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A hypothesis-driven framework for resilience analysis of public transport network under compound failure scenarios

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  • Zhang, Yifan
  • Ng, S. Thomas

Abstract

Urban flood risk is becoming a severe issue in most cities and has been a critical global concern of the twenty-first century. Flooding events can trigger significant failures in public transport networks (PTNs) within urban areas. With a growing population in urban areas, demand for transportation increases. Consequently, the dual forces of climate change and rapid urbanization have intensified the size and frequency of floods. Furthermore, the increasing threat of targeted attacks, natural hazards, and compound failures to PTNs has called for an urgent need to improve the resilience of critical lifeline systems. Here, we propose a new synthetic criterion for identifying the critical nodes of PTNs. Additionally, a hypothesis-driven framework for resilience analysis of PTNs against deliberate and compound failures is developed, which we demonstrate on Mass Transit Railway (MTR) in Hong Kong to obtain a quantitative understanding of resilience. Besides, the quantitative comparison of the viability of multiple recovery strategies suggests that the proposed method (EWM−TOPSIS) performs the best for the MTR network to recover after a disruption. Our findings can generalize across urban critical infrastructure systems as well as natural and human systems.

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  • Zhang, Yifan & Ng, S. Thomas, 2021. "A hypothesis-driven framework for resilience analysis of public transport network under compound failure scenarios," International Journal of Critical Infrastructure Protection, Elsevier, vol. 35(C).
    • Handle: RePEc:eee:ijocip:v:35:y:2021:i:c:s1874548221000470
    DOI: 10.1016/j.ijcip.2021.100455
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    1. Gert Sabidussi, 1966. "The centrality index of a graph," Psychometrika, Springer;The Psychometric Society, vol. 31(4), pages 581-603, December.
    2. Ashwin Arulselvan & Clayton W. Commander & Oleg Shylo & Panos M. Pardalos, 2011. "Cardinality-Constrained Critical Node Detection Problem," Springer Optimization and Its Applications, in: Nalân Gülpınar & Peter Harrison & Berç Rüstem (ed.), Performance Models and Risk Management in Communications Systems, pages 79-91, Springer.
    3. Chan, Ho-Yin & Chen, Anthony & Li, Guoyuan & Xu, Xiangdong & Lam, William, 2021. "Evaluating the value of new metro lines using route diversity measures: The case of Hong Kong's Mass Transit Railway system," Journal of Transport Geography, Elsevier, vol. 91(C).
    4. Qiwei Yu & Alexis K. H. Lau & Kang T. Tsang & Jimmy C. H. Fung, 2018. "Human damage assessments of coastal flooding for Hong Kong and the Pearl River Delta due to climate change-related sea level rise in the twenty-first century," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(2), pages 1011-1038, June.
    5. Stergiopoulos, George & Kotzanikolaou, Panayiotis & Theocharidou, Marianthi & Gritzalis, Dimitris, 2015. "Risk mitigation strategies for critical infrastructures based on graph centrality analysis," International Journal of Critical Infrastructure Protection, Elsevier, vol. 10(C), pages 34-44.
    6. Sybil Derrible & Christopher Kennedy, 2011. "Applications of Graph Theory and Network Science to Transit Network Design," Transport Reviews, Taylor & Francis Journals, vol. 31(4), pages 495-519.
    7. M. Hadi Amini & Orkun Karabasoglu, 2018. "Optimal Operation of Interdependent Power Systems and Electrified Transportation Networks," Energies, MDPI, vol. 11(1), pages 1-25, January.
    8. Kanwar, Kushal & Kumar, Harish & Kaushal, Sakshi, 2019. "Complex network based comparative analysis of Delhi Metro network and its extension," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 526(C).
    9. Psaltoglou, Artemis & Calle, Eusebi, 2018. "Enhanced connectivity index – A new measure for identifying critical points in urban public transportation networks," International Journal of Critical Infrastructure Protection, Elsevier, vol. 21(C), pages 22-32.
    10. Muriel-Villegas, Juan E. & Alvarez-Uribe, Karla C. & Patiño-Rodríguez, Carmen E. & Villegas, Juan G., 2016. "Analysis of transportation networks subject to natural hazards – Insights from a Colombian case," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 151-165.
    11. Editorial, 2020. "Covid-19 and Climate Change," Journal, Review of Agrarian Studies, vol. 10(1), pages 5-6, January-J.
    12. Faramondi, Luca & Oliva, Gabriele & Setola, Roberto, 2020. "Multi-criteria node criticality assessment framework for critical infrastructure networks," International Journal of Critical Infrastructure Protection, Elsevier, vol. 28(C).
    13. Zhang, Jianhua & Wang, Shuliang & Wang, Xiaoyuan, 2018. "Comparison analysis on vulnerability of metro networks based on complex network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 496(C), pages 72-78.
    14. Sergey V. Buldyrev & Roni Parshani & Gerald Paul & H. Eugene Stanley & Shlomo Havlin, 2010. "Catastrophic cascade of failures in interdependent networks," Nature, Nature, vol. 464(7291), pages 1025-1028, April.
    15. Cameron Hepburn & Brian O’Callaghan & Nicholas Stern & Joseph Stiglitz & Dimitri Zenghelis, 2020. "Will COVID-19 fiscal recovery packages accelerate or retard progress on climate change?," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 36(Supplemen), pages 359-381.
    16. Cameron Hepburn & Brian O’Callaghan & Nicholas Stern & Joseph Stiglitz & Dimitri Zenghelis, 0. "Will COVID-19 fiscal recovery packages accelerate or retard progress on climate change?," Oxford Review of Economic Policy, Oxford University Press, vol. 36(Supplemen), pages 359-381.
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    Cited by:

    1. Liping Ge & Stefan Voß & Lin Xie, 2022. "Robustness and disturbances in public transport," Public Transport, Springer, vol. 14(1), pages 191-261, March.
    2. Zhang, Yifan & Ng, S. Thomas, 2022. "Robustness of urban railway networks against the cascading failures induced by the fluctuation of passenger flow," Reliability Engineering and System Safety, Elsevier, vol. 219(C).

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