IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-04135558.html
   My bibliography  Save this paper

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-04135558
    as

    Download full text from publisher

    File URL: https://imt-mines-ales.hal.science/hal-04135558/document
    Download Restriction: no

    File URL: https://libkey.io/10.1016/j.ijcip.2023.100616?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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. 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.
    4. 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.
    5. 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.
    6. 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.
    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).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yang, Zhuyu & Barroca, Bruno & Laffréchine, Katia & Weppe, Alexandre & Bony-Dandrieux, Aurélia & Daclin, Nicolas, 2023. "A multi-criteria framework for critical infrastructure systems resilience," International Journal of Critical Infrastructure Protection, Elsevier, vol. 42(C).
    2. Poulin, Craig & Kane, Michael B., 2021. "Infrastructure resilience curves: Performance measures and summary metrics," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    3. Watson, Bryan C & Morris, Zack B & Weissburg, Marc & Bras, Bert, 2023. "System of system design-for-resilience heuristics derived from forestry case study variants," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    4. Tiong, Achara & Vergara, Hector A., 2023. "Evaluation of network expansion decisions for resilient interdependent critical infrastructures with different topologies," International Journal of Critical Infrastructure Protection, Elsevier, vol. 42(C).
    5. Tiong, Achara & Vergara, Hector A., 2023. "A two-stage stochastic multi-objective resilience optimization model for network expansion of interdependent power–water networks under disruption," International Journal of Critical Infrastructure Protection, Elsevier, vol. 40(C).
    6. Trucco, Paolo & Petrenj, Boris, 2023. "Characterisation of resilience metrics in full-scale applications to interdependent infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    7. Zou, Qiling & Chen, Suren, 2019. "Enhancing resilience of interdependent traffic-electric power system," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    8. Ali Nouri Qarahasanlou & Ali Zamani & Abbas Barabadi & Mahdi Mokhberdoran, 2021. "Resilience Assessment: A Performance-Based Importance Measure," Energies, MDPI, vol. 14(22), pages 1-16, November.
    9. Mohamad Darayi & Kash Barker & Joost R. Santos, 2017. "Component Importance Measures for Multi-Industry Vulnerability of a Freight Transportation Network," Networks and Spatial Economics, Springer, vol. 17(4), pages 1111-1136, December.
    10. Jingjing Kong & Chao Zhang & Slobodan P. Simonovic, 2019. "A Two-Stage Restoration Resource Allocation Model for Enhancing the Resilience of Interdependent Infrastructure Systems," Sustainability, MDPI, vol. 11(19), pages 1-16, September.
    11. Tobias Mueller & Steven Gronau, 2023. "Fostering Macroeconomic Research on Hydrogen-Powered Aviation: A Systematic Literature Review on General Equilibrium Models," Energies, MDPI, vol. 16(3), pages 1-33, February.
    12. Nabil Touili, 2021. "Hazards, Infrastructure Networks and Unspecific Resilience," Sustainability, MDPI, vol. 13(9), pages 1-16, April.
    13. Almoghathawi, Yasser & Barker, Kash & Albert, Laura A., 2019. "Resilience-driven restoration model for interdependent infrastructure networks," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 12-23.
    14. Xu, Zhaoping & Ramirez-Marquez, Jose Emmanuel & Liu, Yu & Xiahou, Tangfan, 2020. "A new resilience-based component importance measure for multi-state networks," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    15. Liu, Xing & Ferrario, Elisa & Zio, Enrico, 2019. "Identifying resilient-important elements in interdependent critical infrastructures by sensitivity analysis," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 423-434.
    16. Ilalokhoin, Ohis & Pant, Raghav & Hall, Jim W., 2023. "A model and methodology for resilience assessment of interdependent rail networks – Case study of Great Britain's rail network," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    17. Perera, A.T.D. & Zhao, Bingyu & Wang, Zhe & Soga, Kenichi & Hong, Tianzhen, 2023. "Optimal design of microgrids to improve wildfire resilience for vulnerable communities at the wildland-urban interface," Applied Energy, Elsevier, vol. 335(C).
    18. Wu, Jingyi & Yu, Yang & Yu, Jianxing & Chang, Xueying & Xu, Lixin & Zhang, Wenhao, 2023. "A Markov resilience assessment framework for tension leg platform under mooring failure," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    19. Liu, Xing & Fang, Yi-Ping & Zio, Enrico, 2021. "A Hierarchical Resilience Enhancement Framework for Interdependent Critical Infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    20. 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).

    More about this item

    Keywords

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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-04135558. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.