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A multi-criteria framework for critical infrastructure systems resilience

Author

Listed:
  • Zhuyu Yang

    (LAB'URBA - LAB'URBA - UPEC UP12 - Université Paris-Est Créteil Val-de-Marne - Paris 12 - Université Gustave Eiffel, LATTS - Laboratoire Techniques, Territoires et Sociétés - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - Université Gustave Eiffel)

  • Bruno Barroca

    (LAB'URBA - LAB'URBA - UPEC UP12 - Université Paris-Est Créteil Val-de-Marne - Paris 12 - Université Gustave Eiffel)

  • Katia Laffréchine

    (LAB'URBA - LAB'URBA - UPEC UP12 - Université Paris-Est Créteil Val-de-Marne - Paris 12 - Université Gustave Eiffel)

  • Alexandre Weppe

    (LSR - Laboratoire des Sciences des Risques - IMT - MINES ALES - IMT - MINES ALES - IMT - Institut Mines-Télécom [Paris])

  • Aurélia Bony-Dandrieux

    (LSR - Laboratoire des Sciences des Risques - IMT - MINES ALES - IMT - MINES ALES - IMT - Institut Mines-Télécom [Paris])

  • Nicolas Daclin

    (LSR - Laboratoire des Sciences des Risques - IMT - MINES ALES - IMT - MINES ALES - IMT - Institut Mines-Télécom [Paris])

Abstract

Critical infrastructure systems (CISs) play an essential role in modern society, as they are important for maintaining critical social functions, economic organisation, and national defence. Recently, CISs resilience has gained popularity in both academic and policy filed facing increased natural or technological disasters. Resilience assessments have become convenient and common tools for disaster management, as assessment results provide useful information to CIS managers. However, CISs resilience assessment is facing challenges of being practical to use in operational risk management. Although there are many existing assessments for CISs resilience, some shortcomings relating to assessment criteria, which cannot turn resilience useful in practical operation, are frequent in their assessment process. Existing assessments are based on different definitions, which makes criteria generalization difficult. Besides, these assessments are not comprehensive enough. Especially, few assessments address both the cost, effectiveness, and safety of optimisation actions. Moreover, most of the suggested criteria are not specific enough for being used for practical CISs risk management in real cases. This article develops therefore a multi-criteria framework (MCF) for CISs resilience, consisting of general criteria and a guide for defining specific sub-criteria. In this MCF, the side effects, cascading effects and costbenefit in resilience scenarios are considered indispensable for CISs resilience assessment. The paper also presents an example of the application of the developed guide through two detailed scenarios, one on a single infrastructural system affected by a natural disaster, and the other addressing the interdependence of this infrastructural system and an urban healthcare system. The designed MCF contributes to the operationalisation and comprehensiveness of CISs resilience assessments.

Suggested Citation

  • Zhuyu Yang & Bruno Barroca & Katia Laffréchine & Alexandre Weppe & Aurélia Bony-Dandrieux & Nicolas Daclin, 2023. "A multi-criteria framework for critical infrastructure systems resilience," Post-Print hal-04135558, HAL.
  • Handle: RePEc:hal:journl:hal-04135558
    DOI: 10.1016/j.ijcip.2023.100616
    Note: View the original document on HAL open archive server: https://imt-mines-ales.hal.science/hal-04135558v1
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    References listed on IDEAS

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    1. 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.
    2. Bruno Barroca & Maria Fabrizia Clemente & Zhuyu Yang, 2023. "Application of “Behind the Barriers” Model at Neighbourhood Scale to Improve Water Management under Multi-Risks Scenarios: A Case Study in Lyon, France," IJERPH, MDPI, vol. 20(3), pages 1-21, January.
    3. Adel Mottahedi & Farhang Sereshki & Mohammad Ataei & Ali Nouri Qarahasanlou & Abbas Barabadi, 2021. "The Resilience of Critical Infrastructure Systems: A Systematic Literature Review," Energies, MDPI, vol. 14(6), pages 1-32, March.
    4. Zhuyu Yang & Maria Fabrizia Clemente & Katia Laffréchine & Charlotte Heinzlef & Damien Serre & Bruno Barroca, 2022. "Resilience of Social-Infrastructural Systems: Functional Interdependencies Analysis," Sustainability, MDPI, vol. 14(2), pages 1-16, January.
    5. Ouyang, Min, 2014. "Review on modeling and simulation of interdependent critical infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 43-60.
    6. Quan Mao & Nan Li, 2018. "Assessment of the impact of interdependencies on the resilience of networked critical infrastructure systems," 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. 93(1), pages 315-337, August.
    7. Mottahedi, Adel & Sereshki, Farhang & Ataei, Mohammad & Qarahasanlou, Ali Nouri & Barabadi, Abbas, 2021. "Resilience estimation of critical infrastructure systems: Application of expert judgment," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
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    Keywords

    Critical infrastructure systems; Multi-criteria; Resilience; Disaster management; Resilience assessment;
    All these keywords.

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