Journal of Transportation Systems Engineering and Information Technology ›› 2022, Vol. 22 ›› Issue (1): 67-73.DOI: 10.16097/j.cnki.1009-6744.2022.01.008

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Commuting Mode Choice Behavior in Rail and Bus Composite Network Based on Smart Card Data

WANG Zi-jia1a, 1b , JIA Hui-hui1a , ZHU Ya-di*1a , CHEN Feng1a, 1b, 2   

  1. 1a. School of Civil Engineering, 1b. Research Center of Beijing Rail Transit Line Security and Disaster-resistance Technology, Beijing Jiaotong University, Beijing 100044, China; 2. College of Mechanical and Transportation Engineering, China University of Petroleum(Beijing), Beijing 102249, China
  • Received:2021-07-29 Revised:2021-10-09 Accepted:2021-10-18 Online:2022-02-25 Published:2022-02-23
  • Supported by:
    National Natural Science Foundation of China(51978044)

基于智能卡数据的轨道与公交复合网络通勤方式选择行为研究

王子甲1a, 1b,贾慧慧1a,朱亚迪*1a,陈峰1a, 1b, 2   

  1. 1. 北京交通大学,a. 土木建筑工程学院,b. 北京市轨道交通线路安全与防灾工程技术研究中心,北京 100044; 2. 中国石油大学(北京),机械与储运工程学院,北京 102249
  • 作者简介:王子甲(1985- ),男,河南叶县人,副教授。
  • 基金资助:
    国家自然科学基金

Abstract: Rail transit networks and bus networks are the main components of the public transportation system. The study on the mode choice behavior of passengers on the composite network of rail transit and bus is helpful to improve the cooperative operation of the public transportation system. In previous studies, the travel integrity of different modes is overlooked with considering only rail or bus. In order to solve this problem, based on the traffic card data fusion and the topology fusion of rail and bus networks, a complete travel extraction method for passengers on the composite network is proposed. The essence of mode choice in the composite network is route choice. Therefore, based on the composite network of public transportation, five multinomial Logit choice models considering the combination of multiple factors are established to analyze the combination of factors that have the most significant impact on passenger travel behavior in the composite network. Finally, the model is applied to the public transportation network of Beijing with the credit card data in a working day. The results show that the choice model based on the complete trip is better than the choice model based on the trip stage. The mode selection behavior of commuters in the composite network is significantly related to the fare and the total travel time considering the bus time, waiting time, transfer time, and transfer times, and the total travel time has a greater impact. The influence of transfer and waiting time on the modeselection of passengers in the composite network is relatively low, and commuters prefer the route with a short total travel time. The research results can provide technical support for improving the degree of coordination between rail and bus.

Key words: urban traffic, mode choice, multinomial Logit model, data fusion, composite network

摘要: 轨道交通网络和常规公交网络作为公共交通系统的主要组成部分,研究乘客在两网复合网络上的方式选择行为有助于提升公共交通系统的协同运营。然而,以往的研究通常只对单个网络出行进行研究,未考虑到出行完整性。针对此不足,基于多源数据融合、轨道与公交网络拓扑融合,提出乘客在公共交通复合网络上的完整出行提取方法;复杂网络中方式选择的本质是路径选择,因此在构建耦合换乘站点的公共交通复合网络基础上,建立5种考虑多种因素组合的多项Logit选择模型,以分析在复合网络中对乘客出行行为影响最显著的因素组合;最后将模型应用于北京市某工作日的公共交通网络及刷卡数据。研究结果表明,基于完整出行的选择模型优于基于出行阶段的选择模型;通勤者在公共交通复合网络上的方式选择行为与考虑在车时间、候车时间、换乘时间、换乘次数的出行总时间及票价因素显著相关,且出行总时间的影响更大;换乘、候车时间对通勤乘客在公共交通复合网络中方式选择的影响较低,通勤者更加偏好出行总时间短的路径。研究结果可为提升轨道与公交的协同程度提供技术支持。

关键词: 城市交通, 方式选择, 多项Logit模型, 数据融合, 复合网络

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