Proceedings of the 2016 5th International Conference on Civil, Architectural and Hydraulic Engineering (ICCAHE 2016)

Risk analysis of railway system based on the community detection

Authors
S.S. Wang, K.P. Li, F.B. Shao
Corresponding Author
S.S. Wang
Available Online October 2016.
DOI
10.2991/iccahe-16.2016.131How to use a DOI?
Keywords
railway accident; complex network; community detection; risk quantification
Abstract

Railway safety is an important issue of transportation system. In this paper, a network model is proposed for the risk analysis of railway system combined with the Fast Newman community detection algorithm. In the network model, nodes represent accident causation factors and links are generated if the two factors occur in one accident. Employing Fast Newman algorithm, the network is divided into communities. By defining occurrence possibility and consequence severity, the risk of accident is quantified. The rail equipment accident data from 2010 to 2014 is chosen for analyzing. The analyzing results show that the risk caused by the factor of switch improperly lined is the highest in the system and human factors play an important role in railway accident causation. The constructed model can quantify the risk, and hence, it gives methodological support for railway accident prevention.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 5th International Conference on Civil, Architectural and Hydraulic Engineering (ICCAHE 2016)
Series
Advances in Engineering Research
Publication Date
October 2016
ISBN
10.2991/iccahe-16.2016.131
ISSN
2352-5401
DOI
10.2991/iccahe-16.2016.131How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - S.S. Wang
AU  - K.P. Li
AU  - F.B. Shao
PY  - 2016/10
DA  - 2016/10
TI  - Risk analysis of railway system based on the community detection
BT  - Proceedings of the 2016 5th International Conference on Civil, Architectural and Hydraulic Engineering (ICCAHE 2016)
PB  - Atlantis Press
SP  - 835
EP  - 842
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccahe-16.2016.131
DO  - 10.2991/iccahe-16.2016.131
ID  - Wang2016/10
ER  -