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Multi-disruption resilience assessment of rail transit systems with optimized commuter flows

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  • Tang, Junqing
  • Xu, Lei
  • Luo, Chunling
  • Ng, Tsan Sheng Adam

Abstract

This paper studies the resilient performance of urban rail transit systems by extending a linear programming optimization model, which can provide optimized commuter flows with contingency routing under multiple disruptions. The rail transit systems in Singapore and Chongqing (China) are selected as case studies, and the system resilience and the effectiveness of providing bus-bridging services are comparatively studied. Intuitively, failures of the interchange stations would inevitably lead to a significant loss of resilience due to deteriorated network connectivity. However, the Singapore case shows that attacking those interchange stations does not always result in an extensive resilience loss. Comparing with the Chongqing case, it is discernible that the position of interchange stations would affect the system resilience. The numerical simulations reveal that the positive effect of providing bus-bridging strategy, in terms of improving the system resilience, is heterogeneous in different systems, which varies from 14% to 30% on average. As demonstrated in the sensitivity on travel demands, this positive effect is robust, yet dynamic, indicating that there is no one-size-fits-all solution for designing transfer-based recovery strategies in disruption management of rail transit systems. The managerial implications for decision makers are also provided and discussed in terms of infrastructure planning.

Suggested Citation

  • Tang, Junqing & Xu, Lei & Luo, Chunling & Ng, Tsan Sheng Adam, 2021. "Multi-disruption resilience assessment of rail transit systems with optimized commuter flows," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
    • Handle: RePEc:eee:reensy:v:214:y:2021:i:c:s0951832021002490
    DOI: 10.1016/j.ress.2021.107715
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    as
    1. Derrible, Sybil & Kennedy, Christopher, 2010. "The complexity and robustness of metro networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(17), pages 3678-3691.
    2. Tang, Junqing & Heinimann, Hans & Khoja, Layla, 2019. "Quantitative evaluation of consecutive resilience cycles in stock market performance: A systems-oriented approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 532(C).
    3. Nielsen, Lars Kjær & Kroon, Leo & Maróti, Gábor, 2012. "A rolling horizon approach for disruption management of railway rolling stock," European Journal of Operational Research, Elsevier, vol. 220(2), pages 496-509.
    4. Junqing Tang & Hans R. Heinimann, 2019. "Quantitative evaluation of consecutive resilience cycles in stock market performance: A systems-oriented approach," Papers 1903.03201, arXiv.org.
    5. Gao, Yuan & Kroon, Leo & Schmidt, Marie & Yang, Lixing, 2016. "Rescheduling a metro line in an over-crowded situation after disruptions," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 425-449.
    6. Valentina Cacchiani & Alberto Caprara & Laura Galli & Leo Kroon & Gábor Maróti & Paolo Toth, 2012. "Railway Rolling Stock Planning: Robustness Against Large Disruptions," Transportation Science, INFORMS, vol. 46(2), pages 217-232, May.
    7. Sun, Daniel (Jian) & Guan, Shituo, 2016. "Measuring vulnerability of urban metro network from line operation perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 348-359.
    8. Liu, Wei & Song, Zhaoyang, 2020. "Review of studies on the resilience of urban critical infrastructure networks," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    9. Ouyang, Min & Liu, Chuang & Xu, Min, 2019. "Value of resilience-based solutions on critical infrastructure protection: Comparing with robustness-based solutions," Reliability Engineering and System Safety, Elsevier, vol. 190(C), pages 1-1.
    10. López, Fernando A. & Páez, Antonio & Carrasco, Juan A. & Ruminot, Natalia A., 2017. "Vulnerability of nodes under controlled network topology and flow autocorrelation conditions," Journal of Transport Geography, Elsevier, vol. 59(C), pages 77-87.
    11. Szymula, Christopher & Bešinović, Nikola, 2020. "Passenger-centered vulnerability assessment of railway networks," Transportation Research Part B: Methodological, Elsevier, vol. 136(C), pages 30-61.
    12. Lu, Qing-Chang, 2018. "Modeling network resilience of rail transit under operational incidents," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 227-237.
    13. Jin, Jian Gang & Lu, Linjun & Sun, Lijun & Yin, Jingbo, 2015. "Optimal allocation of protective resources in urban rail transit networks against intentional attacks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 84(C), pages 73-87.
    14. Evelien van der Hurk & Leo Kroon & Gábor Maróti, 2018. "Passenger Advice and Rolling Stock Rescheduling Under Uncertainty for Disruption Management," Service Science, INFORMS, vol. 52(6), pages 1391-1411, December.
    15. Zhang, X. & Miller-Hooks, E. & Denny, K., 2015. "Assessing the role of network topology in transportation network resilience," Journal of Transport Geography, Elsevier, vol. 46(C), pages 35-45.
    16. Adjetey-Bahun, Kpotissan & Birregah, Babiga & Châtelet, Eric & Planchet, Jean-Luc, 2016. "A model to quantify the resilience of mass railway transportation systems," Reliability Engineering and System Safety, Elsevier, vol. 153(C), pages 1-14.
    17. Jin, Jian Gang & Tang, Loon Ching & Sun, Lijun & Lee, Der-Horng, 2014. "Enhancing metro network resilience via localized integration with bus services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 63(C), pages 17-30.
    18. Hong, Liu & Ouyang, Min & Peeta, Srinivas & He, Xiaozheng & Yan, Yongze, 2015. "Vulnerability assessment and mitigation for the Chinese railway system under floods," Reliability Engineering and System Safety, Elsevier, vol. 137(C), pages 58-68.
    19. Dimitrov, Stavri Dimitri & Ceder, Avishai (Avi), 2016. "A method of examining the structure and topological properties of public-transport networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 373-387.
    20. Lichun Chen & Elise Miller-Hooks, 2012. "Resilience: An Indicator of Recovery Capability in Intermodal Freight Transport," Transportation Science, INFORMS, vol. 46(1), pages 109-123, February.
    21. Pender, Brendan & Currie, Graham & Delbosc, Alexa & Shiwakoti, Nirajan, 2014. "Improving bus bridging responses via satellite bus reserve locations," Journal of Transport Geography, Elsevier, vol. 34(C), pages 202-210.
    22. Cadarso, Luis & Marín, Ángel & Maróti, Gábor, 2013. "Recovery of disruptions in rapid transit networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 53(C), pages 15-33.
    23. E. Codina & A. Marín & F. López, 2013. "A model for setting services on auxiliary bus lines under congestion," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 21(1), pages 48-83, April.
    24. Dekker, M.M. & van Lieshout, R.N. & Ball, R.C. & Bouman, P.C. & Dekker, S.C. & Dijkstra, H.A. & Goverde, R.M.P. & Huisman, D. & Panja, D. & Schaafsma, A.M. & van den Akker, M., 2018. "A Next Step in Disruption Management: Combining Operations Research and Complexity Science," Econometric Institute Research Papers EI2018-25, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    25. Goldbeck, Nils & Angeloudis, Panagiotis & Ochieng, Washington Y., 2019. "Resilience assessment for interdependent urban infrastructure systems using dynamic network flow models," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 62-79.
    26. Harshad Khadilkar, 2017. "Data-Enabled Stochastic Modeling for Evaluating Schedule Robustness of Railway Networks," Transportation Science, INFORMS, vol. 51(4), pages 1161-1176, November.
    27. Gu, Yu & Fu, Xiao & Liu, Zhiyuan & Xu, Xiangdong & Chen, Anthony, 2020. "Performance of transportation network under perturbations: Reliability, vulnerability, and resilience," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    28. Vodopivec, Neža & Miller-Hooks, Elise, 2019. "Transit system resilience: Quantifying the impacts of disruptions on diverse populations," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    29. Jian Gang Jin & Kwong Meng Teo & Amedeo R. Odoni, 2016. "Optimizing Bus Bridging Services in Response to Disruptions of Urban Transit Rail Networks," Transportation Science, INFORMS, vol. 50(3), pages 790-804, August.
    30. Chengpeng Wan & Zaili Yang & Di Zhang & Xinping Yan & Shiqi Fan, 2018. "Resilience in transportation systems: a systematic review and future directions," Transport Reviews, Taylor & Francis Journals, vol. 38(4), pages 479-498, July.
    31. Zeng, Amy Z. & Durach, Christian F. & Fang, Yan, 2012. "Collaboration decisions on disruption recovery service in urban public tram systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(3), pages 578-590.
    32. Michael Batty, 2020. "The Coronavirus crisis: What will the post-pandemic city look like?," Environment and Planning B, , vol. 47(4), pages 547-552, June.
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