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

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...

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Published inChinese physics B Vol. 23; no. 2; pp. 28904 - 1-028904-7
Main Authors Ma, Xin, Li, Ke-Ping, Luo, Zi-Yan, Zhou, Jin
Format Journal Article
LanguageEnglish
Published 01.02.2014
Subjects
Accidents
Causation
Construction
Inspection
Mathematical models
Networks
Railway accidents
Trains
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Abstract 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.
AbstractList 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.
Author Zhou, Jin
Ma, Xin
Luo, Zi-Yan
Li, Ke-Ping
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Snippet 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...
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SubjectTerms Accidents
Causation
Construction
Inspection
Mathematical models
Networks
Railway accidents
Trains
Title Analyzing the causation of a railway accident based on a complex network
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