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基于乘客决策行为的城市轨道交通网络韧性评估

王佳 陈翔 林苗朋 张晓

铁道标准设计2026,Vol.70Issue(9):18-25,68,9.
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铁道标准设计2026,Vol.70Issue(9):18-25,68,9.DOI:10.13238/j.issn.1004-2954.202412300004

基于乘客决策行为的城市轨道交通网络韧性评估

Resilience Evaluation of Urban Rail Transit Network Based on Passenger Decision-Making Behavior

王佳 1陈翔 1林苗朋 2张晓3

作者信息

  • 1. 长沙理工大学交通学院,长沙 410114
  • 2. 广州港集团有限公司,广州 510100
  • 3. 湖南省交通规划勘察设计院有限公司,长沙 410200
  • 折叠

摘要

Abstract

[Objective]This study aims to ensure the safe operation of urban rail transit networks and enhance their emergency response and recovery capabilities during emergencies.[Methods]Based on the concept of resilience,this study developed network performance indicators from the scale of passenger flow affected by failed stations and the resulting total system delays.It also improved the network passenger flow assignment method by introducing virtual transfer edges,considering passenger decision-making behavior under failure scenarios,and generating real-time networks,thereby addressing the insufficient consideration of passenger decision-making behavior in existing studies.Finally,using Beijing Metro as a case study,simulations of single-station failure and multiple-station failures under four different attack strategies were conducted.[Results]The results indicated that:(1)during the morning peak,the network resilience indicator of Beijing Metro under single-station failure followed a power-law distribution,with the performance loss caused by failures of most stations not exceeding 5%.(2)Stations causing relatively large cumulative performance losses were primarily located in key sections connecting urban areas and suburbs.Their failures caused disruptions to a large number of passenger trips,with the maximum cumulative performance loss reaching 22.27%.(3)Under multiple-station failures in the Beijing Metro network,the network performance curve initially decreased sharply and then gradually leveled off.Under random attacks,the network maintained relatively high resilience,with the resilience indicator remaining around 0.247 2,which was 43.77%,44.96%,and 26.41%lower than those under degree-preference,betweenness-preference,and passenger-flow-preference attacks,respectively.[Conclusion]The findings provide a theoretical basis and practical guidance for improving the safety and emergency response capabilities of urban rail transit networks.

关键词

城市轨道交通网络/乘客决策行为/韧性评估/网络性能指标/客流分配

Key words

urban rail transit network/passenger decision-making behavior/resilience evaluation/network performance indicators/passenger flow assignment

分类

交通工程

引用本文复制引用

王佳,陈翔,林苗朋,张晓..基于乘客决策行为的城市轨道交通网络韧性评估[J].铁道标准设计,2026,70(9):18-25,68,9.

基金项目

湖南省交通运输厅科技项目(202232,202406) (202232,202406)

铁道标准设计

1004-2954

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