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 language | English |
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Pages (from-to) | 13-33 |
Number of pages | 21 |
Journal | Transportation Research Part A: Policy and Practice |
Volume | 95 |
DOIs | |
Publication status | Published - 2017 Jan 1 |
Bibliographical note
Publisher Copyright:© 2016 Elsevier Ltd
All Science Journal Classification (ASJC) codes
- Civil and Structural Engineering
- Transportation
- Management Science and Operations Research