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Satisfaction and uncertainty in car-sharing decisions: An integration of hybrid choice and random regret-based models

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  • Kim, Jinhee
  • Rasouli, Soora
  • Timmermans, Harry

Abstract

Car-sharing systems have attracted increasingly attention as one of several sustainable transportation systems. After joining a car-sharing organization, people can use a shared-car. Because sharing a car involves other members, there is some inherent uncertainty that originates from the possible non-availability of the shared-car. This uncertainty may trigger people to apply decision-making mechanisms other than the maximization of expected utility. In addition, variable satisfaction with current mobility options may affect individuals’ decisions differently. Such uncertainty and satisfaction associated with car-sharing decisions have been largely ignored in previous studies. The present study is designed to examine the effects of latent satisfaction with current mobility options and uncertainty underlying car-sharing decisions. A random-regret minimization-based hybrid choice model is proposed to simultaneously estimate these effects. The model allows investigating car-sharing decisions in both risky and riskless choice contexts. The parameters are estimated based on stated choice data using a Bayesian D-efficient optimal design. The results show that satisfaction significantly affects the car-sharing decision, and that car availability has a significant effect on the likelihood of joining a car-sharing organization.

Suggested Citation

  • Kim, Jinhee & Rasouli, Soora & Timmermans, Harry, 2017. "Satisfaction and uncertainty in car-sharing decisions: An integration of hybrid choice and random regret-based models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 13-33.
    • Handle: RePEc:eee:transa:v:95:y:2017:i:c:p:13-33
    DOI: 10.1016/j.tra.2016.11.005
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    1. Loomes, Graham & Sugden, Robert, 1982. "Regret Theory: An Alternative Theory of Rational Choice under Uncertainty," Economic Journal, Royal Economic Society, vol. 92(368), pages 805-824, December.
    2. Rose, John M. & Bliemer, Michiel C.J. & Hensher, David A. & Collins, Andrew T., 2008. "Designing efficient stated choice experiments in the presence of reference alternatives," Transportation Research Part B: Methodological, Elsevier, vol. 42(4), pages 395-406, May.
    3. Chorus, Caspar G. & Arentze, Theo A. & Timmermans, Harry J.P., 2008. "A Random Regret-Minimization model of travel choice," Transportation Research Part B: Methodological, Elsevier, vol. 42(1), pages 1-18, January.
    4. Caspar G. Chorus, 2014. "Acquisition of Ex-Post Travel Information: A Matter of Balancing Regrets," Transportation Science, INFORMS, vol. 48(2), pages 243-255, May.
    5. Stephane Hess & Amanda Stathopoulos & Andrew Daly, 2012. "Allowing for heterogeneous decision rules in discrete choice models: an approach and four case studies," Transportation, Springer, vol. 39(3), pages 565-591, May.
    6. Caspar Chorus & Michel Bierlaire, 2013. "An empirical comparison of travel choice models that capture preferences for compromise alternatives," Transportation, Springer, vol. 40(3), pages 549-562, May.
    7. Efthymiou, Dimitrios & Antoniou, Constantinos, 2016. "Modeling the propensity to join carsharing using hybrid choice models and mixed survey data," Transport Policy, Elsevier, vol. 51(C), pages 143-149.
    8. Hess, Stephane & Stathopoulos, Amanda, 2013. "A mixed random utility — Random regret model linking the choice of decision rule to latent character traits," Journal of choice modelling, Elsevier, vol. 9(C), pages 27-38.
    9. Dekker, Thijs & Hess, Stephane & Arentze, Theo & Chorus, Caspar, 2014. "Incorporating needs-satisfaction in a discrete choice model of leisure activities," Journal of Transport Geography, Elsevier, vol. 38(C), pages 66-74.
    10. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    11. Efthymiou, Dimitrios & Antoniou, Constantinos & Waddell, Paul, 2013. "Factors affecting the adoption of vehicle sharing systems by young drivers," Transport Policy, Elsevier, vol. 29(C), pages 64-73.
    12. Chorus, Caspar G. & de Jong, Gerard C., 2011. "Modeling experienced accessibility for utility-maximizers and regret-minimizers," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1155-1162.
    13. Shaheen, Susan A & Rodier, Caroline J, 2005. "Travel Effects of a Suburban Commuter Carsharing Service: CarLink Case Study," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt61346539, Institute of Transportation Studies, UC Berkeley.
    14. Shaheen, Susan A & Mallery, Mark A & Kingsley, Karla J, 2012. "Personal vehicle sharing services in North America," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt5tg7x5z0, Institute of Transportation Studies, UC Berkeley.
    15. Quiggin, John, 1994. "Regret Theory with General Choice Sets," Journal of Risk and Uncertainty, Springer, vol. 8(2), pages 153-165, March.
    16. Boeri, Marco & Scarpa, Riccardo & Chorus, Caspar G., 2014. "Stated choices and benefit estimates in the context of traffic calming schemes: Utility maximization, regret minimization, or both?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 121-135.
    17. Ben-Akiva, Moshe & McFadden, Daniel & Train, Kenneth & Börsch-Supan, Axel, 2002. "Hybrid Choice Models: Progress and Challenges," Sonderforschungsbereich 504 Publications 02-29, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    18. Kim, Jinhee & Rasouli, Soora & Timmermans, Harry, 2014. "Expanding scope of hybrid choice models allowing for mixture of social influences and latent attitudes: Application to intended purchase of electric cars," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 71-85.
    19. Costain, Cindy & Ardron, Carolyn & Habib, Khandker Nurul, 2012. "Synopsis of users’ behaviour of a carsharing program: A case study in Toronto," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(3), pages 421-434.
    20. Bhat, Chandra R., 2003. "Simulation estimation of mixed discrete choice models using randomized and scrambled Halton sequences," Transportation Research Part B: Methodological, Elsevier, vol. 37(9), pages 837-855, November.
    21. Carlo Prato, 2014. "Expanding the applicability of random regret minimization for route choice analysis," Transportation, Springer, vol. 41(2), pages 351-375, March.
    22. Caspar G Chorus & John M Rose & David A Hensher, 2013. "Regret Minimization or Utility Maximization: It Depends on the Attribute," Environment and Planning B, , vol. 40(1), pages 154-169, February.
    23. Maria Kamargianni & Moshe Ben-Akiva & Amalia Polydoropoulou, 2014. "Incorporating social interaction into hybrid choice models," Transportation, Springer, vol. 41(6), pages 1263-1285, November.
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