Critical Infrastructure Vulnerability to Spatially Localized Failures with Applications to Chinese Railway System

Min Ouyang, Hui Tian, Zhenghua Wang, Liu Hong and Zijun Mao

Risk Analysis, 2019, vol. 39, issue 1, 180-194

Abstract: This article studies a general type of initiating events in critical infrastructures, called spatially localized failures (SLFs), which are defined as the failure of a set of infrastructure components distributed in a spatially localized area due to damage sustained, while other components outside the area do not directly fail. These failures can be regarded as a special type of intentional attack, such as bomb or explosive assault, or a generalized modeling of the impact of localized natural hazards on large‐scale systems. This article introduces three SLFs models: node centered SLFs, district‐based SLFs, and circle‐shaped SLFs, and proposes a SLFs‐induced vulnerability analysis method from three aspects: identification of critical locations, comparisons of infrastructure vulnerability to random failures, topologically localized failures and SLFs, and quantification of infrastructure information value. The proposed SLFs‐induced vulnerability analysis method is finally applied to the Chinese railway system and can be also easily adapted to analyze other critical infrastructures for valuable protection suggestions.

Date: 2019
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https://doi.org/10.1111/risa.12708

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Persistent link: https://EconPapers.repec.org/RePEc:wly:riskan:v:39:y:2019:i:1:p:180-194

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