Topological Modeling and Analysis of Urban Rail Transit Safety Risk Relationship
Journal Title: Journal of Intelligent Management Decision - Year 2022, Vol 1, Issue 2
Abstract
Risk monitoring and risk prediction are of great significance to improve the safety of urban rail operation. Existing studies often analyze the topological characteristics of accident networks from the perspective of network theory, in order to point out the role of specific influencing factors in urban rail accidents. This article proposes a risk analysis method of urban rail operation accidents, which takes risk factors, risk points and risk events as nodes to form a network, and combines the interaction between risk points to evaluate the safety of the whole system. The existing system safety analysis methods all build models based on the accidents that have occurred. Based on the analysis of the existing urban rail transit infrastructure and operating environment, this article puts forward the risk factors and risk points that may cause risk events, and combines the mechanical connection, electrical connection and signal connection among risk points to deeply explore the interaction between risks so as to find the key risk points that cause accidents and evaluate the safety of the whole system. The results show that the proposed risk analysis method can provide effective theoretical support for risk monitoring.
Authors and Affiliations
Man Li, Xinyi Zhou, Jinxin Liu, Weikai Ma, Xiwei Li
Keywords
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- EP ID EP752343
- DOI https://doi.org/10.56578/jimd010204
- Views 8
- Downloads 0
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