Bridging strategy for the disruption of metro considering the reliability of transportation system: Metro and conventional bus network

被引:19
作者
Zheng, Shuai [1 ,2 ,3 ]
Liu, Yugang [1 ,2 ,3 ,4 ]
Lin, Yexin [1 ,2 ,3 ]
Wang, Qiang [1 ,2 ,3 ]
Yang, Hongtai [1 ,2 ,3 ]
Chen, Bin [4 ]
机构
[1] Southwest Jiaotong Univ, Sch Transportat & Logist, Chengdu 610031, Sichuan, Peoples R China
[2] Southwest Jiaotong Univ, Natl Engn Lab Integrated Transportat Big Data App, Chengdu 610031, Sichuan, Peoples R China
[3] Southwest Jiaotong Univ, Natl United Engn Lab Integrated & Intelligent Tra, Chengdu 610031, Sichuan, Peoples R China
[4] Inst Transportat Dev Strategy & Planning Sichuan, Chengdu 610000, Sichuan, Peoples R China
基金
中国国家自然科学基金;
关键词
System reliability; Metro disruption; Emergency strategy; Bus bridging; Bi-level programming; Genetic algorithm; ROBUSTNESS ASSESSMENT; TRANSIT; RESILIENCE; VULNERABILITY; REDUCTION; RECOVERY; DESIGN; RISK;
D O I
10.1016/j.ress.2022.108585
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
With the frequent occurrence of metro disruption, how to guarantee the reliability of the system has gradually become a research hotspot. Previous studies mostly used the bridging bus to maintain the service level, and ignored the experience of passengers, the reliability of conventional bus system, the heterogeneity of passenger and underutilized the capacity. Hence, to deal with the deficiencies, a comprehensive bridging strategy is proposed to balance the benefit of stranded metro passengers and conventional bus passengers considering the dynamic changes in passenger demand. We develop a tailor-made integration framework for operators, dispatch bridging buses from multiple alternative sources, and design two operated access methods: Station-Station docking method and demand-responsive method to satisfy the heterogeneity of passenger. A bi-level programming model is established to describe the strategy and to determine operation scheme. And then, a two-layer multi-objective genetic algorithm is used to solve the bi-level model. A case study is conducted based on the real case of Guangzhou Metro disruption in 2019. The superiority of the proposed strategy over the two benchmark strategies is demonstrated by the results. Notably, the study provides some suitable and operable evacuation strategy for transit operators to guarantee residents??? daily travel plan with the sensitivity analysis.
引用
收藏
页数:13
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共 52 条
  • [31] Infrastructure resilience curves: Performance measures and summary metrics
    Poulin, Craig
    Kane, Michael B.
    [J]. RELIABILITY ENGINEERING & SYSTEM SAFETY, 2021, 216
  • [32] Roles of tRNA-derived fragments in human cancers
    Sun, Chunxiao
    Fu, Ziyi
    Wang, Siwei
    Li, Jun
    Li, Yongfei
    Zhang, Yanhong
    Yang, Fan
    Chu, Jiahui
    Wu, Hao
    Huang, Xiang
    Li, Wei
    Yin, Yongmei
    [J]. CANCER LETTERS, 2018, 414 : 16 - 25
  • [33] Measuring vulnerability of urban metro network from line operation perspective
    Sun, Daniel
    Guan, Shituo
    [J]. TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2016, 94 : 348 - 359
  • [34] Spatiotemporal evolution of ridesourcing markets under the new restriction policy: A case study in Shanghai
    Sun, Daniel Daniel
    Ding, Xueqing
    [J]. TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2019, 130 : 227 - 239
  • [35] Multi-disruption resilience assessment of rail transit systems with optimized commuter flows
    Tang, Junqing
    Xu, Lei
    Luo, Chunling
    Ng, Tsan Sheng Adam
    [J]. RELIABILITY ENGINEERING & SYSTEM SAFETY, 2021, 214 (214)
  • [36] Shuttle Planning for Link Closures in Urban Public Transport Networks
    van der Hurk, Evelien
    Koutsopoulos, Haris N.
    Wilson, Nigel
    Kroon, Leo G.
    Maroti, Gabor
    [J]. TRANSPORTATION SCIENCE, 2016, 50 (03) : 947 - 965
  • [37] Transit system resilience: Quantifying the impacts of disruptions on diverse populations
    Vodopivec, Neza
    Miller-Hooks, Elise
    [J]. RELIABILITY ENGINEERING & SYSTEM SAFETY, 2019, 191
  • [38] Modeling and simulating for congestion pedestrian evacuation with panic
    Wang, Jinhuan
    Zhang, Lei
    Shi, Qiongyu
    Yang, Peng
    Hu, Xiaoming
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2015, 428 : 396 - 409
  • [39] Bus Bridging Disruption in Rail Services With Frustrated and Impatient Passengers
    Wang, Yibing
    Guo, Jingqiu
    Currie, Graham
    Ceder, Avishai
    Dong, Wei
    Pender, Brendan
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2014, 15 (05) : 2014 - 2023
  • [40] Real-time integrated train rescheduling and rolling stock circulation planning for a metro line under disruptions
    Wang, Yihui
    Zhao, Kangqi
    D'Ariano, Andrea
    Niu, Ru
    Li, Shukai
    Luan, Xiaojie
    [J]. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2021, 152 : 87 - 117