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An impact-based approach for the analysis of cascading effects in critical infrastructures

Author

Listed:
  • Luisa Franchina
  • Marco Carbonelli
  • Laura Gratta
  • Maria Crisci
  • Daniele Perucchini

Abstract

An original methodology for the analysis of cascading effects in critical infrastructure is hereby presented. First of all, a rationale to identify elements (items) of daily life of citizens whose lack would cause a considerable impact on the quality of life of population is discussed. Then, a methodology to foresee domino effects among infrastructures is described. This methodology allows to account for domino effects in the identification of critical infrastructures, based on the impact on citizens of the outage of the various infrastructures, and supports an effective implementation of EU Directive 114/08/CE on the identification and protection of critical infrastructures.

Suggested Citation

  • Luisa Franchina & Marco Carbonelli & Laura Gratta & Maria Crisci & Daniele Perucchini, 2011. "An impact-based approach for the analysis of cascading effects in critical infrastructures," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 7(1), pages 73-90.
    • Handle: RePEc:ids:ijcist:v:7:y:2011:i:1:p:73-90
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    Citations

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    Cited by:

    1. Stergiopoulos, George & Kotzanikolaou, Panayiotis & Theocharidou, Marianthi & Lykou, Georgia & Gritzalis, Dimitris, 2016. "Time-based critical infrastructure dependency analysis for large-scale and cross-sectoral failures," International Journal of Critical Infrastructure Protection, Elsevier, vol. 12(C), pages 46-60.
    2. J. B. Cuartas & Tim Frazier & Erik Wood, 2021. "The application of cascading consequences for emergency management operations," 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. 108(3), pages 2919-2938, September.
    3. Hassan Al-Zarooni & Hamdi Bashir, 2020. "An integrated ISM fuzzy MICMAC approach for modeling and analyzing electrical power system network interdependencies," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(6), pages 1204-1226, December.
    4. Rehak, David & Senovsky, Pavel & Hromada, Martin & Lovecek, Tomas & Novotny, Petr, 2018. "Cascading Impact Assessment in a Critical Infrastructure System," International Journal of Critical Infrastructure Protection, Elsevier, vol. 22(C), pages 125-138.
    5. Samiul Hasan & Greg Foliente, 2015. "Modeling infrastructure system interdependencies and socioeconomic impacts of failure in extreme events: emerging R&D challenges," 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. 78(3), pages 2143-2168, September.
    6. Markolf, Samuel A. & Hoehne, Christopher & Fraser, Andrew & Chester, Mikhail V. & Underwood, B. Shane, 2019. "Transportation resilience to climate change and extreme weather events – Beyond risk and robustness," Transport Policy, Elsevier, vol. 74(C), pages 174-186.
    7. 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.
    8. Hassan Al-Zarooni & Hamdi Bashir, 0. "An integrated ISM fuzzy MICMAC approach for modeling and analyzing electrical power system network interdependencies," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 0, pages 1-23.
    9. Lu, Qing-Chang & Xu, Peng-Cheng & Zhao, Xiangmo & Zhang, Lei & Li, Xiaoling & Cui, Xin, 2022. "Measuring network interdependency between dependent networks: A supply-demand-based approach," Reliability Engineering and System Safety, Elsevier, vol. 225(C).

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