Title

Vulnerability Analysis of Critical Infrastructure underDisruptions: an Application to China RailwayHigh-Speed Acknowledgement

Date of Publication

2020 12:00 AM

Security Theme

Critical Infrastructure

Keywords

PRC, People's Republic of China, China, public transportation systems sector, critical infrastructure, railways, transportation, railroads, trains, high-speed railways, natural disasters, vulnerability, climate change, transport infrasctructures, analytical framework, analysis

Description

Considerable attention has been paid to the vulnerability of critical infrastructures, because of the increasing occurrence of disruptive events, such as man-made or natural disasters. Even small disruptions could eventually affect the normal function of infrastructure systems. Enhancing the reliability of these systems and their robustness to disruptions is necessary and urgent. High-speed rail is a critical infrastructure that is subject to various disruptions, including component aging, malicious attacks, natural disasters, demand surges. In this study, we analyze the topological centrality indicators of China Railway High-speed (CRH) network using network theory, and take real train flow information for assessing the importance of network components in terms of vulnerability to disruption. By Monte Carlo simulation, we analyze the risk of the CRH network under random attacks and spatially localized failures. The significance of taking pre-actions for protecting critical infrastructures by mitigating its vulnerability to disruptions is emphasized.

Comments

Originally published by SAGE journals

Share

 
COinS
 
Jan 1st, 12:00 AM

Vulnerability Analysis of Critical Infrastructure underDisruptions: an Application to China RailwayHigh-Speed Acknowledgement

Considerable attention has been paid to the vulnerability of critical infrastructures, because of the increasing occurrence of disruptive events, such as man-made or natural disasters. Even small disruptions could eventually affect the normal function of infrastructure systems. Enhancing the reliability of these systems and their robustness to disruptions is necessary and urgent. High-speed rail is a critical infrastructure that is subject to various disruptions, including component aging, malicious attacks, natural disasters, demand surges. In this study, we analyze the topological centrality indicators of China Railway High-speed (CRH) network using network theory, and take real train flow information for assessing the importance of network components in terms of vulnerability to disruption. By Monte Carlo simulation, we analyze the risk of the CRH network under random attacks and spatially localized failures. The significance of taking pre-actions for protecting critical infrastructures by mitigating its vulnerability to disruptions is emphasized.