Analyzing the causation of a railway accident based on a complex network  

作　　者：马欣 李克平 罗自炎 周进 

机构地区：[1]State Key Laboratory of Rail Traffic Control and Safety,Beijing Jiaotong University

出　　处：《Chinese Physics B》2014年第2期644-650,共7页中国物理B（英文版）

基　　金：Project supported by the National High Technology Research and Development Program of China (Grant No.2011AA110502);the National Natural Science Foundation of China (Grant No.71271022);the Research Foundation of State Key Laboratory of Rail Traffic Control and Safety,China (Grant No.RCS2012ZQ001)

摘　　要：In this paper, a new model is constructed for the causation analysis of railway accident based on the complex network theory. In the model, the nodes are defined as various manifest or latent accident causal factors. By employing the complex network theory, especially its statistical indicators, the railway accident as well as its key causations can be analyzed from the overall perspective. As a case, the ＂7.23＂ China-Yongwen railway accident is illustrated based on this model. The results show that the inspection of signals and the checking of line conditions before trains run played an important role in this railway accident. In conclusion, the constructed model gives a theoretical clue for railway accident prediction and, hence, greatly reduces the occurrence of railway accidents.In this paper, a new model is constructed for the causation analysis of railway accident based on the complex network theory. In the model, the nodes are defined as various manifest or latent accident causal factors. By employing the complex network theory, especially its statistical indicators, the railway accident as well as its key causations can be analyzed from the overall perspective. As a case, the ＂7.23＂ China-Yongwen railway accident is illustrated based on this model. The results show that the inspection of signals and the checking of line conditions before trains run played an important role in this railway accident. In conclusion, the constructed model gives a theoretical clue for railway accident prediction and, hence, greatly reduces the occurrence of railway accidents.

关 键 词：railway accident complex network accident network model 

分 类 号：U298[交通运输工程—交通运输规划与管理]