Analyzing and Modeling Commuting Behavior Characteristics in Metropolitan Area

被引：0
|
作者：
Wang S.-Y. [1 ]
Wang Q. [2 ]
Shao C.-F. [1 ]
Dong C.-J. [1 ]
Yuan Y.-J. [1 ]
机构：
[1] Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing
[2] Beijing Transport Institute, Beijing
来源：
Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology | 2019年 / 19卷 / 05期
关键词：
Metropolitan area commuting; Mode choice; Nested Logit model; Traffic engineering; Travel behavior;
D O I：
10.16097/j.cnki.1009-6744.2019.05.006
中图分类号：
学科分类号：
摘要：
In order to study the mode choice behavior of commuting in the metropolitan area, analyze the travel characteristics, reveal the influence of individual attributes, family attributes and travel attributes on the mode choice, this paper established the Nested Logit model for commuting in the metropolitan area, and conducted research on 4 385 commuters in the LangFang "North Three Counties" of the Beijing metropolitan area. The analysis of travel cost, travel time and transfer times have significant effects on the commuter travel mode choice. Two policy improvement schemes, analysis of the change of travel mode partition rate, is proposed to verify the validity of the model. Base on the integrated improvement, the proportion of car mode choice decrease 2.46%, meanwhile, the percentage of bus and subway increase 1.73% and 0.75% respectively. The scheme has a notable result in improving the sharing rate of traffic modes. Copyright © 2019 by Science Press.
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页码：35 / 41
页数：6
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