Abstract
Subway system is associated with a high level of uncertainty because it usually operates in a dynamic environment in which technical and human and organizational malfunctions may cause possible accidents. This paper proposed a Bayesian network approach to model causal relationships among risk factors. This model explicitly represented cause and effect assumptions between variables. The method allows for multiple forms of information to be used to quantify model relationships, including formally assessed expert opinions whe quantitative data are lacking. This makes the risk and safety analysis of subway systems more functional and easier. A case study of the fire risk due to human errors during operation was used to illustrate the application of the proposed model.
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References
FTA (2005) Transit Safety and Security Statistics and Analysis 2003 Annual Report (Formerly SAMIS)
M Neil, N Fenton, S Forey et al. (2001) Using Bayesian belief networks to predict the reliability of military vehicles. Comput Contr Eng J 12:11–20
W Marsh (2004) Using Bayesian Networks to Model Accident Causation in the UK Railway Industry. http://www.eecs.qmul.ac.uk/~william/PSAM7/accident_causation_PSAM7.pdf.Accessed. 4 June 2008
L Norrington, J Quigley, A Russell et al. (2008) Modelling the reliability of search and rescue operations with Bayesian Belief Networks. Reliab Eng Syst Saf 93:940–949
MC Kim, PH Seong (2006) An analytic model for situation assessment of nuclear power plant operators based on Bayesian inference. Reliab Eng Syst Saf 91:270–282
JT Luxhøj (2003) Probabilistic Causal Analysis for System Safety Risk Assessments in Commercial Air Transport. Proceedings of the Workshop on Investigating and Reporting of Incidents and Accidents, Williamsburg:16–19, Hampton NASA:17–38
International Maritime Organization (2006) Formal Safety Assessment. Consideration on utilization of Bayesian network at step 3 of FSA. Maritime Safety Committee 81st Session. IMO, London
Acknowledgments
This research was supported by National Natural Science Foundation of China (50878049) and Postgraduates’ Science and Innovation Foundation of Jiangsu Province.
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© 2011 Springer-Verlag Berlin Heidelberg
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Lu, Y., Li, Q., Hinze, J. (2011). Subway System Safety Risk Analysis Based on Bayesian Network. In: Wu, D. (eds) Modeling Risk Management in Sustainable Construction. Computational Risk Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15243-6_25
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DOI: https://doi.org/10.1007/978-3-642-15243-6_25
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