Robustness assessment of public bus transit system with a response-integrated approach for a resilient public transport system in Hong Kong

被引:12
作者
Xu, Zizhen [1 ]
Zhang, Chuwei [1 ]
Chopra, Shauhrat S. [1 ,2 ]
机构
[1] City Univ Hong Kong, Sch Energy & Environm, Tat Chee Ave, Hong Kong, Peoples R China
[2] City Univ Hong Kong, Guy Carpenter Asia Pacific Climate Impact Ctr, Tat Chee Ave, Hong Kong, Peoples R China
关键词
Bus transit system; complex network; public transportation; response; robustness; NETWORK; FRAMEWORK;
D O I
10.1080/21680566.2022.2071354
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
Node percolation in the transportation domain refers to a phase transition process of network connectivity, which is quantified through robustness assessments. A robust network, in this case, the public bus transit, exhibits graceful degradation as progressive infrastructure failures cascade across the system. While most research on robustness has focused on the system topology, there is a need to evaluate the role of post-disruption measures on robustness. This research assesses post-disruption response measures, such as rerouting, separating the operation of fractured routes, and temporarily changing roadway direction. We find that the dependent network model of the public bus transit, which includes road infrastructure from Hong Kong, exhibits increasing vulnerability to infrastructure failures, and response measures are effective until half of the infrastructure nodes are disrupted. Finally, we provide prescriptive insights into the design of transportation contingency plans by identifying the disruption levels for implementing each response measure.
引用
收藏
页码:361 / 375
页数:15
相关论文
共 32 条
  • [1] Quantifying and classifying the robustness of bus transit networks
    Abdelaty, Hatem
    Mohamed, Moataz
    Ezzeldin, Mohamed
    El-Dakhakhni, Wael
    [J]. TRANSPORTMETRICA A-TRANSPORT SCIENCE, 2020, 16 (03) : 1176 - 1216
  • [2] Toward inherently secure and resilient societies
    Allenby, B
    Fink, J
    [J]. SCIENCE, 2005, 309 (5737) : 1034 - 1036
  • [3] Resilience of public transport networks against attacks
    Berche, B.
    von Ferber, C.
    Holovatch, T.
    Holovatch, Yu.
    [J]. EUROPEAN PHYSICAL JOURNAL B, 2009, 71 (01) : 125 - 137
  • [4] Berche Bertrand., 2011, JDYSES, V2, P42
  • [5] A framework to quantitatively assess and enhance the seismic resilience of communities
    Bruneau, M
    Chang, SE
    Eguchi, RT
    Lee, GC
    O'Rourke, TD
    Reinhorn, AM
    Shinozuka, M
    Tierney, K
    Wallace, WA
    von Winterfeldt, D
    [J]. EARTHQUAKE SPECTRA, 2003, 19 (04) : 733 - 752
  • [6] Carlson J, 2012, RESILIENCE THEORY AP
  • [7] Metropolitan rail network robustness
    Cats, Oded
    Krishnakumari, Panchamy
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2020, 549
  • [8] Robustness assessment of link capacity reduction for complex networks: Application for public transport systems
    Cats, Oded
    Koppenol, Gert-Jaap
    Warnier, Martijn
    [J]. RELIABILITY ENGINEERING & SYSTEM SAFETY, 2017, 167 : 544 - 553
  • [9] Statistical Analysis of Bus Networks in India
    Chatterjee, Atanu
    Manohar, Manju
    Ramadurai, Gitakrishnan
    [J]. PLOS ONE, 2016, 11 (12):
  • [10] A network-based framework for assessing infrastructure resilience: a case study of the London metro system
    Chopra, Shauhrat S.
    Dillon, Trent
    Bilec, Melissa M.
    Khanna, Vikas
    [J]. JOURNAL OF THE ROYAL SOCIETY INTERFACE, 2016, 13 (118)