Multiplex networks in resilience modeling of critical infrastructure systems: A systematic review

Ying Wang, Ou Zhao and Limao Zhang

Reliability Engineering and System Safety, 2024, vol. 250, issue C

Abstract: Modeling the effect of extreme events on multiple interdependent critical infrastructure systems (CIS) simultaneously is essential for improving their resilience. To uncover CIS resilience, an increasing number of studies are attempting to incorporate the interdependency in CIS resilience modeling under disaster events, where multiplex network is a powerful and promising representative. This paper presents a systematic review of multiplex networks in CIS resilience modeling and discusses the state of the art on the topic. This review helps to guide the construction of multiplex networks in CIS with different types of interdependencies and highlights the key aspects of CIS resilience modeling including attacks, evaluation, evolution, and control. Moreover, several challenges are identified while providing possible future research directions. The findings and discussions of this study could be helpful to researchers and professionals in the field of CIS resilience modeling especially when leveraging multiplex networks.

Keywords: Critical infrastructures; Disaster resilience; Multiplex networks; Network of networks; Critical review (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:250:y:2024:i:c:s0951832024003727

DOI: 10.1016/j.ress.2024.110300

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