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Modelling the interdependencies of critical infrastructures during natural disasters: a case of supply, communication and transportation infrastructures

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  • Yoshio Kajitani
  • Shigeo Sagai

Abstract

This paper introduces the methodological challenge of identifying and quantifying the interdependencies among several critical infrastructures. First, interdependency structures during a natural disaster are modelled-based on past events, considering supply (electricity, water and gas), communication (internet and telephone) and transportation infrastructures (road networks). Interdependencies are defined with respect to physical, functional and socioeconomic interrelationships. A quantification strategy is then introduced based on empirical surveys and economic models. As a case study, the developed model is applied to the 2004 Mid-Niigata Earthquake, which severely damaged infrastructure systems in the central mountainous area of Japan.

Suggested Citation

  • Yoshio Kajitani & Shigeo Sagai, 2009. "Modelling the interdependencies of critical infrastructures during natural disasters: a case of supply, communication and transportation infrastructures," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 5(1/2), pages 38-50.
    • Handle: RePEc:ids:ijcist:v:5:y:2009:i:1/2:p:38-50
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    Citations

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    Cited by:

    1. Monsalve, Mauricio & de la Llera, Juan Carlos, 2019. "Data-driven estimation of interdependencies and restoration of infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 181(C), pages 167-180.
    2. 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.
    3. Fotouhi, Hossein & Moryadee, Seksun & Miller-Hooks, Elise, 2017. "Quantifying the resilience of an urban traffic-electric power coupled system," Reliability Engineering and System Safety, Elsevier, vol. 163(C), pages 79-94.
    4. Liu, Huan & Tatano, Hirokazu & Pflug, Georg & Hochrainer-Stigler, Stefan, 2021. "Post-disaster recovery in industrial sectors: A Markov process analysis of multiple lifeline disruptions," Reliability Engineering and System Safety, Elsevier, vol. 206(C).
    5. Mishra, Vishrut Kumar & Palleti, Venkata Reddy & Mathur, Aditya, 2019. "A modeling framework for critical infrastructure and its application in detecting cyber-attacks on a water distribution system," International Journal of Critical Infrastructure Protection, Elsevier, vol. 26(C).

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