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

Jinhee Kim, Soora Rasouli, H.J.P. Timmermans

Research output: Contribution to journalArticleAcademicpeer-review

62 Citations (Scopus)
24 Downloads (Pure)

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.
Original languageEnglish
Pages (from-to)13-33
Number of pages21
JournalTransportation Research. Part A: Policy and Practice
Volume95
DOIs
Publication statusPublished - 1 Jan 2017

Keywords

  • Car-sharing
  • Decision-making under uncertainty
  • Hybrid choice model
  • Random regret minimization
  • Satisfaction

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