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

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.

• Record URL:
  https://doi.org/10.1016/j.tra.2016.11.005
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0965856416309855
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/09658564
• Supplemental Notes:
  • Abstract reprinted with permission of Elsevier.
• Authors:
  • Kim, Jinhee
  • Rasouli, Soora
  • Timmermans, Harry
• Publication Date: 2017-1

Language

• English

Media Info

• Media Type: Web
• Features: Appendices; Figures; References; Tables;
• Pagination: pp 13-33
• Serial:
  • Transportation Research Part A: Policy and Practice
  • Volume: 95
  • Publisher: Elsevier
  • ISSN: 0965-8564
  • Serial URL: http://www.sciencedirect.com/science/journal/09658564

Subject/Index Terms

• TRT Terms: Automobiles; Choice models; Decision making; Stated preferences; Uncertainty; Vehicle sharing
• Uncontrolled Terms: Hybrid choice models; Random regret minimization
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01625990
• Record Type: Publication
• Files: TRIS
• Created Date: Feb 15 2017 5:03PM