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考虑感知异质性和心理距离的城市居民拼车出行选择随机后悔最小化模型

Random Regret Minimization Model of Carpool Travel Choice for Urban Residents Considering Perceived Heterogeneity and Psychological Distance.

作者信息

Xiao Qiang, He Ruichun, Wang Ziyi

机构信息

School of Economics and Management, Lanzhou Jiaotong University, Lanzhou, 730070 China.

Northwest Traffic Economy Research Center, Lanzhou Jiaotong University, Lanzhou, 730070 China.

出版信息

J Shanghai Jiaotong Univ Sci. 2023 Mar 2:1-14. doi: 10.1007/s12204-023-2588-9.

DOI:10.1007/s12204-023-2588-9
PMID:37359452
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9981256/
Abstract

Carpooling is a sustainable, economical, and environmentally friendly solution to reduce air pollution and ease traffic congestion in urban areas. However, existing regret theories lack consideration of the heterogeneity of attribute perception in different ways and the psychological factors that affect regret, so they cannot accurately portray urban residents' carpool travel decisions and cannot provide a correct explanation of the actual carpool choice behavior. In this paper, based on the analysis of classical random regret minimization models and random regret minimization models considering heterogeneity, the concept of psychological distance is introduced to address shortcomings of the existing models and construct an improved random regret minimization model considering heterogeneity and psychological distance. The results show that the fit and explanatory effect of the improved model proposed in this paper is better than that of the other two models. The psychological distance of travel residents during the Corona Virus Disease 2019 (COVID-19) affects the anticipated regret value and the willingness to carpool. The model can better describe the carpool travel choice mechanism of travelers and effectively explain the carpool travel choice behavior of travelers.

摘要

拼车是一种可持续、经济且环保的解决方案,有助于减少空气污染并缓解城市地区的交通拥堵。然而,现有的后悔理论缺乏对不同方式下属性感知异质性以及影响后悔的心理因素的考虑,因此它们无法准确描绘城市居民的拼车出行决策,也无法对实际的拼车选择行为提供正确解释。本文在分析经典随机后悔最小化模型和考虑异质性的随机后悔最小化模型的基础上,引入心理距离概念以弥补现有模型的不足,并构建了一个考虑异质性和心理距离的改进随机后悔最小化模型。结果表明,本文提出的改进模型的拟合度和解释效果优于其他两个模型。2019年冠状病毒病(COVID-19)期间出行居民的心理距离会影响预期后悔值和拼车意愿。该模型能够更好地描述出行者的拼车出行选择机制,并有效解释出行者的拼车出行选择行为。

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