International Journal of Sustainable Transportation ( IF 3.963 ) Pub Date : 2020-05-31 , DOI: 10.1080/15568318.2020.1768608 Eleni Charoniti 1 , Jinhee Kim 2 , Soora Rasouli 1 , Harry J. P. Timmermans 1
Abstract
This paper investigates stated preferences for car-sharing in the context of travel mode choice under conditions of uncertain travel times. In particular, the study focuses on heterogeneity in the decision-making process due to different activity-travel contexts such as time pressure, activity duration, and uncertain travel times. It is assumed that the contextual factors influence the decision rules that potential users adopt regarding the use of a shared car for a specific trip purpose. A context-dependent latent class model allowing for the random panel effect is estimated, in which the latent classes respectively represent utility maximization and regret minimization decision rules. The model employs the contextual factors as covariates of class membership probability. A stated choice experiment, in which car-sharing, own car and public transport serve as the choice alternatives, is used to estimate the model. Results indicate that the activity-travel contexts play an important role in accounting for heterogeneity in decision rules.
中文翻译:
活动旅行情境在汽车共享决策过程中的人际异质性:情境相依的潜在类别随机效用–随机遗憾模型
摘要
本文研究了在不确定的出行时间条件下,在出行方式选择的背景下对共享汽车的偏好偏好。尤其是,由于时间旅行压力,活动持续时间和不确定的旅行时间等不同的旅行活动背景,该研究着重研究决策过程中的异质性。假定上下文因素会影响潜在用户在针对特定出行目的使用共享汽车方面所采用的决策规则。估计允许随机面板效应的上下文相关潜在类模型,其中潜在类分别表示效用最大化和后悔最小化决策规则。该模型将上下文因素用作类成员概率的协变量。既定选择实验,在其中进行汽车共享,自己的汽车和公共交通工具作为选择的替代品,用于估计模型。结果表明,活动旅行情境在解释决策规则中的异质性方面起着重要作用。