlated failures," Journal of Risk and Reliability, , vol. 235(3), pages 403-415, June.
    48. Erik Jenelius & Lars-Göran Mattsson, 2011. "The impact of network density, travel and location patterns on regional road network vulnerability," ERSA conference papers ersa10p448, European Regional Science Association.
    49. Ouyang, Min & Pan, ZheZhe & Hong, Liu & He, Yue, 2015. "Vulnerability analysis of complementary transportation systems with applications to railway and airline systems in China," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 248-257.
    50. Tuzun Aksu, Dilek & Ozdamar, Linet, 2014. "A mathematical model for post-disaster road restoration: Enabling accessibility and evacuation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 61(C), pages 56-67.
    51. Kilgarriff, Paul & McDermott, T.K.J. & Vega, Amaya & Morrissey , Karyn & O’Donoghue, Cathal, 2018. "Flooding disruption and the impact on the spatial distribution of commuter’s income," Working Papers 309608, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
    52. Rolf Nyberg & Magnus Johansson, 2013. "Indicators of road network vulnerability to storm-felled trees," 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. 69(1), pages 185-199, October.
    53. Ghavami, Seyed Morsal, 2019. "Multi-criteria spatial decision support system for identifying strategic roads in disaster situations," International Journal of Critical Infrastructure Protection, Elsevier, vol. 24(C), pages 23-36.
    54. Özdamar, Linet & Ertem, Mustafa Alp, 2015. "Models, solutions and enabling technologies in humanitarian logistics," European Journal of Operational Research, Elsevier, vol. 244(1), pages 55-65.
    55. Masahiro Sasabe & Kodai Fujii & Shoji Kasahara, 2020. "Road network risk analysis considering people flow under ordinary and evacuation situations," Environment and Planning B, , vol. 47(5), pages 759-774, June.
    56. Bono, Flavio & Gutiérrez, Eugenio, 2011. "A network-based analysis of the impact of structural damage on urban accessibility following a disaster: the case of the seismically damaged Port Au Prince and Carrefour urban road networks," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1443-1455.
    57. Caterina Malandri & Luca Mantecchini & Filippo Paganelli & Maria Nadia Postorino, 2021. "Public Transport Network Vulnerability and Delay Distribution among Travelers," Sustainability, MDPI, vol. 13(16), pages 1-14, August.
    58. Xia, Yongxiang & Wang, Cong & Shen, Hui-Liang & Song, Hainan, 2020. "Cascading failures in spatial complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 559(C).
    59. Sullivan, James L. & Dowds, Jonathan & Novak, David C. & Scott, Darren M. & Ragsdale, Cliff, 2019. "Development and application of an iterative heuristic for roadway snow and ice control," Transportation Research Part A: Policy and Practice, Elsevier, vol. 127(C), pages 18-31.
    60. Dongyuan Li & Chengshuai Li & Zidong Wang & Deqiang Wang & Jianping Xing & Bo Zhang, 2017. "Signal Consensus in TSP of the Same Grid in Road Network," Future Internet, MDPI, vol. 9(4), pages 1-10, October.
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  8. 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.

    Cited by:

    1. Li, Zhi-Chun & Lam, William H.K. & Wong, S.C., 2014. "Bottleneck model revisited: An activity-based perspective," Transportation Research Part B: Methodological, Elsevier, vol. 68(C), pages 262-287.
    2. Zhaoqi Zang & Richard Batley & Xiangdong Xu & David Z. W. Wang, 2022. "On the value of distribution tail in the valuation of travel time variability," Papers 2207.06293, arXiv.org, revised Dec 2023.
    3. Wang, Bobin & Shao, Chunfu & Ji, Xun, 2017. "Dynamic analysis of holiday travel behaviour with integrated multimodal travel information usage: A life-oriented approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 104(C), pages 255-280.
    4. Souche, Stéphanie & Mercier, Aurélie & Ovtracht, Nicolas, 2015. "Income and access inequalities of a cordon pricing," Research in Transportation Economics, Elsevier, vol. 51(C), pages 20-30.
    5. 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).
    6. Hjorth, Katrine & Börjesson, Maria & Engelson, Leonid & Fosgerau, Mogens, 2015. "Estimating exponential scheduling preferences," Transportation Research Part B: Methodological, Elsevier, vol. 81(P1), pages 230-251.
    7. 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.
    8. Li, Zhi-Chun & Lam, William H.K. & Wong, S.C., 2017. "Step tolling in an activity-based bottleneck model," Transportation Research Part B: Methodological, Elsevier, vol. 101(C), pages 306-334.
    9. Stéphanie Souche & Aurélie Mercier & Nicolas Ovtracht, 2016. "The impacts of urban pricing on social and spatial inequalities: The case study of Lyon (France)," Post-Print halshs-01322130, HAL.
    10. Zhu, Tingting & Li, Yao & Long, Jiancheng, 2022. "Departure time choice equilibrium and tolling strategies for a bottleneck with continuous scheduling preference," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    11. Carlos Carrion & David Levinson, 2010. "Value of Travel Time Reliability: A review of current evidence," Working Papers 000085, University of Minnesota: Nexus Research Group.
    12. Bobin Wang & Chunfu Shao & Xun Ji, 2017. "Influencing Mechanism Analysis of Holiday Activity–Travel Patterns on Transportation Energy Consumption and Emissions in China," Energies, MDPI, vol. 10(7), pages 1-20, July.
    13. Lissy La Paix & Karst Geurs, 2015. "Scenarios for measuring station-based impedances in a national transport model," ERSA conference papers ersa15p1310, European Regional Science Association.
    14. Rodríguez-Núñez, Eduardo & García-Palomares, Juan Carlos, 2014. "Measuring the vulnerability of public transport networks," Journal of Transport Geography, Elsevier, vol. 35(C), pages 50-63.
    15. Peer, Stefanie & Verhoef, Erik T., 2013. "Equilibrium at a bottleneck when long-run and short-run scheduling preferences diverge," Transportation Research Part B: Methodological, Elsevier, vol. 57(C), pages 12-27.
    16. Badiola, Nicolás & Raveau, Sebastián & Galilea, Patricia, 2019. "Modelling preferences towards activities and their effect on departure time choices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 129(C), pages 39-51.
    17. Fosgerau, Mogens & Lindsey, Robin, 2013. "Trip-timing decisions with traffic incidents," MPRA Paper 48708, University Library of Munich, Germany.
    18. Li, Zhi-Chun & Zhang, Liping, 2020. "The two-mode problem with bottleneck queuing and transit crowding: How should congestion be priced using tolls and fares?," Transportation Research Part B: Methodological, Elsevier, vol. 138(C), pages 46-76.
    19. Oskar Blom Västberg & Anders Karlström & Daniel Jonsson & Marcus Sundberg, 2020. "A Dynamic Discrete Choice Activity-Based Travel Demand Model," Transportation Science, INFORMS, vol. 54(1), pages 21-41, January.
    20. Wang, Bobin & Shao, Chunfu & Li, Juan & Weng, Jinxian & Ji, Xun, 2015. "Holiday travel behavior analysis and empirical study under integrated multimodal travel information service," Transport Policy, Elsevier, vol. 39(C), pages 21-36.
    21. Bao, Yue & Yang, Hai & Gao, Ziyou & Xu, Hongli, 2023. "How do pre-event activities alleviate congestion and increase attendees’ travel utility and the venue's profit during a special event?," Transportation Research Part B: Methodological, Elsevier, vol. 173(C), pages 332-353.
    22. Stefanie Peer & Jasper Knockaert & Erik Verhoef, 2015. "Train Commuters' Scheduling Preferences: Evidence from a Large-Scale Peak Avoidance Experiment," Tinbergen Institute Discussion Papers 15-078/VIII, Tinbergen Institute.
    23. Sjoerd van der Spoel & Chintan Amrit & Jos van Hillegersberg, 2017. "Predictive analytics for truck arrival time estimation: a field study at a European distribution centre," International Journal of Production Research, Taylor & Francis Journals, vol. 55(17), pages 5062-5078, September.
    24. Le Yu & Binglei Xie & Edwin H. W. Chan, 2018. "How does the Built Environment Influence Public Transit Choice in Urban Villages in China?," Sustainability, MDPI, vol. 11(1), pages 1-15, December.
    25. Svein Bråthen & Karoline L. Hoff, 2020. "Economic Impact Assessment of Regulatory Changes: A Case Study of a Proposed New ICAO Standard for Contaminated Runways," Sustainability, MDPI, vol. 12(15), pages 1-27, July.
    26. 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.
    27. 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.
    28. Hao, Lu & Hansen, Mark, 2014. "Block time reliability and scheduled block time setting," Transportation Research Part B: Methodological, Elsevier, vol. 69(C), pages 98-111.

  9. Jörgen Weibull & Lars-Göran Mattsson & Mark Voorneveld, 2007. "Better May be Worse: Some Monotonicity Results and Paradoxes in Discrete Choice Under Uncertainty," Theory and Decision, Springer, vol. 63(2), pages 121-151, September.

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    1. Jerker Denrell & Chengwei Liu & Gaël Mens, 2017. "When More Selection Is Worse," Strategy Science, INFORMS, vol. 2(1), pages 39-63, March.
    2. Sergei Mikhalishchev, 2020. "Optimal Menu when Agents Make Mistakes," CERGE-EI Working Papers wp670, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    3. Mark Voorneveld & Jörgen W. Weibull, 2011. "A Scent of Lemon—Seller Meets Buyer with a Noisy Quality Observation," Games, MDPI, vol. 2(1), pages 1-24, March.
    4. Duffy, Sean & Gussman, Steven & Smith, John, 2021. "Visual judgments of length in the economics laboratory: Are there brains in stochastic choice?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 93(C).
    5. Lindbeck, Assar & Weibull, Jörgen, 2020. "Delegation of investment decisions, and optimal remuneration of agents," European Economic Review, Elsevier, vol. 129(C).
    6. Friedman, Evan, 2020. "Endogenous quantal response equilibrium," Games and Economic Behavior, Elsevier, vol. 124(C), pages 620-643.
    7. Lindbeck, Assar & Weibull, Jörgen, 2015. "Pay Schemes, Bargaining, and Competition for Talent," Working Paper Series 1100, Research Institute of Industrial Economics.
    8. Alisdair McKay & Filip Matejka, 2011. "Rational Inattention to Discrete Choices: A New Foundation for the Multinomial Logit Model," 2011 Meeting Papers 535, Society for Economic Dynamics.
    9. Jun Chen, 2021. "The Condorcet Jury Theorem with Information Acquisition," Games, MDPI, vol. 12(4), pages 1-33, October.
    10. van Staden, Heletjé E. & Boute, Robert N., 2021. "The effect of multi-sensor data on condition-based maintenance policies," European Journal of Operational Research, Elsevier, vol. 290(2), pages 585-600.
    11. Peter I. Frazier & Warren B. Powell, 2010. "Paradoxes in Learning and the Marginal Value of Information," Decision Analysis, INFORMS, vol. 7(4), pages 378-403, December.

  10. 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.

    Cited by:

    1. Eliasson, Jonas, 2014. "The Stockholm congestion charges: an overview," Working papers in Transport Economics 2014:7, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    2. Patriksson, Michael, 2008. "On the applicability and solution of bilevel optimization models in transportation science: A study on the existence, stability and computation of optimal solutions to stochastic mathematical programs," Transportation Research Part B: Methodological, Elsevier, vol. 42(10), pages 843-860, December.
    3. Hensher, David A. & Bliemer, Michiel C.J., 2014. "What type of road pricing scheme might appeal to politicians? Viewpoints on the challenge in gaining the citizen and public servant vote by staging reform," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 227-237.
    4. Miquel-Àngel Garcia-López & Ilias Pasidis & Elisabet Viladecans-Marsal, 2020. "Congestion in highways when tolls and railroads matter: Evidence from European cities," Working Papers wpdea2011, Department of Applied Economics at Universitat Autonoma of Barcelona.
    5. Andrea Baranzini & Stefano Carattini & Linda Tesauro, 2021. "Designing Effective and Acceptable Road Pricing Schemes: Evidence from the Geneva Congestion Charge," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(3), pages 417-482, July.
    6. Börjesson, Maria & Eliasson, Jonas & Rubensson, Isak, 2020. "Distributional effects of public transport subsidies," Journal of Transport Geography, Elsevier, vol. 84(C).
    7. Eliasson, Jonas & Börjesson, Maria & van Amelsfort, Dirk & Brundell-Freij, Karin & Engelson, Leonid, 2013. "Accuracy of congestion pricing forecasts," Transportation Research Part A: Policy and Practice, Elsevier, vol. 52(C), pages 34-46.
    8. Kristoffersson, Ida & Engelson, Leonid & Börjesson, Maria, 2017. "Efficiency vs equity: Conflicting objectives of congestion charges," Transport Policy, Elsevier, vol. 60(C), pages 99-107.
    9. Bhardwaj, Chandan & Axsen, Jonn & Kern, Florian & McCollum, David, 2020. "Why have multiple climate policies for light-duty vehicles? Policy mix rationales, interactions and research gaps," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 309-326.
    10. Steinsland, Christian & Fridstrøm, Lasse & Madslien, Anne & Minken, Harald, 2018. "The climate, economic and equity effects of fuel tax, road toll and commuter tax credit," Transport Policy, Elsevier, vol. 72(C), pages 225-241.
    11. Condeço-Melhorado, Ana & Gutiérrez, Javier & García-Palomares, Juan Carlos, 2011. "Spatial impacts of road pricing: Accessibility, regional spillovers and territorial cohesion," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(3), pages 185-203, March.
    12. Eliasson, Jonas, 2014. "The Stockholm congestion pricing syndrome: how congestion charges went from unthinkable to uncontroversial," Working papers in Transport Economics 2014:1, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    13. David Heres & Steffen Kallbekken & Ibon Galarraga, 2013. "Understanding Public Support for Externality-Correcting Taxes and Subsidies: A Lab Experiment," Working Papers 2013-04, BC3.
    14. Lentzakis, Antonis F. & Seshadri, Ravi & Ben-Akiva, Moshe, 2023. "Predictive distance-based road pricing — Designing tolling zones through unsupervised learning," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
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    20. Coria, Jessica & Bonilla, Jorge & Grundström, Maria & Pleijel, Håkan, 2015. "Air pollution dynamics and the need for temporally differentiated road pricing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 75(C), pages 178-195.
    21. Eliasson, Jonas, 2016. "Is congestion pricing fair? Consumer and citizen perspectives on equity effects," Working papers in Transport Economics 2016:5, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    22. 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.
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    25. Dixit, Malvika & Chowdhury, Subeh & Cats, Oded & Brands, Ties & van Oort, Niels & Hoogendoorn, Serge, 2021. "Examining circuity of urban transit networks from an equity perspective," Journal of Transport Geography, Elsevier, vol. 91(C).
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    31. Stéphanie Souche & Aurélie Mercier & Nicolas Ovtracht, 2016. "The impacts of urban pricing on social and spatial inequalities: The case study of Lyon (France)," Post-Print halshs-01322130, HAL.
    32. Benjamin Bureau & Matthieu Glachant, 2011. "Distributional effects of public transport policies in the Paris Region," Post-Print hal-00869792, HAL.
    33. Gelman, Sergey & Kliger, Doron, 2021. "The effect of time-induced stress on financial decision making in real markets: The case of traffic congestion," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 814-841.
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    48. Gutiérrez, Javier & Condeço-Melhorado, Ana Margarida & Martín, Juan Carlos & Román, Concepción, 2013. "Road pricing in the European Union: direct revenue transfer between countries," Journal of Transport Geography, Elsevier, vol. 33(C), pages 95-104.
    49. Vega, Amaya & Evers, Natasha, 2016. "Understanding the implications of the UK HGV road usercharge for Irish maritime freight transport stakeholders," Working Papers 262593, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
    50. Bjorn Harsman & John Quigley, 2011. "Political and Public Acceptability of Congestion Pricing: Ideology and Self Interest," ERSA conference papers ersa10p1477, European Regional Science Association.
    51. Peiyu Jing & Ravi Seshadri & Takanori Sakai & Ali Shamshiripour & Andre Romano Alho & Antonios Lentzakis & Moshe E. Ben-Akiva, 2023. "Evaluating congestion pricing schemes using agent-based passenger and freight microsimulation," Papers 2305.07318, arXiv.org.
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    62. 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.
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    118. Dong, Shangjia & Gao, Xinyu & Mostafavi, Ali & Gao, Jianxi & Gangwal, Utkarsh, 2023. "Characterizing resilience of flood-disrupted dynamic transportation network through the lens of link reliability and stability," Reliability Engineering and System Safety, Elsevier, vol. 232(C).
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    120. Federico Rupi & Silvia Bernardi & Guido Rossi & Antonio Danesi, 2015. "The Evaluation of Road Network Vulnerability in Mountainous Areas: A Case Study," Networks and Spatial Economics, Springer, vol. 15(2), pages 397-411, June.
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    124. Reggiani, Aura & Nijkamp, Peter & Lanzi, Diego, 2015. "Transport resilience and vulnerability: The role of connectivity," Transportation Research Part A: Policy and Practice, Elsevier, vol. 81(C), pages 4-15.
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    126. Agostino Torti & Marika Arena & Giovanni Azzone & Piercesare Secchi & Simone Vantini, 2022. "Bridge closure in the road network of Lombardy: a spatio-temporal analysis of the socio-economic impacts," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(4), pages 901-923, October.
    127. Sullivan, J.L. & Novak, D.C. & Aultman-Hall, L. & Scott, D.M., 2010. "Identifying critical road segments and measuring system-wide robustness in transportation networks with isolating links: A link-based capacity-reduction approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(5), pages 323-336, June.
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    129. Aghababaei, Mohammad T. (Siavash) & Costello, Seosamh B. & Ranjitkar, Prakash, 2021. "Measures to evaluate post-disaster trip resilience on road networks," Journal of Transport Geography, Elsevier, vol. 95(C).
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    1. Teng Zhong & Guonian Lü & Xiuming Zhong & Haoming Tang & Yu Ye, 2020. "Measuring Human-Scale Living Convenience through Multi-Sourced Urban Data and a Geodesign Approach: Buildings as Analytical Units," Sustainability, MDPI, vol. 12(11), pages 1-19, June.
    2. Els Hannes & Diana Kusumastuti & Maikel Espinosa & Davy Janssens & Koen Vanhoof & Geert Wets, 2012. "Mental maps and travel behaviour: meanings and models," Journal of Geographical Systems, Springer, vol. 14(2), pages 143-165, April.
    3. Wissam Qassim Al-Salih & Domokos Esztergár Kiss, 2022. "Activity Chains Modelling of Travellers by Using Logit Models Based on the Utility Function," Sustainability, MDPI, vol. 14(5), pages 1-36, March.
    4. Daniel Jonsson & Anders Karlström & Masoud Fadaei Oshyani & Per Olsson, 2014. "Reconciling User Benefit and Time-Geography-Based Individual Accessibility Measures," Environment and Planning B, , vol. 41(6), pages 1031-1043, December.
    5. Diana Kusumastuti & Els Hannes & Davy Janssens & Geert Wets & Benedict Dellaert, 2010. "Scrutinizing individuals’ leisure-shopping travel decisions to appraise activity-based models of travel demand," Transportation, Springer, vol. 37(4), pages 647-661, July.
    6. Andrew Daly, 2013. "Forecasting behaviour: with applications to transport," Chapters, in: Stephane Hess & Andrew Daly (ed.), Choice Modelling, chapter 2, pages 48-72, Edward Elgar Publishing.
    7. Dimitrios Rizopoulos & Domokos Esztergár-Kiss, 2020. "A Method for the Optimization of Daily Activity Chains Including Electric Vehicles," Energies, MDPI, vol. 13(4), pages 1-21, February.
    8. Chen Weng & Jingyi Wang & Chunming Li & Rencai Dong & Chencan Lv & Yaran Jiao & Yonglin Zhang, 2022. "Recreational Green Space Service in the Guangdong–Hong Kong–Macau Greater Bay Area: A Multiple Travel Modes Perspective," Land, MDPI, vol. 11(11), pages 1-19, November.
    9. Marlies Vanhulsel & Carolien Beckx & Davy Janssens & Koen Vanhoof & Geert Wets, 2011. "Measuring dissimilarity of geographically dispersed space–time paths," Transportation, Springer, vol. 38(1), pages 65-79, January.
    10. 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.

  13. Mattsson, Lars-Goran & Weibull, Jorgen W., 2002. "Probabilistic choice and procedurally bounded rationality," Games and Economic Behavior, Elsevier, vol. 41(1), pages 61-78, October.

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    1. Mogens Fosgerau & André de Palma, 2016. "Generalized entropy models," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01291347, HAL.
    2. Hofbauer, Josef & Hopkins, Ed, 2005. "Learning in perturbed asymmetric games," Games and Economic Behavior, Elsevier, vol. 52(1), pages 133-152, July.
    3. Costain, James & Nakov, Anton & Petit, Borja, 2019. "Monetary policy implications of state-dependent prices and wages," Working Paper Series 2272, European Central Bank.
    4. Carlos Alos-Ferrer & Nick Netzer, 2008. "The Logit-Response Dynamics," TWI Research Paper Series 28, Thurgauer Wirtschaftsinstitut, Universität Konstanz.
    5. Vesperoni, Alberto, 2013. "A contest success function for rankings," NEPS Working Papers 8/2013, Network of European Peace Scientists.
    6. Steverson, Kai & Brandenburger, Adam & Glimcher, Paul, 2019. "Choice-theoretic foundations of the divisive normalization model," Journal of Economic Behavior & Organization, Elsevier, vol. 164(C), pages 148-165.
    7. André De Palma & Mogens Fosgerau & Julien Monardo, 2021. "The Inverse Product Differentiation Logit Model," THEMA Working Papers 2021-04, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    8. Mattsson, Lars-Göran & Weibull, Jörgen W., 2023. "An analytically solvable principal-agent model," Games and Economic Behavior, Elsevier, vol. 140(C), pages 33-49.
    9. Tsionas, Mike G., 2020. "Bounded rationality and thick frontiers in stochastic frontier analysis," European Journal of Operational Research, Elsevier, vol. 284(2), pages 762-768.
    10. James Costain & Anton Nakov, 2013. "Logit price dynamics," Working Papers 1301, Banco de España.
    11. Costain, James & Nakov, Anton, 2015. "Precautionary price stickiness," Journal of Economic Dynamics and Control, Elsevier, vol. 58(C), pages 218-234.
    12. Andrei Matveenko, 2017. "Logit, CES, and Rational Inattention," CERGE-EI Working Papers wp593, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    13. Fosgerau, Mogens & de Palma, André, 2015. "Demand systems for market shares," MPRA Paper 62106, University Library of Munich, Germany.
    14. Steiner, Jakub & Matějka, Filip & Stewart, Colin, 2015. "Rational Inattention Dynamics: Inertia and Delay in Decision-Making," CEPR Discussion Papers 10720, C.E.P.R. Discussion Papers.
    15. Tsakas, Elias & Voorneveld, Mark, 2007. "The target projection dynamic," SSE/EFI Working Paper Series in Economics and Finance 670, Stockholm School of Economics, revised 13 Aug 2007.
    16. Lindbeck, Assar & Weibull, Jörgen, 2020. "Delegation of investment decisions, and optimal remuneration of agents," European Economic Review, Elsevier, vol. 129(C).
    17. Paola Manzini & Marco Mariotti, 2012. "Stochastic Choice and Consideration Sets," CEEL Working Papers 1205, Cognitive and Experimental Economics Laboratory, Department of Economics, University of Trento, Italia.
    18. Suren Basov & Svetlana Danilkina & David Prentice, 2008. "When does Variety increase with Quality?," Working Papers 2008.04, School of Economics, La Trobe University.
    19. Breitmoser, Yves, 2017. "Discrete Choice with Presentation Effects," Rationality and Competition Discussion Paper Series 35, CRC TRR 190 Rationality and Competition.
    20. Tim Genewein & Eduard Hez & Zeynab Razzaghpanah & Daniel A Braun, 2015. "Structure Learning in Bayesian Sensorimotor Integration," PLOS Computational Biology, Public Library of Science, vol. 11(8), pages 1-27, August.
    21. Hamza Umer, 2018. "Fairness-Adjusted Laffer Curve: Strategy versus Direct Method," Games, MDPI, vol. 9(3), pages 1-14, August.
    22. Fedor Sandomirskiy & Omer Tamuz, 2023. "Decomposable Stochastic Choice," Papers 2312.04827, arXiv.org.
    23. Kartik Anand & Ben R. Craig & Goetz von Peter, 2014. "Filling in the Blanks: Network Structure and Interbank Contagion," Working Papers (Old Series) 1416, Federal Reserve Bank of Cleveland.
    24. Tingliang Huang & Gad Allon & Achal Bassamboo, 2013. "Bounded Rationality in Service Systems," Manufacturing & Service Operations Management, INFORMS, vol. 15(2), pages 263-279, May.
    25. Jacques Durieu & Hans Haller & Philippe Solal, 2011. "Nonspecific networking," Post-Print halshs-00667662, HAL.
    26. Roy Allen & John Rehbeck, 2021. "A Generalization of Quantal Response Equilibrium via Perturbed Utility," Games, MDPI, vol. 12(1), pages 1-16, March.
    27. Flynn, Joel P. & Sastry, Karthik A., 2023. "Strategic mistakes," Journal of Economic Theory, Elsevier, vol. 212(C).
    28. Friedman, Evan, 2020. "Endogenous quantal response equilibrium," Games and Economic Behavior, Elsevier, vol. 124(C), pages 620-643.
    29. Mantas Radzvilas & Francesco De Pretis & William Peden & Daniele Tortoli & Barbara Osimani, 2023. "Incentives for Research Effort: An Evolutionary Model of Publication Markets with Double-Blind and Open Review," Computational Economics, Springer;Society for Computational Economics, vol. 61(4), pages 1433-1476, April.
    30. Manzini, Paola & Mariotti, Marco, 2014. "Imperfect Attention and Menu Evaluation," SIRE Discussion Papers 2014-012, Scottish Institute for Research in Economics (SIRE).
    31. Ubøe, Jan & Andersson, Jonas & Jörnsten, Kurt & Lillestøl, Jostein & Sandal, Leif K., 2014. "Probabilistic cost efficiency and bounded rationality in the newsvendor model," Discussion Papers 2014/41, Norwegian School of Economics, Department of Business and Management Science.
    32. Ubøe, Jan & Andersson, Jonas & Jörnsten, Kurt & Lillestøl, Jostein & Sandal, Leif, 2017. "Statistical testing of bounded rationality with applications to the newsvendor model," European Journal of Operational Research, Elsevier, vol. 259(1), pages 251-261.
    33. James Costain, 2017. "Costly decisions and sequential bargaining," Working Papers 1729, Banco de España.
    34. Alisdair McKay & Filip Matejka, 2011. "Rational Inattention to Discrete Choices: A New Foundation for the Multinomial Logit Model," 2011 Meeting Papers 535, Society for Economic Dynamics.
    35. Braathen, Christian & Thorsen, Inge & Ubøe, Jan, 2022. "Adjusting for Cell Suppression in Commuting Trip Data," Discussion Papers 2022/13, Norwegian School of Economics, Department of Business and Management Science.
    36. Vincent P. Crawford & Miguel A. Costa-Gomes & Nagore Iriberri, 2010. "Strategic Thinking," Levine's Working Paper Archive 661465000000001148, David K. Levine.
    37. Mark Voorneveld, 2006. "Probabilistic Choice in Games: Properties of Rosenthal’s t-Solutions," International Journal of Game Theory, Springer;Game Theory Society, vol. 34(1), pages 105-121, April.
    38. Reinoud Joosten & Berend Roorda, 2011. "On evolutionary ray-projection dynamics," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 74(2), pages 147-161, October.
    39. André de Palma & Julien Monardo, 2017. "The General Nesting Logit (GNL) Model using Aggregate Data," Working Papers hal-01552455, HAL.
    40. Emerson Melo, 2022. "On the uniqueness of quantal response equilibria and its application to network games," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 74(3), pages 681-725, October.
    41. Dale O. Stahl, 2017. "Dynamic programming and behavioral rules," Economic Theory Bulletin, Springer;Society for the Advancement of Economic Theory (SAET), vol. 5(2), pages 165-174, October.
    42. Golman, Russell, 2012. "Homogeneity bias in models of discrete choice with bounded rationality," Journal of Economic Behavior & Organization, Elsevier, vol. 82(1), pages 1-11.
    43. Paola Manzini & Marco Mariotti, 2015. "Modelling Imperfect Attention," Working Papers 744, Queen Mary University of London, School of Economics and Finance.
    44. Reinoud Joosten & Berend Roorda, 2008. "Generalized projection dynamics in evolutionary game theory," Papers on Economics and Evolution 2008-11, Philipps University Marburg, Department of Geography.
    45. Chakrabarti, Subir K., 2014. "On the robustness of the competitive equilibrium: Utility-improvements and equilibrium points," Journal of Mathematical Economics, Elsevier, vol. 55(C), pages 36-47.
    46. Pelosse, Yohan, 2009. "Mediated Contests and Strategic Foundations for Contest Success Functions," MPRA Paper 18664, University Library of Munich, Germany.
    47. Lahkar, Ratul & Riedel, Frank, 2015. "The logit dynamic for games with continuous strategy sets," Games and Economic Behavior, Elsevier, vol. 91(C), pages 268-282.
    48. D. Pennesi, 2016. "Intertemporal discrete choice," Working Papers wp1061, Dipartimento Scienze Economiche, Universita' di Bologna.
    49. Lahkar, Ratul & Mukherjee, Sayan & Roy, Souvik, 2022. "Generalized perturbed best response dynamics with a continuum of strategies," Journal of Economic Theory, Elsevier, vol. 200(C).
    50. Roberto Dieci & Xue-Zhong He, 2021. "Cross-section instability in financial markets: impatience, extrapolation, and switching," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 727-754, December.
    51. Zhang, Yu & Li, Leiming, 2022. "Research on travelers’ transportation mode choice between carsharing and private cars based on the logit dynamic evolutionary game model," Economics of Transportation, Elsevier, vol. 29(C).
    52. Subhasish Dugar & Haimanti Bhattacharya, 2008. "The Power of Reasoning: Experimental Evidence," Working Paper Series, Department of Economics, University of Utah 2008_20, University of Utah, Department of Economics.
    53. Talat Genc & Pietro De Giovanni, 2021. "Dynamic pricing and green investments under conscious, emotional, and rational consumers," Working Papers 2101, University of Guelph, Department of Economics and Finance.
    54. Lahkar, Ratul & Riedel, Frank, 2016. "The Continuous Logit Dynamic and Price Dispersion," Center for Mathematical Economics Working Papers 521, Center for Mathematical Economics, Bielefeld University.
    55. Georgios Methenitis & Michael Kaisers & Han Poutré, 2020. "Degrees of Rationality in Agent-Based Retail Markets," Computational Economics, Springer;Society for Computational Economics, vol. 56(4), pages 953-973, December.
    56. RatulLahkar & Sayan Mukherjee & Souvik Roy, 2021. "Generalized Perturbed Best Response Dynamics with a Continuum of Strategies," Working Papers 51, Ashoka University, Department of Economics.
    57. Teresa Esteban-Casanelles & Duarte Gonc{c}alves, 2023. "The Effects of Incentives on Choices and Beliefs in Games: An Experiment," Papers 2304.00412, arXiv.org.
    58. Xue-Zhong He & Lei Shi & Marco Tolotti, 2018. "Are We Better-off for Working Hard?," Research Paper Series 391, Quantitative Finance Research Centre, University of Technology, Sydney.

  14. P.O. Lindberg & E. Anders Eriksson & Lars-Göran Mattsson, 2002. "Homothetic functions revisited," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 19(2), pages 417-427.

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    1. Walter Briec & Laurent Cavaignac, 2009. "An extension of the multi-output state-contingent production model," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 39(1), pages 43-64, April.

  15. Jonas Eliasson & Lars-Göran Mattsson, 2001. "Transport and Location Effects of Road Pricing: A Simulation Approach," Journal of Transport Economics and Policy, University of Bath, vol. 35(3), pages 417-456, September.

    Cited by:

    1. Eliasson, Jonas & Savemark, Christian & Franklin, Joel, 2020. "The impact of land use effects in infrastructure appraisal," MPRA Paper 103085, University Library of Munich, Germany.
    2. Anas, Alex & Hiramatsu, Tomoru, 2013. "The economics of cordon tolling: General equilibrium and welfare analysis," Economics of Transportation, Elsevier, vol. 2(1), pages 18-37.
    3. Ninette Pilegaard & Morten Marott Larsen & Jos Van Ommeren, 2005. "Congestion and Residential Moving Behaviour in the presence of Moving Costs," ERSA conference papers ersa05p520, European Regional Science Association.
    4. 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.
    5. 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.
    6. Ma, Xiaosu & Lo, Hong K., 2012. "Modeling transport management and land use over time," Transportation Research Part B: Methodological, Elsevier, vol. 46(6), pages 687-709.
    7. Vega, Amaya & Reynolds-Feighan, Aisling, 2009. "A methodological framework for the study of residential location and travel-to-work mode choice under central and suburban employment destination patterns," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(4), pages 401-419, May.
    8. Safirova, Elena A. & Houde, Sébastien & Lipman, D. Abram & Harrington, Winston & Bagliano, Andrew D., 2006. "Congestion Pricing: Long-Term Economic and Land-Use Effects," RFF Working Paper Series dp-06-37, Resources for the Future.
    9. Morten Marott Larsen & Ninette Pilegaard & Jos van Ommeren, 2004. "Congestion and Residential Moving Behaviour," Tinbergen Institute Discussion Papers 04-096/3, Tinbergen Institute.
    10. Georgina Santos & Laurent Rojey, 2004. "Distributional impacts of road pricing: The truth behind the myth," Transportation, Springer, vol. 31(1), pages 21-42, February.
    11. Mattsson, Lars-Goeran & Sjoelin, Lina, 2002. "Transport and location effects of a ring road with or without road pricing," ERSA conference papers ersa02p056, European Regional Science Association.
    12. De Vos, Jonas, 2016. "Road pricing in a polycentric urban region: Analysing a pilot project in Belgium," Transport Policy, Elsevier, vol. 52(C), pages 134-142.
    13. de Palma, André & Kilani, Moez & Lindsey, Robin, 2005. "Congestion pricing on a road network: A study using the dynamic equilibrium simulator METROPOLIS," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(7-9), pages 588-611.
    14. Tillema, Taede & van Wee, Bert & Ettema, Dick, 2010. "The influence of (toll-related) travel costs in residential location decisions of households: A stated choice approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(10), pages 785-796, December.
    15. Eliasson, Jonas, 2017. "Congestion pricing," MPRA Paper 88224, University Library of Munich, Germany.
    16. Zhi-Chun Li & Ya-Dong Wang & William Lam & Agachai Sumalee & Keechoo Choi, 2014. "Design of Sustainable Cordon Toll Pricing Schemes in a Monocentric City," Networks and Spatial Economics, Springer, vol. 14(2), pages 133-158, June.
    17. Jonas Westin, 2011. "Labor Market Effects of Road Pricing in a Population with Continuously Distributed Value of Time," ERSA conference papers ersa10p1458, European Regional Science Association.
    18. Omid M. Rouhani, 2016. "Next Generations of Road Pricing: Social Welfare Enhancing," Sustainability, MDPI, vol. 8(3), pages 1-15, March.
    19. 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.

  16. Eliasson, Jonas & Mattsson, Lars-Göran, 2000. "A model for integrated analysis of household location and travel choices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(5), pages 375-394, June.

    Cited by:

    1. Eliasson, Jonas & Savemark, Christian & Franklin, Joel, 2020. "The impact of land use effects in infrastructure appraisal," MPRA Paper 103085, University Library of Munich, Germany.
    2. Metin Senbil & Ryuichi Kitamura & Jamilah Mohamad, 2009. "Residential location, vehicle ownership and travel in Asia: a comparative analysis of Kei-Han-Shin and Kuala Lumpur metropolitan areas," Transportation, Springer, vol. 36(3), pages 325-350, May.
    3. Jonas Eliasson & Fredrik Kopsch & Svante Mandell & Mats Wilhelmsson, 2020. "Transport Mode and the Value of Accessibility–A Potential Input for Sustainable Investment Analysis," Sustainability, MDPI, vol. 12(5), pages 1-14, March.
    4. Pinjari, Abdul Rawoof & Bhat, Chandra R. & Hensher, David A., 2009. "Residential self-selection effects in an activity time-use behavior model," Transportation Research Part B: Methodological, Elsevier, vol. 43(7), pages 729-748, August.
    5. Ignacio A. Inoa & Nathalie Picard & André de Palma, 2013. "Commuting Time and Accessibility in a Joint Residential Location, Workplace, and Job Type Choice Model," THEMA Working Papers 2013-02, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    6. Ignacio A. Inoa & Nathalie Picard & André de Palma, 2015. "Effect of an Accessibility Measure in a Model for Choice of Residential Location, Workplace, and Type of Employment," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01311135, HAL.
    7. Le Vine, Scott & Lee-Gosselin, Martin & Sivakumar, Aruna & Polak, John, 2013. "A new concept of accessibility to personal activities: development of theory and application to an empirical study of mobility resource holdings," Journal of Transport Geography, Elsevier, vol. 31(C), pages 1-10.
    8. Ng, Ka Fai & Lo, Hong K., 2015. "Optimal housing supply in a bid-rent equilibrium framework," Transportation Research Part B: Methodological, Elsevier, vol. 74(C), pages 62-78.
    9. 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.
    10. Schwanen, Tim & Mokhtarian, Patricia L., 1998. "Does Dissonance Between Desired and Current Residential Neighbourhood Type Affect Individual Travel Behaviour? An Empirical Assessment From the San Francisco Bay Area," University of California Transportation Center, Working Papers qt26k8w6xf, University of California Transportation Center.
    11. Ibeas, Ángel & Cordera, Ruben & dell’Olio, Luigi & Coppola, Pierluigi, 2013. "Modelling the spatial interactions between workplace and residential location," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 110-122.
    12. Ng, Ka Fai & Lo, Hong K., 2017. "On joint railway and housing development: Housing-led versus railway-led schemes," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 464-488.
    13. Brian Lee & Paul Waddell, 2010. "Residential mobility and location choice: a nested logit model with sampling of alternatives," Transportation, Springer, vol. 37(4), pages 587-601, July.
    14. Abdul Pinjari & Ram Pendyala & Chandra Bhat & Paul Waddell, 2011. "Modeling the choice continuum: an integrated model of residential location, auto ownership, bicycle ownership, and commute tour mode choice decisions," Transportation, Springer, vol. 38(6), pages 933-958, November.
    15. Biying, Yu & Zhang, Junyi & Fujiwara, Akimasa, 2012. "Analysis of the residential location choice and household energy consumption behavior by incorporating multiple self-selection effects," Energy Policy, Elsevier, vol. 46(C), pages 319-334.
    16. Zhang, Junyi & Yu, Biying & Chikaraishi, Makoto, 2014. "Interdependences between household residential and car ownership behavior: a life history analysis," Journal of Transport Geography, Elsevier, vol. 34(C), pages 165-174.

  17. Boyce, David & Mattsson, Lars-Göran, 1999. "Modeling residential location choice in relation to housing location and road tolls on congested urban highway networks," Transportation Research Part B: Methodological, Elsevier, vol. 33(8), pages 581-591, November.

    Cited by:

    1. Zhong, Shaopeng & Jiang, Yu & Nielsen, Otto Anker, 2022. "Lexicographic multi-objective road pricing optimization considering land use and transportation effects," European Journal of Operational Research, Elsevier, vol. 298(2), pages 496-509.
    2. Katarzyna Kopczewska & Mateusz Kopyt & Piotr Ćwiakowski, 2021. "Spatial Interactions in Business and Housing Location Models," Land, MDPI, vol. 10(12), pages 1-25, December.
    3. Ninette Pilegaard & Morten Marott Larsen & Jos Van Ommeren, 2005. "Congestion and Residential Moving Behaviour in the presence of Moving Costs," ERSA conference papers ersa05p520, European Regional Science Association.
    4. Ma, Xiaosu & Lo, Hong K., 2012. "Modeling transport management and land use over time," Transportation Research Part B: Methodological, Elsevier, vol. 46(6), pages 687-709.
    5. Ng, Ka Fai & Lo, Hong K., 2015. "Optimal housing supply in a bid-rent equilibrium framework," Transportation Research Part B: Methodological, Elsevier, vol. 74(C), pages 62-78.
    6. Boyce, David, 2013. "Beckmann's transportation network equilibrium model: Its history and relationship to the Kuhn–Tucker conditions," Economics of Transportation, Elsevier, vol. 2(1), pages 47-52.
    7. Morten Marott Larsen & Ninette Pilegaard & Jos van Ommeren, 2004. "Congestion and Residential Moving Behaviour," Tinbergen Institute Discussion Papers 04-096/3, Tinbergen Institute.
    8. Boyce, David, 2007. "Future research on urban transportation network modeling," Regional Science and Urban Economics, Elsevier, vol. 37(4), pages 472-481, July.
    9. Ng, Ka Fai & Lo, Hong K., 2017. "On joint railway and housing development: Housing-led versus railway-led schemes," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 464-488.
    10. Li, Tongfei & Sun, Huijun & Wu, Jianjun & Ge, Ying-en, 2017. "Optimal toll of new highway in the equilibrium framework of heterogeneous households' residential location choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 105(C), pages 123-137.
    11. Bravo, Mario & Briceño, Luis & Cominetti, Roberto & Cortés, Cristián E. & Martínez, Francisco, 2010. "An integrated behavioral model of the land-use and transport systems with network congestion and location externalities," Transportation Research Part B: Methodological, Elsevier, vol. 44(4), pages 584-596, May.
    12. Xu, Meng & Grant-Muller, Susan, 2016. "Trip mode and travel pattern impacts of a Tradable Credits Scheme: A case study of Beijing," Transport Policy, Elsevier, vol. 47(C), pages 72-83.

  18. P O Lindberg & E A Eriksson & L-G Mattsson, 1995. "Invariance of Achieved Utility in Random Utility Models," Environment and Planning A, , vol. 27(1), pages 121-142, January.

    Cited by:

    1. John K. Dagsvik, 2001. "Compensated Variation in Random Utility Models," Discussion Papers 299, Statistics Norway, Research Department.
    2. Mattsson, Lars-Göran & Weibull, Jörgen W. & Lindberg, Per Olov, 2014. "Extreme values, invariance and choice probabilities," Transportation Research Part B: Methodological, Elsevier, vol. 59(C), pages 81-95.
    3. Dagsvik, John K., 2012. "Behavioral Multistate Duration Models: What should they look like ?," Memorandum 17/2012, Oslo University, Department of Economics.
    4. John K. Dagsvik, 1996. "Dynamic Choice, Multistate Duration Models and Stochastic Structure," Discussion Papers 172, Statistics Norway, Research Department.
    5. Fosgerau, Mogens & Lindberg, Per Olov & Mattsson, Lars-Göran & Weibull, Jörgen, 2015. "Invariance of the distribution of the maximum," MPRA Paper 63529, University Library of Munich, Germany.
    6. Mogens Fosgerau & Daniel L. McFadden & Michel Bierlaire, 2012. "Choice Probability Generating Functions," NBER Working Papers 17970, National Bureau of Economic Research, Inc.
    7. John K. Dagsvik, 2012. "Behavioral multistate duration models. What should they look like?," Discussion Papers 688, Statistics Norway, Research Department.

  19. Christer Anderstig & Lars‐Göran Mattsson, 1991. "An Integrated Model Of Residential And Employment Location In A Metropolitan Region," Papers in Regional Science, Wiley Blackwell, vol. 70(2), pages 167-184, April.

    Cited by:

    1. Vold, Arild, 2005. "Optimal land use and transport planning for the Greater Oslo area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(6), pages 548-565, July.
    2. 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.
    3. Katarzyna Kopczewska & Mateusz Kopyt & Piotr Ćwiakowski, 2021. "Spatial Interactions in Business and Housing Location Models," Land, MDPI, vol. 10(12), pages 1-25, December.
    4. Eliasson, Jonas & Mattsson, Lars-Göran, 2000. "A model for integrated analysis of household location and travel choices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(5), pages 375-394, June.
    5. Gjestland, Arnstein & Thorsen, Inge & Uboe, Jan, 1999. "Some Aspects on the Intraregional spatial Distribution of Local Sector Activities," ERSA conference papers ersa99pa416, European Regional Science Association.
    6. Michael Wegener & Franz Fuerst, 2004. "Land-Use Transport Interaction: State of the Art," Urban/Regional 0409005, University Library of Munich, Germany.
    7. Rui Ding, 2019. "The Complex Network Theory-Based Urban Land-Use and Transport Interaction Studies," Complexity, Hindawi, vol. 2019, pages 1-14, June.
    8. Ma, Xiaosu & Lo, Hong K., 2012. "Modeling transport management and land use over time," Transportation Research Part B: Methodological, Elsevier, vol. 46(6), pages 687-709.
    9. Qiang Meng & Hai Yang & Sze-Chun Wong, 2000. "A Combined Land-Use and Transportation Model for Work Trips," Environment and Planning B, , vol. 27(1), pages 93-103, February.
    10. Boyce, David & Mattsson, Lars-Göran, 1999. "Modeling residential location choice in relation to housing location and road tolls on congested urban highway networks," Transportation Research Part B: Methodological, Elsevier, vol. 33(8), pages 581-591, November.
    11. Mattsson, Lars-Goeran & Sjoelin, Lina, 2002. "Transport and location effects of a ring road with or without road pricing," ERSA conference papers ersa02p056, European Regional Science Association.
    12. Mahmood Shoorcheh & Hamidreza Varesi & Jamal Mohammadi & Todd Litman, 2016. "Urban Growth Structure and Travel Behavior in Tehran City," Modern Applied Science, Canadian Center of Science and Education, vol. 10(8), pages 1-32, August.
    13. Boyce, David, 2007. "Future research on urban transportation network modeling," Regional Science and Urban Economics, Elsevier, vol. 37(4), pages 472-481, July.
    14. Chang, Justin Sueun & Mackett, Roger Laurence, 2006. "A bi-level model of the relationship between transport and residential location," Transportation Research Part B: Methodological, Elsevier, vol. 40(2), pages 123-146, February.
    15. Jonsson, R. Daniel, 2008. "Analysing sustainability in a land-use and transport system," Journal of Transport Geography, Elsevier, vol. 16(1), pages 28-41.
    16. Li, Tongfei & Sun, Huijun & Wu, Jianjun & Ge, Ying-en, 2017. "Optimal toll of new highway in the equilibrium framework of heterogeneous households' residential location choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 105(C), pages 123-137.
    17. Vold, Arild, 2006. "Phased implementation of transport pricing for Greater Oslo," Transport Policy, Elsevier, vol. 13(2), pages 140-148, March.
    18. C K Wong & C O Tong & S C Wong, 1999. "The Development and Calibration of a Lowry Model with Multiple Market Segments," Environment and Planning A, , vol. 31(11), pages 1905-1918, November.
    19. Lopes, André Soares & Cavalcante, Camila Bandeira & Vale, David Sousa & Loureiro, Carlos Felipe Grangeiro, 2020. "Convergence of planning practices towards LUT integration: Seeking evidences in a developing country," Land Use Policy, Elsevier, vol. 99(C).
    20. Xu, Meng & Grant-Muller, Susan, 2016. "Trip mode and travel pattern impacts of a Tradable Credits Scheme: A case study of Beijing," Transport Policy, Elsevier, vol. 47(C), pages 72-83.

  20. Anderstig, Christer & Mattsson, Lars-Goran, 1989. "Interregional Allocation Models of Infrastructure Investments," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 23(4), pages 287-298.

    Cited by:

    1. Alexiadis, Stilianos & Eleftheriou, Konstantinos, 2010. "The ‘Trade-off’ between Spatial Equity and Economic Efficiency Revisited: Evidence from the US States," MPRA Paper 24372, University Library of Munich, Germany.
    2. Mohanty, Biswajit & Bhanumurthy, N. R. & Dastidar, Ananya Ghosh, 2017. "What explains Regional Imbalances in Infrastructure?: Evidence from Indian States," Working Papers 17/197, National Institute of Public Finance and Policy.
    3. Biswajit Mohanty & N.R. Bhanumurthy & Ananya Ghosh Dastidar, 2017. "What explains regional imbalances in public infrastructure expenditure? Evidence from Indian states," Asia-Pacific Development Journal, United Nations Economic and Social Commission for Asia and the Pacific (ESCAP), vol. 24(2), pages 113-139, December.
    4. Kemmerling, Achim & Stephan, Andreas, 2015. "Comparative political economy of regional transport infrastructure investment in Europe," Journal of Comparative Economics, Elsevier, vol. 43(1), pages 227-239.

  21. L-G Mattsson, 1987. "Urban Welfare Maximization and Housing Market Equilibrium in a Random Utility Setting," Environment and Planning A, , vol. 19(2), pages 247-261, February.

    Cited by:

    1. Ng, Ka Fai & Lo, Hong K., 2015. "Optimal housing supply in a bid-rent equilibrium framework," Transportation Research Part B: Methodological, Elsevier, vol. 74(C), pages 62-78.
    2. Boyce, David & Mattsson, Lars-Göran, 1999. "Modeling residential location choice in relation to housing location and road tolls on congested urban highway networks," Transportation Research Part B: Methodological, Elsevier, vol. 33(8), pages 581-591, November.
    3. Jiang Qian Ying, 2015. "Optimization for Multiclass Residential Location Models with Congestible Transportation Networks," Transportation Science, INFORMS, vol. 49(3), pages 452-471, August.

  22. Mattsson, Lars-Goran, 1984. "Equivalence between welfare and entropy approaches to residential location," Regional Science and Urban Economics, Elsevier, vol. 14(2), pages 147-173, May.

    Cited by:

    1. Eliasson, Jonas & Mattsson, Lars-Göran, 2000. "A model for integrated analysis of household location and travel choices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(5), pages 375-394, June.
    2. Erik Bergkvist, 2001. "The value of time and forecasting of flowsin freight transportation," ERSA conference papers ersa01p271, European Regional Science Association.
    3. Börje Johansson & Johan Klaesson, 2017. "Distance decay for supply and demand potentials," Letters in Spatial and Resource Sciences, Springer, vol. 10(1), pages 87-108, March.
    4. Ma, Xiaosu & Lo, Hong K., 2012. "Modeling transport management and land use over time," Transportation Research Part B: Methodological, Elsevier, vol. 46(6), pages 687-709.
    5. Boyce, David & Mattsson, Lars-Göran, 1999. "Modeling residential location choice in relation to housing location and road tolls on congested urban highway networks," Transportation Research Part B: Methodological, Elsevier, vol. 33(8), pages 581-591, November.
    6. Johansson, Börje & Klaesson, Johan & Olsson, Michael, 2002. "On the non-linearity of the willingness to commute," ERSA conference papers ersa02p476, European Regional Science Association.

  23. Lars‐Göran Mattsson, 1984. "Some Applications Of Welfare Maximization Approaches To Residential Location," Papers in Regional Science, Wiley Blackwell, vol. 55(1), pages 103-120, January.

    Cited by:

    1. Klaesson, Johan & Johansson, Börje, 2008. "Agglomeration Dynamics of Business Services," Working Paper Series in Economics and Institutions of Innovation 153, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.

  24. Lundqvist, Lars & Mattsson, Lars-Goran, 1983. "Transportation systems and residential location," European Journal of Operational Research, Elsevier, vol. 12(3), pages 279-294, March.

    Cited by:

    1. Chang, Justin Sueun & Mackett, Roger Laurence, 2006. "A bi-level model of the relationship between transport and residential location," Transportation Research Part B: Methodological, Elsevier, vol. 40(2), pages 123-146, February.

  25. Mattsson, Lars-Goran & Weibull, Jorgen W., 1981. "Competition and accessibility on a regional labour market," Regional Science and Urban Economics, Elsevier, vol. 11(4), pages 471-497, November.

    Cited by:

    1. Cécile Détang-Dessendre & Carl Gaigné, 2009. "Unemployment duration, city size, and the tightness of the labor market," Working Papers SMART 09-04, INRAE UMR SMART.
    2. Mark Burkey, 2012. "Decomposing geographic accessibility into component parts: methods and an application to hospitals," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 48(3), pages 783-800, June.
    3. Fosgerau, Mogens & Lindberg, Per Olov & Mattsson, Lars-Göran & Weibull, Jörgen, 2018. "A note on the invariance of the distribution of the maximum," Journal of Mathematical Economics, Elsevier, vol. 74(C), pages 56-61.
    4. Kingsley E. Haynes, 1997. "Labor markets and regional transportation improvements: the case of high-speed trains An introduction and review," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 31(1), pages 57-76.
    5. Philip S. Morrison, 2005. "Unemployment and Urban Labour Markets," Urban Studies, Urban Studies Journal Limited, vol. 42(12), pages 2261-2288, November.

Chapters

  1. Katja Berdica & Lars-Göran Mattsson, 2007. "Vulnerability: A Model-Based Case Study of the Road Network in Stockholm," Advances in Spatial Science, in: Alan T. Murray & Tony H. Grubesic (ed.), Critical Infrastructure, chapter 5, pages 81-106, Springer.

    Cited by:

    1. Nima Haghighi & S. Kiavash Fayyaz & Xiaoyue Cathy Liu & Tony H. Grubesic & Ran Wei, 2018. "A Multi-Scenario Probabilistic Simulation Approach for Critical Transportation Network Risk Assessment," Networks and Spatial Economics, Springer, vol. 18(1), pages 181-203, March.
    2. Taylor, Michael A.P. & Susilawati,, 2012. "Remoteness and accessibility in the vulnerability analysis of regional road networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(5), pages 761-771.
    3. Pan, Shouzheng & Yan, Hai & He, Jia & He, Zhengbing, 2021. "Vulnerability and resilience of transportation systems: A recent literature review," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).
    4. Yingying Xing & Jian Lu & Shengdi Chen & Sunanda Dissanayake, 2017. "Vulnerability analysis of urban rail transit based on complex network theory: a case study of Shanghai Metro," Public Transport, Springer, vol. 9(3), pages 501-525, October.
    5. Muriel-Villegas, Juan E. & Alvarez-Uribe, Karla C. & Patiño-Rodríguez, Carmen E. & Villegas, Juan G., 2016. "Analysis of transportation networks subject to natural hazards – Insights from a Colombian case," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 151-165.
    6. Juan Carlos García-Palomares & Javier Gutiérrez & Juan Carlos Martín & Borja Moya-Gómez, 2018. "An analysis of the Spanish high capacity road network criticality," Transportation, Springer, vol. 45(4), pages 1139-1159, July.
    7. Jenelius, Erik, 2010. "User inequity implications of road network vulnerability," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 2(3), pages 57-73.
    8. Martinez-Pastor, Beatriz & Nogal, Maria & O’Connor, Alan & Teixeira, Rui, 2022. "Identifying critical and vulnerable links: A new approach using the Fisher information matrix," International Journal of Critical Infrastructure Protection, Elsevier, vol. 39(C).
    9. Jenelius, Erik & Mattsson, Lars-Göran, 2012. "Road network vulnerability analysis of area-covering disruptions: A grid-based approach with case study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(5), pages 746-760.
    10. Han Liu & Jian Wang, 2018. "Vulnerability Assessment for Cascading Failure in the Highway Traffic System," Sustainability, MDPI, vol. 10(7), pages 1-12, July.
    11. Rodríguez-Núñez, Eduardo & García-Palomares, Juan Carlos, 2014. "Measuring the vulnerability of public transport networks," Journal of Transport Geography, Elsevier, vol. 35(C), pages 50-63.
    12. Chen, Bi Yu & Lam, William H.K. & Sumalee, Agachai & Li, Qingquan & Li, Zhi-Chun, 2012. "Vulnerability analysis for large-scale and congested road networks with demand uncertainty," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(3), pages 501-516.
    13. Ghavami, Seyed Morsal, 2019. "Multi-criteria spatial decision support system for identifying strategic roads in disaster situations," International Journal of Critical Infrastructure Protection, Elsevier, vol. 24(C), pages 23-36.
    14. Federico Rupi & Silvia Bernardi & Guido Rossi & Antonio Danesi, 2015. "The Evaluation of Road Network Vulnerability in Mountainous Areas: A Case Study," Networks and Spatial Economics, Springer, vol. 15(2), pages 397-411, June.
    15. Paramet Luathep & Agachai Sumalee & H. Ho & Fumitaka Kurauchi, 2011. "Large-scale road network vulnerability analysis: a sensitivity analysis based approach," Transportation, Springer, vol. 38(5), pages 799-817, September.
    16. Agostino Torti & Marika Arena & Giovanni Azzone & Piercesare Secchi & Simone Vantini, 2022. "Bridge closure in the road network of Lombardy: a spatio-temporal analysis of the socio-economic impacts," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(4), pages 901-923, October.
    17. Sullivan, J.L. & Novak, D.C. & Aultman-Hall, L. & Scott, D.M., 2010. "Identifying critical road segments and measuring system-wide robustness in transportation networks with isolating links: A link-based capacity-reduction approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(5), pages 323-336, June.

  2. Lars-Göran Mattsson, 2007. "Railway Capacity and Train Delay Relationships," Advances in Spatial Science, in: Alan T. Murray & Tony H. Grubesic (ed.), Critical Infrastructure, chapter 7, pages 129-150, Springer.

    Cited by:

    1. Jovanović, Predrag & Kecman, Pavle & Bojović, Nebojša & Mandić, Dragomir, 2017. "Optimal allocation of buffer times to increase train schedule robustness," European Journal of Operational Research, Elsevier, vol. 256(1), pages 44-54.
    2. Gedik, Ridvan & Medal, Hugh & Rainwater, Chase & Pohl, Ed A. & Mason, Scott J., 2014. "Vulnerability assessment and re-routing of freight trains under disruptions: A coal supply chain network application," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 71(C), pages 45-57.

  3. Lars Lundqvist & Lars-Göran Mattsson, 2002. "National Transport Models: Introduction and Comparative Analysis," Advances in Spatial Science, in: Lars Lundqvist & Lars-Göran Mattsson (ed.), National Transport Models, chapter 1, pages 1-16, Springer.

    Cited by:

    1. David Castells-Quintana & Vicente Royuela, 2018. "Spatially blind policies? Analysing agglomeration economies and European Investment Bank funding in European neighbouring countries," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 60(3), pages 569-589, May.

  4. Christer Anderstig & Lars-Göran Mattsson, 1998. "Modelling Land-Use and Transport Interaction: Policy Analyses Using the IMREL Model," Advances in Spatial Science, in: Lars Lundqvist & Lars-Göran Mattsson & Tschangho John Kim (ed.), Network Infrastructure and the Urban Environment, chapter 17, pages 308-328, Springer.

    Cited by:

    1. Katarzyna Kopczewska & Mateusz Kopyt & Piotr Ćwiakowski, 2021. "Spatial Interactions in Business and Housing Location Models," Land, MDPI, vol. 10(12), pages 1-25, December.
    2. Asif Raza & Muhammad Safdar & Ming Zhong & John Douglas Hunt, 2022. "Analyzing Spatial Location Preference of Urban Activities with Mode-Dependent Accessibility Using Integrated Land Use–Transport Models," Land, MDPI, vol. 11(8), pages 1-31, July.
    3. Boyce, David & Mattsson, Lars-Göran, 1999. "Modeling residential location choice in relation to housing location and road tolls on congested urban highway networks," Transportation Research Part B: Methodological, Elsevier, vol. 33(8), pages 581-591, November.
    4. Mattsson, Lars-Goeran & Sjoelin, Lina, 2002. "Transport and location effects of a ring road with or without road pricing," ERSA conference papers ersa02p056, European Regional Science Association.
    5. Asif Raza & Ming Zhong & Muhammad Safdar, 2022. "Evaluating Locational Preference of Urban Activities with the Time-Dependent Accessibility Using Integrated Spatial Economic Models," IJERPH, MDPI, vol. 19(14), pages 1-33, July.
    6. Jonsson, R. Daniel, 2008. "Analysing sustainability in a land-use and transport system," Journal of Transport Geography, Elsevier, vol. 16(1), pages 28-41.
    7. Glenn, Paul & Thorsen, Inge & Ubøe, Jan, 2004. "Wage payoffs and distance deterrence in the journey to work," Transportation Research Part B: Methodological, Elsevier, vol. 38(9), pages 853-867, November.

  5. Lars Lundqvist & Lars-Göran Mattsson & Tschangho John Kim, 1998. "Network Infrastructure and the Urban Environment: Introduction and Summary," Advances in Spatial Science, in: Lars Lundqvist & Lars-Göran Mattsson & Tschangho John Kim (ed.), Network Infrastructure and the Urban Environment, chapter 1, pages 1-16, Springer.

    Cited by:

    1. Katarzyna Kopczewska & Mateusz Kopyt & Piotr Ćwiakowski, 2021. "Spatial Interactions in Business and Housing Location Models," Land, MDPI, vol. 10(12), pages 1-25, December.
    2. Asif Raza & Muhammad Safdar & Ming Zhong & John Douglas Hunt, 2022. "Analyzing Spatial Location Preference of Urban Activities with Mode-Dependent Accessibility Using Integrated Land Use–Transport Models," Land, MDPI, vol. 11(8), pages 1-31, July.
    3. Asif Raza & Ming Zhong & Muhammad Safdar, 2022. "Evaluating Locational Preference of Urban Activities with the Time-Dependent Accessibility Using Integrated Spatial Economic Models," IJERPH, MDPI, vol. 19(14), pages 1-33, July.

Books

  1. Lars Lundqvist & Lars-Göran Mattsson (ed.), 2002. "National Transport Models," Advances in Spatial Science, Springer, number 978-3-662-04853-5.

    Cited by:

    1. West, Jens & Börjesson, Maria & Engelson, Leonid, 2016. "Accuracy of the Gothenburg congestion charges forecast," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 266-277.
    2. Börjesson, Maria & Brundell-Freij, Karin & Eliasson, Jonas, 2014. "Not invented here: Transferability of congestion charges effects," Transport Policy, Elsevier, vol. 36(C), pages 263-271.
    3. 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).
    4. Robert Sörensson, 2012. "Population and employment location in Swedish municipalities 1994–2004," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 48(3), pages 743-762, June.
    5. Börjesson, Maria, 2014. "Forecasting demand for high speed rail," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 81-92.
    6. David Castells-Quintana & Vicente Royuela, 2018. "Spatially blind policies? Analysing agglomeration economies and European Investment Bank funding in European neighbouring countries," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 60(3), pages 569-589, May.
    7. Daniel Jonsson & Anders Karlström & Masoud Fadaei Oshyani & Per Olsson, 2014. "Reconciling User Benefit and Time-Geography-Based Individual Accessibility Measures," Environment and Planning B, , vol. 41(6), pages 1031-1043, December.
    8. Odeck, James, 2013. "How accurate are national road traffic growth-rate forecasts?—The case of Norway," Transport Policy, Elsevier, vol. 27(C), pages 102-111.
    9. Ida Kristoffersson & Leonid Engelson, 2011. "Modifications of the Stockholm congestion pricing scheme and effects on different user groups," ERSA conference papers ersa10p1455, European Regional Science Association.
    10. West , Jens & Börjesson , Maria & Engelson , Leonid, 2016. "Forecasting effects of congestion charges," Working papers in Transport Economics 2016:9, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    11. Koppelman, Frank S. & Sethi, Vaneet, 2005. "Incorporating variance and covariance heterogeneity in the Generalized Nested Logit model: an application to modeling long distance travel choice behavior," Transportation Research Part B: Methodological, Elsevier, vol. 39(9), pages 825-853, November.
    12. Jonsson, R. Daniel, 2008. "Analysing sustainability in a land-use and transport system," Journal of Transport Geography, Elsevier, vol. 16(1), pages 28-41.
    13. Rich, J. & Kveiborg, O. & Hansen, C.O., 2011. "On structural inelasticity of modal substitution in freight transport," Journal of Transport Geography, Elsevier, vol. 19(1), pages 134-146.
    14. Börjesson, Maria, 2012. "Inter-temporal variation in the travel time and travel cost parameters of transport models," Working papers in Transport Economics 2012:16, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    15. Börjesson, Maria & Kristoffersson, Ida, 2015. "The Gothenburg congestion charge. Effects, design and politics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 75(C), pages 134-146.
    16. West, Jens & Börjesson, Maria, 2016. "The Gothenburg congestion charges: CBA and equity," Working papers in Transport Economics 2016:17, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    17. Caleb Van Nostrand & Vijayaraghavan Sivaraman & Abdul Pinjari, 2013. "Analysis of long-distance vacation travel demand in the United States: a multiple discrete–continuous choice framework," Transportation, Springer, vol. 40(1), pages 151-171, January.
    18. Börjesson, Maria, 2012. "Forecasting demand for high speed rail," Working papers in Transport Economics 2012:12, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    19. Faza Fawzan Bastarianto & Muhammad Zudhy Irawan & Charisma Choudhury & David Palma & Imam Muthohar, 2019. "A Tour-Based Mode Choice Model for Commuters in Indonesia," Sustainability, MDPI, vol. 11(3), pages 1-20, February.
    20. Andersson, Matts & Brundell-Freij, Karin & Eliasson, Jonas, 2016. "Validation of reference forecasts for passenger transport," Working papers in Transport Economics 2016:15, CTS - Centre for Transport Studies Stockholm (KTH and VTI), revised 07 Jul 2016.

  2. Lars Lundqvist & Lars-Göran Mattsson & Tschangho John Kim (ed.), 1998. "Network Infrastructure and the Urban Environment," Advances in Spatial Science, Springer, number 978-3-642-72242-4.

    Cited by:

    1. Hidekazu Itoh, 2015. "An Interregional SAM Construction focused on Institutional Sectors and Structural Path Analysis in Japan," Post-Print hal-01123567, HAL.
    2. Katarzyna Kopczewska & Mateusz Kopyt & Piotr Ćwiakowski, 2021. "Spatial Interactions in Business and Housing Location Models," Land, MDPI, vol. 10(12), pages 1-25, December.
    3. Eliasson, Jonas & Mattsson, Lars-Göran, 2000. "A model for integrated analysis of household location and travel choices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(5), pages 375-394, June.
    4. Gjestland, Arnstein & Thorsen, Inge & Uboe, Jan, 1999. "Some Aspects on the Intraregional spatial Distribution of Local Sector Activities," ERSA conference papers ersa99pa416, European Regional Science Association.
    5. Liv Osland & Inge Thorsen, 2006. "Evaluating Housing Price Predictability of Alternative Hedonic Model Formulations," ERSA conference papers ersa06p492, European Regional Science Association.
    6. Michael Wegener & Franz Fuerst, 2004. "Land-Use Transport Interaction: State of the Art," Urban/Regional 0409005, University Library of Munich, Germany.
    7. L. M. Briceño-Arias & F. Martínez, 2018. "Short-Term Land use Planning and Optimal Subsidies," Networks and Spatial Economics, Springer, vol. 18(4), pages 973-997, December.
    8. Hidekazu Itoh, 2016. "Understanding of economic spillover mechanism by structural path analysis: a case study of interregional social accounting matrix focused on institutional sectors in Japan," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 5(1), pages 1-20, December.
    9. Jan Ubøe, 2004. "Aggregation of Gravity Models for Journeys to Work," Environment and Planning A, , vol. 36(4), pages 715-729, April.
    10. Mattias Höjer, 2002. "A Hundred Nodes in the Stockholm Region: A Simple Calculation of the Effects on Commuting," Environment and Planning B, , vol. 29(2), pages 197-217, April.
    11. Ma, Xiaosu & Lo, Hong K., 2012. "Modeling transport management and land use over time," Transportation Research Part B: Methodological, Elsevier, vol. 46(6), pages 687-709.
    12. Robson, Edward N. & Wijayaratna, Kasun P. & Dixit, Vinayak V., 2018. "A review of computable general equilibrium models for transport and their applications in appraisal," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 31-53.
    13. Asif Raza & Muhammad Safdar & Ming Zhong & John Douglas Hunt, 2022. "Analyzing Spatial Location Preference of Urban Activities with Mode-Dependent Accessibility Using Integrated Land Use–Transport Models," Land, MDPI, vol. 11(8), pages 1-31, July.
    14. Edward N. Robson & Vinayak V. Dixit, 2017. "A General Equilibrium Framework for Integrated Assessment of Transport and Economic Impacts," Networks and Spatial Economics, Springer, vol. 17(3), pages 989-1013, September.
    15. Michael Wegener, 2011. "Transport in Spatial Models of Economic Development," Chapters, in: André de Palma & Robin Lindsey & Emile Quinet & Roger Vickerman (ed.), A Handbook of Transport Economics, chapter 3, Edward Elgar Publishing.
    16. Lefèvre, Benoit, 2009. "Long-term energy consumptions of urban transportation: A prospective simulation of "transport-land uses" policies in Bangalore," Energy Policy, Elsevier, vol. 37(3), pages 940-953, March.
    17. Boyce, David & Mattsson, Lars-Göran, 1999. "Modeling residential location choice in relation to housing location and road tolls on congested urban highway networks," Transportation Research Part B: Methodological, Elsevier, vol. 33(8), pages 581-591, November.
    18. Huang, Hai-Jun & Lam, William H. K., 2002. "Modeling and solving the dynamic user equilibrium route and departure time choice problem in network with queues," Transportation Research Part B: Methodological, Elsevier, vol. 36(3), pages 253-273, March.
    19. Mattsson, Lars-Goeran & Sjoelin, Lina, 2002. "Transport and location effects of a ring road with or without road pricing," ERSA conference papers ersa02p056, European Regional Science Association.
    20. Mahmood Shoorcheh & Hamidreza Varesi & Jamal Mohammadi & Todd Litman, 2016. "Urban Growth Structure and Travel Behavior in Tehran City," Modern Applied Science, Canadian Center of Science and Education, vol. 10(8), pages 1-32, August.
    21. Robin Lindsey, 2006. "Do Economists Reach A Conclusion on Road Pricing? The Intellectual History of an Idea," Econ Journal Watch, Econ Journal Watch, vol. 3(2), pages 292-379, May.
    22. Edwin S. Mills, 2002. "Government Urban Growth Controls," International Real Estate Review, Global Social Science Institute, vol. 5(1), pages 1-11.
    23. Asif Raza & Ming Zhong & Muhammad Safdar, 2022. "Evaluating Locational Preference of Urban Activities with the Time-Dependent Accessibility Using Integrated Spatial Economic Models," IJERPH, MDPI, vol. 19(14), pages 1-33, July.
    24. Inge Thorsen & Jens Petter Gitlesen, 2002. "A Simulation Approach to Studying the Sensitivity of Commuting-Flow Predictions with Respect to Specific Changes in Spatial Structure," Environment and Planning A, , vol. 34(2), pages 271-288, February.
    25. Osland, Liv & Thorsen, Inge, 2007. "Predicting housing prices at alternative locations and in alternative scenarios of the spatial job distribution," Working Papers in Economics 16/07, University of Bergen, Department of Economics.
    26. Tu, Ningwen & Adiputranto, Dimas & Fu, Xiaowen & Li, Zhi-Chun, 2018. "Shipping network design in a growth market: The case of Indonesia," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 117(C), pages 108-125.
    27. Euijune Kim & Geoffrey J.D. Hewings & Hidayat Amir, 2015. "Project Evaluation of Transportation Projects: an Application of Financial Computable General Equilibrium Model," ERSA conference papers ersa15p453, European Regional Science Association.
    28. England, Richard W., 2007. "Motor fuel taxation, energy conservation, and economic development: A regional approach," Ecological Economics, Elsevier, vol. 61(2-3), pages 409-416, March.
    29. Colwell, Peter F. & Dehring, Carolyn A. & Turnbull, Geoffrey K., 2002. "Recreation Demand and Residential Location," Journal of Urban Economics, Elsevier, vol. 51(3), pages 418-428, May.
    30. Schürmann, Carsten & Moeckel, Rolf & Wegener, Michael, 2002. "Microsimulation of urban land use," ERSA conference papers ersa02p261, European Regional Science Association.
    31. Jonsson, R. Daniel, 2008. "Analysing sustainability in a land-use and transport system," Journal of Transport Geography, Elsevier, vol. 16(1), pages 28-41.
    32. Glenn, Paul & Thorsen, Inge & Ubøe, Jan, 2004. "Wage payoffs and distance deterrence in the journey to work," Transportation Research Part B: Methodological, Elsevier, vol. 38(9), pages 853-867, November.
    33. World Bank, 2008. "Brazil : Evaluating the Macroeconomic and Distributional Impacts of Lowering Transportation Costs," World Bank Publications - Reports 8083, The World Bank Group.

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