考虑异质性的经典随机后悔最小化模型改进研究

交通运输系统工程与信息 ›› 2020, Vol. 20 ›› Issue (6): 191-196.

考虑异质性的经典随机后悔最小化模型改进研究

杨飞¹，侯宗廷¹，周涛^*2

1. 西南交通大学交通运输与物流学院，成都 611756；2. 重庆市交通规划研究院，重庆 401147

收稿日期:2020-07-24 修回日期:2020-09-21 出版日期:2020-12-25 发布日期:2020-12-25
作者简介:杨飞(1980-)，男，重庆人，教授，博士.
基金资助:
国家自然科学基金/National Natural Science Foundation of China(51678505，52072313)；中铁二院工程集团有限责任公司科技开发计划项目/Science and Technology Project of China Railway Eryuan Group Co., Ltd.(KYY2019028(19-20)).

Improvement of Classic Random Regret Minimization Model Considering Heterogeneity

YANG Fei¹, HOU Zong-ting¹, ZHOU Tao²

1. School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 611756, China; 2. Chongqing Transport Planning Institute, Chongqing 401147, China

Received:2020-07-24 Revised:2020-09-21 Online:2020-12-25 Published:2020-12-25

摘要/Abstract

摘要：

传统基于后悔理论的交通行为模型对异质性考虑不充分，对真实选择行为的解释存在不足.本文利用韦伯比率，考虑出行者对各方式属性变量感知的异质性，对经典随机后悔最小化模型进行改进，分别建立基于随机效用最大化，经典随机后悔最小化和改进经典随机后悔最小化的选择模型；以网约车选择行为为例进行实证研究，验证改进模型效果.结果表明：3种模型参数标定结果具有一致性，改进模型的拟合优度(0.271)和命中率(75.8%)相较于另外两个模型均较优；改进模型能更好地描述多维属性决策过程中的半补偿原则和折中效应，可以提高模型对真实选择行为的解释能力.

关键词: 交通工程, 出行行为分析, 异质性, 随机效用最大化, 随机后悔最小化

Abstract:

Due to the lack of consideration of heterogeneity in the traditional choice model based on regret theory, there may be errors in the interpretation of the real choice behavior. This paper uses the Weber ratio to consider the heterogeneity of travelers' perception for attribute variable to improve the classic random regret minimization model, and takes taxi- hailing choice behavior as an empirical study. Three choice models are established based on the random utility maximization, classic random regret minimization, and improved classic random regret minimization, respectively. The results suggest that the calibration results of the three models are consistent, and the improved model's goodness of fit (0.271) and hit ratio (75.8%) are both better compared with the other two models. Besides, the improved model can better describe the semi- compensation principle and compromise effect in the multidimensional attribute decision- making process. And the improved model has a strong explanatory capability to the real choice behavior.

Key words: traffic engineering, travel behavior analysis, heterogeneity, random utility maximization, random regret minimization

中图分类号:

U491.1

杨飞，侯宗廷，周涛. 考虑异质性的经典随机后悔最小化模型改进研究[J]. 交通运输系统工程与信息, 2020, 20(6): 191-196.

YANG Fei, HOU Zong-ting, ZHOU Tao. Improvement of Classic Random Regret Minimization Model Considering Heterogeneity[J]. Journal of Transportation Systems Engineering and Information Technology, 2020, 20(6): 191-196.

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链接本文: http://www.tseit.org.cn/CN/abstract/abstract20166.shtml

http://www.tseit.org.cn/CN/Y2020/V20/I6/191

参考文献

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