交通运输系统工程与信息

交通运输系统工程与信息 ›› 2019, Vol. 19 ›› Issue (5): 35-41.

• 综合交通运输体系论坛 • 上一篇    下一篇

都市圈通勤出行行为特性分析与建模

王晟由1，王倩2，邵春福*1，董春娇1，袁毓杰1   

  1. 1. 北京交通大学综合交通运输大数据应用技术交通运输行业重点实验室, 北京 100044； 2. 北京交通发展研究院, 北京 100071
  • 收稿日期:2019-05-30 修回日期:2019-07-05 出版日期:2019-10-25 发布日期:2019-10-25
  • 作者简介:王晟由(1992-)，女，山东栖霞人，博士生.
  • 基金资助:

    中央高校基本科研业务费专项资金/ Fundamental Research Funds for the Central Universities of Ministry of Education of China(2019YJS107).

Analyzing and Modeling Commuting Behavior Characteristics in Metropolitan Area

WANG Sheng-you1,WANG Qian2, SHAO Chun-fu1, DONG Chun-jiao1, YUAN Yu-jie1   

  1. 1. Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing 100044, China; 2. Beijing Transport Institute, Beijing 100071, China
  • Received:2019-05-30 Revised:2019-07-05 Online:2019-10-25 Published:2019-10-25

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摘要：

为研究都市圈范围内通勤出行的交通方式选择行为，分析出行特性，揭示个体属性、家庭属性及出行属性对方式选择的影响，本文建立都市圈通勤出行Nested Logit 模型，对北京都市圈内廊坊市“北三县”的4 385 个进京通勤者的出行方式选择机理进行研究. 结果表明，出行方式的费用、出行时间及换乘次数均对通勤者出行方式选择产生显著影响. 为验证模型的有效性，提出两种政策改善方案，分析各方案下出行方式划分率变化情况，数据显示综合改善效果下小汽车的出行方式比例下降2.46%，公交与地铁的出行比例分别提高1.73%和 0.75%，表明方案对交通方式分担率改善效果明显.

关键词: 交通工程, 出行行为, Nested Logit 模型, 都市圈通勤, 方式选择

Abstract:

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.

Key words: traffic engineering, travel behavior, Nested Logit model, metropolitan area commuting, mode choice

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