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

doi:10.1088/1674-1056/23/2/028904

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.

Keywords: railway accident complex network accident network model

Received: 16 April 2013
Revised: 19 June 2013
Accepted manuscript online:

PACS:	89.75.Hc	(Networks and genealogical trees)
	45.80.+r	(Control of mechanical systems)
	05.70.Fh	(Phase transitions: general studies)
	02.30.Yy	(Control theory)

Fund: 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), and the Research Foundation of State Key Laboratory of Rail Traffic Control and Safety, China (Grant No. RCS2012ZQ001).

Corresponding Authors: Ma Xin
E-mail: 12120896@bjtu.edu.cn

About author: 89.75.Hc; 45.80.+r; 05.70.Fh; 02.30.Yy

Cite this article:

Ma Xin (马欣), Li Ke-Ping (李克平), Luo Zi-Yan (罗自炎), Zhou Jin (周进) Analyzing the causation of a railway accident based on a complex network 2014 Chin. Phys. B 23 028904

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