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Promoting Metro Operation Safety by Exploring Metro Operation Accident Network

机译:通过探索地铁运营事故网络促进地铁运营安全

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摘要

Understanding the causation of accidents is essential to promote metro operation safety. In terms of 243 reported metro operation accident cases in China, a directed weighted network was constructed based on complex network theory, where nodes and directed edges denotes factors and event chains respectively. To reveal the key causal factors, the topological characteristics of metro operation accident network (MOAN) were analyzed from both global and local views. The results show that facility-type factors are more closely related to the occurrence of the accidents from the perspectives of average path length and cascading effects. Accident types like train delay and train suspension are the great risk recipients. Key causal factors with large out-degree, out-strength, betweenness centrality and cluster coefficient, such as communication and signal failure, vehicle failure and piling into the train should be noticed. The research framework proposed in the paper is not only applicable to China's metro operation system, but also appropriate for other transportation system safety studies.
机译:了解事故的因果关系对于促进地铁运营安全至关重要。在243篇报告的地铁运营事故案例中,基于复杂的网络理论构建了一条定向加权网络,其中节点和定向边缘分别表示因素和事件链。为了揭示关键因果因素,从全球和地方视图分析了地铁运营事故网络(MOAN)的拓扑特征。结果表明,从平均路径长度和级联效应的角度来看,设施型因素与事故发生更密切相关。火车延迟和火车悬架等事故类型是危险的危险。应注意,具有大型,超强,中心地位和集群系数的关键因果因素,如通信和信号故障,车辆故障和堆积入火车。本文提出的研究框架不仅适用于中国的地铁运营系统,而且适用于其他运输系统安全研究。

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