Risk Assessment of Rail Transit Equipment Failure Disaster Chain Based on the Complex Network

Xingyu Chang (), Liudan Jiao (), Xiaosen Huo () and Yu Zhang
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Xingyu Chang: Chongqing Jiaotong University
Liudan Jiao: Chongqing Jiaotong University
Xiaosen Huo: Chongqing Jiaotong University
Yu Zhang: Chongqing Jiaotong University

A chapter in Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate, 2023, pp 786-800 from Springer

Abstract: Abstract As urban rail transit disasters present network transmission characteristics, it is imperative to identify the transmission mode and key nodes between disasters to prevent and control urban rail transit system risks. However, the failure of urban rail transit equipment, as the most common and most types of failure disaster events during the operation of urban rail transit, has not been deeply studied and analyzed. Therefore, this paper uses the inductive analysis method and the catastrophe chain transmission theory to construct the evolution of the rail transit equipment failure disaster chain Model and complex network of rail transit equipment failure disaster transmission evolution. Based on complex network theory, collect and summarize various urban rail transit accidents related to equipment failures at home and abroad in recent years, study the chain transmission law of rail transit equipment failure events, and use various related indicators to determine the importance of network nodes. The vulnerability of the edge and the edge are comprehensively analyzed, and the risk value of each rail transit equipment failure disaster chain is obtained. Through quantitative analysis, the risk assessment of rail transit equipment failure disaster chain provides a basis for rail transit operation safety assurance and disaster prevention and control.

Keywords: equipment failure; disaster chain; complex network; node importance; edge vulnerability; risk assessment (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/978-981-99-3626-7_61

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