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首页> 外文期刊>International journal of sustainable transportation >Intrapersonal heterogeneity in car-sharing decision-making processes by activity-travel contexts: A context-dependent latent class random utility - random regret model
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Intrapersonal heterogeneity in car-sharing decision-making processes by activity-travel contexts: A context-dependent latent class random utility - random regret model

机译:通过活动 - 旅行环境在汽车共享决策过程中的顽固性异质性:依赖于上下文的潜在类随机实用程序 - 随机遗憾模型

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摘要

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.
机译:本文在不确定的旅行时间条件下调查了在旅行模式选择的背景下进行了汽车共享的偏好。特别地,该研究侧重于决策过程中的异质性,由于时间压力,活动持续时间和不确定的行驶时间等不同的活动 - 旅行环境。假设上下文因素会影响潜在用户对特定旅行目的使用共用汽车的决策规则。估计允许随机面板效果的上下文相关的潜在类模型,其中潜在类别分别代表公用事业最大化和后悔最小化决策规则。该模型采用上下文因素作为阶级会员概率的协变量。一个规定的选择实验,其中汽车共享,自己的汽车和公共交通工具作为选择替代品,用于估算模型。结果表明,活动 - 旅行环境在核算决策规则中的异质性方面发挥着重要作用。

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