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Modelling the resilience, friability and costs of an air transport network affected by a large-scale disruptive event

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  • Janić, Milan

Abstract

This paper deals with developing a methodology for estimating the resilience, friability, and costs of an air transport network affected by a large-scale disruptive event. The network consists of airports and airspace/air routes between them where airlines operate their flights. Resilience is considered as the ability of the network to neutralize the impacts of disruptive event(s). Friability implies reducing the network’s existing resilience due to removing particular nodes/airports and/or links/air routes, and consequently cancelling the affected airline flights. The costs imply additional expenses imposed on airports, airlines, and air passengers as the potentially most affected actors/stakeholders due to mitigating actions such as delaying, cancelling and rerouting particular affected flights. These actions aim at maintaining both the network’s resilience and safety at the acceptable level under given conditions.

Suggested Citation

  • Janić, Milan, 2015. "Modelling the resilience, friability and costs of an air transport network affected by a large-scale disruptive event," Transportation Research Part A: Policy and Practice, Elsevier, vol. 71(C), pages 1-16.
    • Handle: RePEc:eee:transa:v:71:y:2015:i:c:p:1-16
    DOI: 10.1016/j.tra.2014.10.023
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    Cited by:

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    6. Leonidas Siozos-Rousoulis & Dimitri Robert & Wouter Verbeke, 2021. "A study of the U.S. domestic air transportation network: temporal evolution of network topology and robustness from 2001 to 2016," Journal of Transportation Security, Springer, vol. 14(1), pages 55-78, June.
    7. Li, Zhaolong & Jin, Chun & Hu, Pan & Wang, Cong, 2019. "Resilience-based transportation network recovery strategy during emergency recovery phase under uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 503-514.
    8. 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.
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    10. Milan Janić, 2018. "Modelling the resilience of rail passenger transport networks affected by large-scale disruptive events: the case of HSR (high speed rail)," Transportation, Springer, vol. 45(4), pages 1101-1137, July.
    11. Madani, Seyed Reza & Shahandeh Nookabadi, Ali & Hejazi, Seyed Reza, 2018. "A bi-objective, reliable single allocation p-hub maximal covering location problem: Mathematical formulation and solution approach," Journal of Air Transport Management, Elsevier, vol. 68(C), pages 118-136.
    12. Voltes-Dorta, Augusto & Rodríguez-Déniz, Héctor & Suau-Sanchez, Pere, 2017. "Passenger recovery after an airport closure at tourist destinations: A case study of Palma de Mallorca airport," Tourism Management, Elsevier, vol. 59(C), pages 449-466.
    13. Hosseini, Seyedmohsen & Barker, Kash & Ramirez-Marquez, Jose E., 2016. "A review of definitions and measures of system resilience," Reliability Engineering and System Safety, Elsevier, vol. 145(C), pages 47-61.
    14. Takebayashi, Mikio & Onishi, Masamitsu, 2018. "Managing reliever gateway airports with high-speed rail network," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 133-146.
    15. Pan, Shouzheng & Yan, Hai & He, Jia & He, Zhengbing, 2021. "Vulnerability and resilience of transportation systems: A recent literature review," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).
    16. Wang, Junwei & Zhou, Yaoming & Huang, George Q., 2019. "Alternative pair in the airport network," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 408-418.
    17. Marsden, Greg & Reardon, Louise, 2017. "Questions of governance: Rethinking the study of transportation policy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 238-251.
    18. Wong, Allen & Tan, Sijian & Chandramouleeswaran, Keshav Ram & Tran, Huy T., 2020. "Data-driven analysis of resilience in airline networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 143(C).
    19. Jakšić, Zoran & Janić, Milan, 2020. "Modeling resilience of the ATC (Air Traffic Control) sectors," Journal of Air Transport Management, Elsevier, vol. 89(C).
    20. Zhou, Yaoming & Kundu, Tanmoy & Qin, Wei & Goh, Mark & Sheu, Jiuh-Biing, 2021. "Vulnerability of the worldwide air transportation network to global catastrophes such as COVID-19," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 154(C).
    21. Li, Tao & Rong, Lili, 2020. "A comprehensive method for the robustness assessment of high-speed rail network with operation data: A case in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 666-681.
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    23. Zhu, Chunli & Wu, Jianping & Liu, Mingyu & Wang, Linyang & Li, Duowei & Kouvelas, Anastasios, 2021. "Recovery preparedness of global air transport influenced by COVID-19 pandemic: Policy intervention analysis," Transport Policy, Elsevier, vol. 106(C), pages 54-63.

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