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A multi-perspective functionality loss assessment of coupled railway and airline systems under extreme events

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  • Zhang, Hui
  • Xu, Min
  • Ouyang, Min

Abstract

The coupled national-scale railway and airline systems (CRASs) have drastically improved inter-city connectivity and national economics, but they remain susceptible to various extreme events. These events, including flooding and typhoon, often manifest as localized events because all direct interrupted components lie in a small region relative to the large-scale distribution of CRASs. Instead of the hazard-specific modeling of each localized event, this paper introduces four types of localized disruption models to simulate localized events with various locations, impact coverages, and time spans. A multi-perspective framework is then proposed for travel time-based functionality loss assessment of CRASs under localized events. Taking CRASs in China as an application, results demonstrate that (1) the functionality loss is highly sensitive to the event location, and events in areas with more population, higher GDP, and larger transport systems tend to cause higher functionality loss; (2) the impact coverage of events has a limited influence on functionality loss, as critical areas identified under circle-shaped impact coverage keep consistent with those under administrative district-based coverage; (3) the functionality loss and critical areas vary largely with the time span of localized events. The findings provide valuable insights in devising mitigation strategies for CRASs against various extreme events.

Suggested Citation

  • Zhang, Hui & Xu, Min & Ouyang, Min, 2024. "A multi-perspective functionality loss assessment of coupled railway and airline systems under extreme events," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
  • Handle: RePEc:eee:reensy:v:243:y:2024:i:c:s0951832023007457
    DOI: 10.1016/j.ress.2023.109831
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    as
    1. Min Ouyang & Hui Tian & Zhenghua Wang & Liu Hong & Zijun Mao, 2019. "Critical Infrastructure Vulnerability to Spatially Localized Failures with Applications to Chinese Railway System," Risk Analysis, John Wiley & Sons, vol. 39(1), pages 180-194, January.
    2. Xingjie Hao & Shanshan Cheng & Degang Wu & Tangchun Wu & Xihong Lin & Chaolong Wang, 2020. "Reconstruction of the full transmission dynamics of COVID-19 in Wuhan," Nature, Nature, vol. 584(7821), pages 420-424, August.
    3. Kai Gong & Jia-Jian Wu & Ying Liu & Qing Li & Run-Ran Liu & Ming Tang, 2019. "The Effective Healing Strategy against Localized Attacks on Interdependent Spatially Embedded Networks," Complexity, Hindawi, vol. 2019, pages 1-10, May.
    4. Mingyuan Zhang & Juan Zhang & Gang Li & Yuan Zhao, 2020. "A Framework for Identifying the Critical Region in Water Distribution Network for Reinforcement Strategy from Preparation Resilience," Sustainability, MDPI, vol. 12(21), pages 1-17, November.
    5. Sean Wilkinson & Sarah Dunn & Shu Ma, 2012. "The vulnerability of the European air traffic network to spatial hazards," 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. 60(3), pages 1027-1036, February.
    6. Hong, Liu & Ouyang, Min & Xu, Min & Hu, Peipei, 2020. "Time-varied accessibility and vulnerability analysis of integrated metro and high-speed rail systems," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    7. Fan, Dongming & Sun, Bo & Dui, Hongyan & Zhong, Jilong & Wang, Ziyao & Ren, Yi & Wang, Zili, 2022. "A modified connectivity link addition strategy to improve the resilience of multiplex networks against attacks," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    8. Li, Tao & Rong, Lili & Yan, Kesheng, 2019. "Vulnerability analysis and critical area identification of public transport system: A case of high-speed rail and air transport coupling system in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 127(C), pages 55-70.
    9. Woodburn, Allan, 2019. "Rail network resilience and operational responsiveness during unplanned disruption: A rail freight case study," Journal of Transport Geography, Elsevier, vol. 77(C), pages 59-69.
    10. Bešinović, Nikola & Ferrari Nassar, Raphael & Szymula, Christopher, 2022. "Resilience assessment of railway networks: Combining infrastructure restoration and transport management," Reliability Engineering and System Safety, Elsevier, vol. 224(C).
    11. Hong, Liu & Ye, Bowen & Yan, Han & Zhang, Hui & Ouyang, Min & (Sean) He, Xiaozheng, 2019. "Spatiotemporal vulnerability analysis of railway systems with heterogeneous train flows," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 725-744.
    12. D. J. Weiss & A. Nelson & H. S. Gibson & W. Temperley & S. Peedell & A. Lieber & M. Hancher & E. Poyart & S. Belchior & N. Fullman & B. Mappin & U. Dalrymple & J. Rozier & T. C. D. Lucas & R. E. Howes, 2018. "A global map of travel time to cities to assess inequalities in accessibility in 2015," Nature, Nature, vol. 553(7688), pages 333-336, January.
    13. Ouyang, Min, 2017. "A mathematical framework to optimize resilience of interdependent critical infrastructure systems under spatially localized attacks," European Journal of Operational Research, Elsevier, vol. 262(3), pages 1072-1084.
    14. Li, Tao & Rong, Lili, 2022. "Spatiotemporally complementary effect of high-speed rail network on robustness of aviation network," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 95-114.
    15. 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.
    16. Bell, Michael G.H. & Kurauchi, Fumitaka & Perera, Supun & Wong, Walter, 2017. "Investigating transport network vulnerability by capacity weighted spectral analysis," Transportation Research Part B: Methodological, Elsevier, vol. 99(C), pages 251-266.
    17. Weiping Wang & Saini Yang & H. Eugene Stanley & Jianxi Gao, 2019. "Local floods induce large-scale abrupt failures of road networks," Nature Communications, Nature, vol. 10(1), pages 1-11, December.
    18. Chao Fang & Piao Dong & Yi-Ping Fang & Enrico Zio, 2020. "Vulnerability analysis of critical infrastructure under disruptions: An application to China Railway High-speed," Journal of Risk and Reliability, , vol. 234(2), pages 235-245, April.
    19. Liu, Enze & Barker, Kash & Chen, Hong, 2022. "A multi-modal evacuation-based response strategy for mitigating disruption in an intercity railway system," Reliability Engineering and System Safety, Elsevier, vol. 223(C).
    20. Wang, Zhaojing & Jia, Limin & Ma, Xiaoping & Sun, Xuehui & Tang, Qianxue & Qian, Sina, 2022. "Accessibility-oriented performance evaluation of high-speed railways using a three-layer network model," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    21. Tang, Yumeng & Li, Shuang & Zhai, Changhai & Zhao, Jianjun, 2023. "Railway operation recovery method of regional high-speed railway based on optimal resilience after earthquakes," Reliability Engineering and System Safety, Elsevier, vol. 238(C).
    22. Banerjee, Abhijit & Duflo, Esther & Qian, Nancy, 2020. "On the road: Access to transportation infrastructure and economic growth in China," Journal of Development Economics, Elsevier, vol. 145(C).
    23. Caroline A Johnson & Allison C Reilly & Roger Flage & Seth D Guikema, 2021. "Characterizing the robustness of power-law networks that experience spatially-correlated failures," Journal of Risk and Reliability, , vol. 235(3), pages 403-415, June.
    24. Szymula, Christopher & Bešinović, Nikola, 2020. "Passenger-centered vulnerability assessment of railway networks," Transportation Research Part B: Methodological, Elsevier, vol. 136(C), pages 30-61.
    25. Voltes-Dorta, Augusto & Rodríguez-Déniz, Héctor & Suau-Sanchez, Pere, 2017. "Vulnerability of the European air transport network to major airport closures from the perspective of passenger delays: Ranking the most critical airports," Transportation Research Part A: Policy and Practice, Elsevier, vol. 96(C), pages 119-145.
    26. Dunn, Sarah & Wilkinson, Sean M., 2016. "Increasing the resilience of air traffic networks using a network graph theory approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 90(C), pages 39-50.
    27. Wang, Shuliang & Stanley, H. Eugene & Gao, Yachun, 2018. "A methodological framework for vulnerability analysis of interdependent infrastructure systems under deliberate attacks," Chaos, Solitons & Fractals, Elsevier, vol. 117(C), pages 21-29.
    28. Faturechi, Reza & Miller-Hooks, Elise, 2014. "Travel time resilience of roadway networks under disaster," Transportation Research Part B: Methodological, Elsevier, vol. 70(C), pages 47-64.
    29. Li, Tao & Rong, Lili, 2021. "Impacts of service feature on vulnerability analysis of high-speed rail network," Transport Policy, Elsevier, vol. 110(C), pages 238-253.
    30. Ouyang, Min, 2016. "Critical location identification and vulnerability analysis of interdependent infrastructure systems under spatially localized attacks," Reliability Engineering and System Safety, Elsevier, vol. 154(C), pages 106-116.
    31. Lester Blackmon & Ross Chan & Omar Carbral & Geeta Chintapally & Sandip Dhara & Peter Felix & Aditi Jagdish & Srini Konakalla & Jasbir Labana & Jeff McIlvain & Jason Stone & Christopher S. Tang & Jaso, 2021. "Rapid Development of a Decision Support System to Alleviate Food Insecurity at the Los Angeles Regional Food Bank amid the COVID‐19 Pandemic," Production and Operations Management, Production and Operations Management Society, vol. 30(10), pages 3391-3407, October.
    32. Yan, Yongze & Hong, Liu & He, Xiaozheng & Ouyang, Min & Peeta, Srinivas & Chen, Xueguang, 2017. "Pre-disaster investment decisions for strengthening the Chinese railway system under earthquakes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 105(C), pages 39-59.
    33. Ouyang, Min & Pan, ZheZhe & Hong, Liu & He, Yue, 2015. "Vulnerability analysis of complementary transportation systems with applications to railway and airline systems in China," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 248-257.
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