Passenger Route Choice Model Under the Condition of Urban Rail Transit Operation Disruption
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School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China

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U268.6

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    Abstract:

    To describe the route choice behavior of passengers under the condition of urban rail transit operation disruptions, a passenger route choice model was proposed. According to the different effects of operation disruptions, passengers were classified into different types and the corresponding route choice strategies were given. Then, the calculation method of generalized time cost was determined based on the travel time and travel cost. Considering the impact of the disruption duration on passengers, the value principle of passenger reference point in disruptions was constructed. Finally, a passenger route choice model was proposed based on the cumulative prospect theory and the nested logit model. The experimental results show the validity and accuracy of the model is less than 10% of the relative error between the calculated results and the questionnaire data. The passenger’s route choice changes dynamically with the change of disruption duration. It changes sharply in the short-time duration and is relatively stable in the long-time duration. The higher the passenger’s acceptance of travel cost, the more inclined they are to choose the route with a short travel time. The lower the endurance of passengers to disruptions, the more sensitive they are to the comprehensive value of the route.

    Reference
    [1] 于鸿飞. 城轨路网客流非均衡随机动态分配及其在运营中断时的应用研究[D].北京: 北京交通大学,2015.YU Hongfei. A dynamic stochastic disequilibrium passenger flow assignment method and its application on a local disruption of urban railway network [D]. Beijing: Beijing Jiaotong University, 2015.
    [2] 尹浩东. 运营中断条件下城市轨道交通乘客出行行为建模与客流诱导优化研究[D].北京:北京交通大学,2017.YIN Haodong. Modeling passenger travel behavior and guidance optimization for disruption management in the urban rail transit network[D]. Beijing: Beijing Jiaotong University, 2017.
    [3] 徐瑞华, 叶剑鸣, 潘寒川. 列车运行延误条件下城市轨道交通网络换乘站大客流预警方法[J].中国铁道科学,2014,35(5):127.XU Ruihua , YE Jianming, PAN Hanchuan. Method for early warning of heavy passenger flow at transfer station of urban rail transit network under train delay[J]. China Railway Science, 2014,35(5):127.
    [4] AVINERI E, PRASHKER J N. Sensitivity to travel time variability: Travelers’ learning perspective[J]. Transportation Research Part C,2005,13(2):157.
    [5] AVINERI E, CHORUS C G. Editorial: Recent developments in prospect theory-based travel behaviour research[J]. European Journal of Transport and Infrastructure Research, 2010, 10(4):293.
    [6] TVERSKY K A. Prospect theory: An analysis of decision under risk[J]. Econometrica, 1979, 47(2):263.
    [7] AMOS Tversky, DANIEL Kahneman. Advances in prospect theory: Cumulative representation of uncertainty[J]. Journal of Risk and Uncertainty,1992,5(4):297.
    [8] 柳伍生, 潘自翔, 龙思, 等. 基于累积前景理论的地铁运营中断后乘客出行行为[J].长沙理工大学学报(自然科学版),2020,17(4):70.LIU Wusheng, PAN Zixiang, LONG Si, et al. Passenger travel behaviors after subway operation interruption based on cumulative prospect theory[J]. Journal of Changsha University of Science & Technology(Natural Science), 2020,17(4):70.
    [9] 田丽君, 杨茜, 黄海军, 等. 基于累积前景理论的出行方式选择模型及实证[J].系统工程理论与实践,2016,36(7):1778.TIAN Lijun, YANG Qian, HUANG Haijun, et al. Travel choice model and empirical analysis based on cumulative prospect theory[J]. System Engineering Theory and Practice, 2016, 36(7): 1778.
    [10] 何胜学, 范炳全. 公交网络最优路径求解算法[J].交通运输工程与信息学报,2007(1):22.HE Shengxue, FAN Bingquan. Optimal path searching algorithm in transit network[J]. Journal of Transportation Engineering and Information, 2007(1):22.
    [11] 曲振. 列车延误条件下城市轨道交通时刻表优化模型研究[D].北京: 清华大学,2016.QU Zhen. Research on rescheduling optimization model with train delay in urban rail transit [D]. Beijing: Tsinghua University, 2016.
    [12] 曾璐, 刘军, 秦勇, 等. 基于AFC数据的突发事件下城市轨道交通乘客路径决策研究[J].铁道学报,2019,41(8):9.ZENG Lu, LIU Jun, QIN Yong, et al. Route choice behavior of passengers in urban rail transit under emergency based on AFC data[J]. Journal of the China Railway Society, 2019,41(8):9.
    [13] 李春晓. 城市轨道交通突发事件下乘客路径选择行为建模与仿真[D].北京: 北京交通大学,2017.LI Chunxiao. Modeling and simulation of passenger route choice behavior under emergencies of urban rail transit[D]. Beijing: Beijing Jiaotong University, 2017.
    [14] 钱蕾. 双向中断下城市轨道交通网络列车运行调整研究[D].北京:北京交通大学,2021.QIAN Lei. Research on train operation adjustment of urban rail transit network under bidirectional interruption[D]. Beijing: Beijing Jiaotong University, 2021.
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HAN Baoming, CHEN Jiahao, ZHOU Weiteng, SUN Yajie. Passenger Route Choice Model Under the Condition of Urban Rail Transit Operation Disruption[J].同济大学学报(自然科学版),2023,51(2):238~246

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History
  • Received:December 31,2021
  • Online: March 03,2023
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