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The impact of stop-making and travel time reliability on commute mode choice

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Cited by:

  1. Bhat, Chandra R., 2011. "The maximum approximate composite marginal likelihood (MACML) estimation of multinomial probit-based unordered response choice models," Transportation Research Part B: Methodological, Elsevier, vol. 45(7), pages 923-939, August.
  2. Li, Weibo & Kamargianni, Maria, 2018. "Providing quantified evidence to policy makers for promoting bike-sharing in heavily air-polluted cities: A mode choice model and policy simulation for Taiyuan-China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 277-291.
  3. Stephane Hess, 2014. "Latent class structures: taste heterogeneity and beyond," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 14, pages 311-330, Edward Elgar Publishing.
  4. Chakrabarti, Sandip & Giuliano, Genevieve, 2015. "Does service reliability determine transit patronage? Insights from the Los Angeles Metro bus system," Transport Policy, Elsevier, vol. 42(C), pages 12-20.
  5. Matthias Sweet & Mengke Chen, 2011. "Does regional travel time unreliability influence mode choice?," Transportation, Springer, vol. 38(4), pages 625-642, July.
  6. Palhazi Cuervo, Daniel & Kessels, Roselinde & Goos, Peter & Sörensen, Kenneth, 2016. "An integrated algorithm for the optimal design of stated choice experiments with partial profiles," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 648-669.
  7. Jindo Jeong & Jiwon Lee & Tae‐Hyoung Tommy Gim, 2022. "Travel mode choice as a representation of travel utility: A multilevel approach reflecting the hierarchical structure of trip, individual, and neighborhood characteristics," Papers in Regional Science, Wiley Blackwell, vol. 101(3), pages 745-765, June.
  8. Fang, Jia & Yan, Xiang & Bejleri, Ilir & Chen, Changjie, 2022. "Which trip destination matters? Estimating the influence of the built environment on mode choice for home-based complex tours," Journal of Transport Geography, Elsevier, vol. 105(C).
  9. Elisabetta Cherchi & Juan de Dios Ortúzar, 2011. "On the Use of Mixed RP/SP Models in Prediction: Accounting for Systematic and Random Taste Heterogeneity," Transportation Science, INFORMS, vol. 45(1), pages 98-108, February.
  10. Hossan, Md Sakoat & Asgari, Hamidreza & Jin, Xia, 2016. "Investigating preference heterogeneity in Value of Time (VOT) and Value of Reliability (VOR) estimation for managed lanes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 638-649.
  11. 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.
  12. Paleti, Rajesh & Bhat, Chandra R., 2013. "The composite marginal likelihood (CML) estimation of panel ordered-response models," Journal of choice modelling, Elsevier, vol. 7(C), pages 24-43.
  13. Deka, Devajyoti, 2013. "An explanation of the relationship between adults’ work trip mode and children’s school trip mode through the Heckman approach," Journal of Transport Geography, Elsevier, vol. 31(C), pages 54-63.
  14. Zhu, Dianchen & Sze, N.N. & Feng, Zhongxiang & Chan, Ho-Yin, 2023. "Waiting for signalized crossing or walking to footbridge/underpass? Examining the effect of weather using stated choice experiment with panel mixed random regret minimization approach," Transport Policy, Elsevier, vol. 138(C), pages 144-169.
  15. Young, Mischa & Allen, Jeff & Farber, Steven, 2019. "Measuring when Uber behaves as a substitute or complement to transit: An examination of travel-time differences in Toronto," OSF Preprints hvbma, Center for Open Science.
  16. Krueger, Rico & Bierlaire, Michel & Daziano, Ricardo A. & Rashidi, Taha H. & Bansal, Prateek, 2021. "Evaluating the predictive abilities of mixed logit models with unobserved inter- and intra-individual heterogeneity," Journal of choice modelling, Elsevier, vol. 41(C).
  17. Denstadli, Jon Martin & Julsrud, Tom Erik & Christiansen, Petter, 2017. "Urban commuting – A threat to the work-family balance?," Journal of Transport Geography, Elsevier, vol. 61(C), pages 87-94.
  18. Mashrur, Sk.Md. & Wang, Kaili & Habib, Khandker Nurul, 2022. "Will COVID-19 be the end for the public transit? Investigating the impacts of public health crisis on transit mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 164(C), pages 352-378.
  19. Elisheba Spiller & Heather Stephens & Christopher Timmins & Allison Smith, 2014. "The Effect of Gasoline Taxes and Public Transit Investments on Driving Patterns," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 59(4), pages 633-657, December.
  20. Xu, Minhao & Shuai, Bin & Wang, Xin & Liu, Hongyi & Zhou, Hui, 2023. "Analysis of the accessibility of connecting transport at High-speed rail stations from the perspective of departing passengers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
  21. Bhat, Chandra R. & Pinjari, Abdul R. & Dubey, Subodh K. & Hamdi, Amin S., 2016. "On accommodating spatial interactions in a Generalized Heterogeneous Data Model (GHDM) of mixed types of dependent variables," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 240-263.
  22. Sandip Chakrabarti & Genevieve Giuliano, 2014. "Does service reliability influence transit patronage? Evidence from Los Angeles, and implications for transit policy," Working Paper 9297, USC Lusk Center for Real Estate.
  23. Tseng, Yin-Yen & Verhoef, Erik T., 2008. "Value of time by time of day: A stated-preference study," Transportation Research Part B: Methodological, Elsevier, vol. 42(7-8), pages 607-618, August.
  24. Carrion, Carlos & Levinson, David, 2012. "Value of travel time reliability: A review of current evidence," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(4), pages 720-741.
  25. Chandra R. Bhat & Patrícia S. Lavieri, 2018. "A new mixed MNP model accommodating a variety of dependent non-normal coefficient distributions," Theory and Decision, Springer, vol. 84(2), pages 239-275, March.
  26. Yue Liu & Jun Chen & Weiguang Wu & Jiao Ye, 2019. "Typical Combined Travel Mode Choice Utility Model in Multimodal Transportation Network," Sustainability, MDPI, vol. 11(2), pages 1-15, January.
  27. S., Minal & Chalumuri (Ch.), Ravi Sekhar, 2016. "Commuter's sensitivity in mode choice: An empirical study of New Delhi," Journal of Transport Geography, Elsevier, vol. 57(C), pages 207-217.
  28. Zaher Youssef & Habib Alshuwaikhat & Imran Reza, 2021. "Modeling the Modal Shift towards a More Sustainable Transport by Stated Preference in Riyadh, Saudi Arabia," Sustainability, MDPI, vol. 13(1), pages 1-19, January.
  29. Rajesh S. Prabhu Gaonkar & V. Mariappan, 0. "Transportation time reliability appraisal in maritime context," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 0, pages 1-11.
  30. Gurmesh Sihag & Praveen Kumar & Manoranjan Parida, 2023. "Development of a Machine-Learning-Based Novel Framework for Travel Time Distribution Determination Using Probe Vehicle Data," Data, MDPI, vol. 8(3), pages 1-18, March.
  31. Spiller, Elisheba & Stephens, Heather M. & Timmins, Christopher & Smith, Allison, 2012. "Does the Substitutability of Public Transit Affect Commuters’ Response to Gasoline Price Changes?," RFF Working Paper Series dp-12-29, Resources for the Future.
  32. Joseph F. Wyer, 2018. "Urban Transportation Mode Choice And Trip Complexity: Bicyclists Stick To Their Gears," Economic Inquiry, Western Economic Association International, vol. 56(3), pages 1777-1787, July.
  33. Tyndall, Justin, 2018. "Bus quality improvements and local commuter mode share," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 173-183.
  34. Link, Heike, 2019. "The impact of including service quality into efficiency analysis: The case of franchising regional rail passenger serves in Germany," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 284-300.
  35. Anne Brown & Whitney LaValle, 2021. "Hailing a change: comparing taxi and ridehail service quality in Los Angeles," Transportation, Springer, vol. 48(2), pages 1007-1031, April.
  36. Li, Hao & Gao, Kun & Tu, Huizhao, 2017. "Variations in mode-specific valuations of travel time reliability and in-vehicle crowding: Implications for demand estimation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 250-263.
  37. Rajesh Paleti & Peter Vovsha & Danny Givon & Yehoshua Birotker, 2015. "Impact of individual daily travel pattern on value of time," Transportation, Springer, vol. 42(6), pages 1003-1017, November.
  38. Dixit, Vinayak V. & Harb, Rami C. & Martínez-Correa, Jimmy & Rutström, Elisabet E., 2015. "Measuring risk aversion to guide transportation policy: Contexts, incentives, and respondents," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 15-34.
  39. Faghih-Imani, Ahmadreza & Anowar, Sabreena & Miller, Eric J. & Eluru, Naveen, 2017. "Hail a cab or ride a bike? A travel time comparison of taxi and bicycle-sharing systems in New York City," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 11-21.
  40. Giansoldati, Marco & Danielis, Romeo & Rotaris, Lucia, 2021. "Train-feeder modes in Italy. Is there a role for active mobility?," Research in Transportation Economics, Elsevier, vol. 86(C).
  41. Agarwal, Sumit & Diao, Mi & Keppo, Jussi & Sing, Tien Foo, 2020. "Preferences of public transit commuters: Evidence from smart card data in Singapore," Journal of Urban Economics, Elsevier, vol. 120(C).
  42. Wang, Rui, 2015. "The stops made by commuters: evidence from the 2009 US National Household Travel Survey," Journal of Transport Geography, Elsevier, vol. 47(C), pages 109-118.
  43. Daganzo, Carlos & Anderson, Paul, 2016. "Coordinating Transit Transfers in Real Time," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt25h4r974, Institute of Transportation Studies, UC Berkeley.
  44. Young, Mischa & Allen, Jeff & Farber, Steven, 2020. "Measuring when Uber behaves as a substitute or supplement to transit: An examination of travel-time differences in Toronto," Journal of Transport Geography, Elsevier, vol. 82(C).
  45. Abate, Megersa & Lijesen, Mark & Pels, Eric & Roelevelt, Adriaan, 2013. "The impact of reliability on the productivity of railroad companies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 51(C), pages 41-49.
  46. Chandra R. Bhat & Rajesh Paleti & Palvinder Singh, 2014. "A Spatial Multivariate Count Model For Firm Location Decisions," Journal of Regional Science, Wiley Blackwell, vol. 54(3), pages 462-502, June.
  47. Piening, J. & Ehrmann, T. & Meiseberg, B., 2013. "Competing risks for train tickets – An empirical investigation of customer behavior and performance in the railway industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 51(C), pages 1-16.
  48. Dissanayake, Dilum & Morikawa, Takayuki, 2010. "Investigating household vehicle ownership, mode choice and trip sharing decisions using a combined revealed preference/stated preference Nested Logit model: case study in Bangkok Metropolitan Region," Journal of Transport Geography, Elsevier, vol. 18(3), pages 402-410.
  49. Danaf, Mazen & Atasoy, Bilge & Ben-Akiva, Moshe, 2020. "Logit mixture with inter and intra-consumer heterogeneity and flexible mixing distributions," Journal of choice modelling, Elsevier, vol. 35(C).
  50. Chang, Justin S., 2010. "Assessing travel time reliability in transport appraisal," Journal of Transport Geography, Elsevier, vol. 18(3), pages 419-425.
  51. Mingzhu Song & Yi Zhang & Meng Li & Yi Zhang, 2021. "Accessibility of Transit Stops with Multiple Feeder Modes: Walking and Private-Bike Cycling," Sustainability, MDPI, vol. 13(6), pages 1-27, March.
  52. Bhat, Chandra R. & Sidharthan, Raghuprasad, 2011. "A simulation evaluation of the maximum approximate composite marginal likelihood (MACML) estimator for mixed multinomial probit models," Transportation Research Part B: Methodological, Elsevier, vol. 45(7), pages 940-953, August.
  53. van Loon, Ruben & Rietveld, Piet & Brons, Martijn, 2011. "Travel-time reliability impacts on railway passenger demand: a revealed preference analysis," Journal of Transport Geography, Elsevier, vol. 19(4), pages 917-925.
  54. Andrew Daly & Stephane Hess & Christine Eckert, 2013. "Workshop report: working with repeated choice data," Chapters, in: Stephane Hess & Andrew Daly (ed.), Choice Modelling, chapter 4, pages 91-106, Edward Elgar Publishing.
  55. Hess, Stephane & Train, Kenneth E., 2011. "Recovery of inter- and intra-personal heterogeneity using mixed logit models," Transportation Research Part B: Methodological, Elsevier, vol. 45(7), pages 973-990, August.
  56. Wessel, Nate, 2019. "Accessibility Beyond the Schedule," SocArXiv c4yvx, Center for Open Science.
  57. Rashedi, Zohreh & Mahmoud, Mohamed & Hasnine, Sami & Habib, Khandker Nurul, 2017. "On the factors affecting the choice of regional transit for commuting in Greater Toronto and Hamilton Area: Application of an advanced RP-SP choice model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 105(C), pages 1-13.
  58. Wang, Bing & Li, Shuai & Wang, Qi & Lin, Zhenhong, 2020. "Understanding travelers’ mobility decisions in response to customer incentives," Transport Policy, Elsevier, vol. 97(C), pages 113-120.
  59. Ipek Sener & Naveen Eluru & Chandra Bhat, 2009. "An analysis of bicycle route choice preferences in Texas, US," Transportation, Springer, vol. 36(5), pages 511-539, September.
  60. Puteri Paramita & Zuduo Zheng & Md Mazharul Haque & Simon Washington & Paul Hyland, 2018. "User satisfaction with train fares: A comparative analysis in five Australian cities," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-26, June.
  61. Rajesh S. Prabhu Gaonkar & V. Mariappan, 2020. "Transportation time reliability appraisal in maritime context," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(3), pages 736-746, June.
  62. Bliemer, Michiel C.J. & Rose, John M., 2011. "Experimental design influences on stated choice outputs: An empirical study in air travel choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(1), pages 63-79, January.
  63. Hasnine, Md Sami & Habib, Khandker Nurul, 2018. "What about the dynamics in daily travel mode choices? A dynamic discrete choice approach for tour-based mode choice modelling," Transport Policy, Elsevier, vol. 71(C), pages 70-80.
  64. Loa, Patrick & Ong, Felita & Hawkins, Jason & Nurul Habib, Khandker, 2023. "Unravelling the relationship between ride-sourcing services and conventional modes in the city of Toronto: A stated preference study," Transport Policy, Elsevier, vol. 141(C), pages 209-220.
  65. Loría, Luis Enrique & Watson, Verity & Kiso, Takahiko & Phimister, Euan, 2019. "Investigating users' preferences for Low Emission Buses: Experiences from Europe's largest hydrogen bus fleet," Journal of choice modelling, Elsevier, vol. 32(C), pages 1-1.
  66. Rong-Chang Jou & Tzu-Ying Chen, 2015. "External Costs to Parties Involved in Highway Traffic Accidents: The Perspective of Highway Users," Sustainability, MDPI, vol. 7(6), pages 1-23, June.
  67. Rupp, Nicholas G., 2009. "Do carriers internalize congestion costs? Empirical evidence on the internalization question," Journal of Urban Economics, Elsevier, vol. 65(1), pages 24-37, January.
  68. Becker, Felix & Danaf, Mazen & Song, Xiang & Atasoy, Bilge & Ben-Akiva, Moshe, 2018. "Bayesian estimator for Logit Mixtures with inter- and intra-consumer heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 1-17.
  69. Chandra Bhat, 2015. "A new spatial (social) interaction discrete choice model accommodating for unobserved effects due to endogenous network formation," Transportation, Springer, vol. 42(5), pages 879-914, September.
  70. Bernal, Margarita & Welch, Eric W. & Sriraj, P.S., 2016. "The effect of slow zones on ridership: An analysis of the Chicago Transit Authority “El” Blue Line," Transportation Research Part A: Policy and Practice, Elsevier, vol. 87(C), pages 11-21.
  71. Weibo Li & Maria Kamargianni, 2020. "Steering short-term demand for car-sharing: a mode choice and policy impact analysis by trip distance," Transportation, Springer, vol. 47(5), pages 2233-2265, October.
  72. Deepa, L. & Pinjari, Abdul Rawoof & Nirmale, Sangram Krishna & Biswas, Mehek & Srinivasan, Karthik K., 2023. "The adverse impact of headway variability on bus transit ridership: Evidence from Bengaluru, India," Transport Policy, Elsevier, vol. 141(C), pages 343-356.
  73. Zidan Mao & Dick Ettema & Martin Dijst, 2018. "Analysis of travel time and mode choice shift for non-work stops in commuting: case study of Beijing, China," Transportation, Springer, vol. 45(3), pages 751-766, May.
  74. Xin Guan & Xin Ye & Cheng Shi & Yajie Zou, 2019. "A Multivariate Modeling Analysis of Commuters’ Non-Work Activity Allocations in Xiaoshan District of Hangzhou, China," Sustainability, MDPI, vol. 11(20), pages 1-19, October.
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