交通运输系统工程与信息

交通运输系统工程与信息 ›› 2017, Vol. 17 ›› Issue (6): 235-241.

• 城市轨道交通网络化运营理论与方法 • 上一篇    下一篇

城市轨道交通网络乘客换乘路径选择行为模型

陈坚1a, 2，王曼2，李和平*1a, 1b，段力伟1b   

  1. 1. 重庆大学a. 建筑城规学院，b.山地城镇建设与新技术教育部重点实验室，重庆400030； 2. 重庆交通大学重庆市交通运输工程重点实验室，重庆400074
  • 收稿日期:2017-05-26 修回日期:2017-08-07 出版日期:2017-12-25 发布日期:2017-12-25
  • 作者简介:陈坚(1985-)，男，江西赣州人，副教授，博士.
  • 基金资助:

    中国博士后科学基金/China Postdoctoral Science Foundation Funded Project(2016M592639)；重庆市社会科学规划培育项目/The Social Science Planning Project of Chongqing(2015PY36)；国家自然科学基金/ National Natural Science Foundation of China(51308569)；重庆市交通运输工程重点实验室开放项目/The Open Fund Project of Chongqing Key Laboratary of Traffic & Transportation(2016CQJY002).

Choice Behavior of Passenger Transfer Route for Urban Rail Transit Network

CHEN Jian 1a, 2,WANG Man 2, LI He-ping 1a, 1b,DUAN Li-wei 1b   

  1. 1a. School of Architecture and Urban Planning, 1b. Key Lab of New Technology for Construction of Cities in Mountain Area, Chongqing University, Chongqing 400030, China; 2. Chongqing Key Lab of Traffic & Transportation, Chongqing Jiaotong University, Chongqing 400074, China
  • Received:2017-05-26 Revised:2017-08-07 Online:2017-12-25 Published:2017-12-25

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被引次数

2

摘要：

为定量分析成网运行条件下乘客在轨道交通系统内的换乘路径选择行为，在梳理乘客换乘路径选择直接与间接影响因素的基础上，引入开销系数用于描述由于列车过度拥挤导致乘客心理感受运行时间的额外增加值.提出含有惩罚系数的乘客换乘时间函数，基于乘客心理感知构建以乘车时间和换乘时间为广义费用的路径选择行为模型，并设计模型的求解算法.最后，将模型运用于重庆轨道交通网络实例分析中，结果表明：乘客倾向于选择换乘次数更少的路径3，较传统模型选择概率提高1.44%；同时，换乘惩罚系数对路径选择结果的影响灵敏度高于运行时间开销系数.

关键词: 城市交通, 城市轨道交通, 开销系数, 广义费用, 灵敏度

Abstract:

In order to quantitatively analyze the transfer route selection behavior of passengers in the rail transit system, based of combing the direct and indirect factors of passenger transfer route selection, the overhead coefficient is quoted to describe the additional value added to the passenger's psychological experience due to overcrowding of trains. This paper presents a passenger transfer time function with penalty coefficient, and constructs a route selection behavior model with the solving algorithm, which taking the travel time and transfer time as the generalized cost based on the psychological perception of passengers. Finally, the model is applied to the case analysis of Chongqing rail transit network. The results show that the passengers tended to choose the route 3 with fewer transfers, which is 1.44% higher than the traditional model selection probability, and the effect of transfer penalty coefficient on the route selection result is higher than run-time overhead coefficient.

Key words: urban traffic, urban rail transit, overhead coefficient, generalized cost, sensitivity

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