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

Risk Anal. 2019 Jan;39(1):180-194. doi: 10.1111/risa.12708. Epub 2017 Jan 17.

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.

Keywords: Chinese railway system; critical infrastructures; spatially localized failures; vulnerability.

Publication types

  • Research Support, Non-U.S. Gov't