Choice Behavior of Time-Sharing Vehicle Leasing Considering Individual Heterogeneity

被引:0
|
作者
Yang F. [1 ]
Hou Z. [1 ]
Wang L. [2 ]
Wu H. [1 ]
机构
[1] School of Transportation and Logistics, Southwest Jiaotong University, Chengdu
[2] Western Branch of China Academy of Urban Planning and Design, Chongqing
关键词
individual heterogeneity; latent class conditional logit model; mixed logit model; time-sharing lease of new energy vehicles; travel behavior analysis; urban traffic;
D O I
10.3969/j.issn.0258-2724.20200428
中图分类号
学科分类号
摘要
Lack of individual heterogeneity in traditional travel behavior models causes errors in the interpretation of real choice behaviors. In order to explore the influence of individual heterogeneity on travel choice behavior, firstly, a mixed logit based choice model and a latent-class conditional logit based choice model are built. Secondly, orthogonal design method is used to generate stated preference questionnaires for an empirical survey in Chengdu regarding travel choice behaviors of time-sharing lease on new energy vehicles. Finally, the mixed logit model is calibrated by using maximum likelihood simulation and Halton sequence sampling. The latent-class condition logit model is solved by regression analysis. The results show that access time, waiting time, in-vehicle time and cost are the key factors in choosing urban traffic modes. Both two models reveal that individual heterogeneity has a significant influence on travelers’ choice behaviors. The latent-class conditional logit model has a higher goodness of fit of 0.143 and a hit ratio of 77.85%, compared to those of 0.139 and 61.28% for the mixed logit model. Besides, the latent-class conditional logit model divides travelers into three categories, and the degree of differentiation is 0.908 4. Group 1 is most sensitive to cost but insensitive to waiting time; group 2 is more sensitive to access time and waiting time than cost; group 3 has an intermediate sensitivity to time and cost. © 2022 Authors. All rights reserved.
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页码:745 / 752
页数:7
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