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Application of evidential networks in quantitative analysis of railway accidents

Author

Listed:
  • Felipe Aguirre
  • Mohamed Sallak
  • Walter Schön
  • Fabien Belmonte

Abstract

Currently, a high percentage of accidents in railway systems are accounted to human factors. As a consequence, safety engineers try to take into account this factor in risk assessment. However, human reliability data are very difficult to quantify, thus, qualitative methods are often used in railway system’s risk assessments. Modeling of human errors through probabilistic approaches has shown some limitation concerning the quantification of qualitative aspects of human factors. The proposed article presents an original method to account for the human factor by using evidential networks and fault tree analysis.

Suggested Citation

  • Felipe Aguirre & Mohamed Sallak & Walter Schön & Fabien Belmonte, 2013. "Application of evidential networks in quantitative analysis of railway accidents," Journal of Risk and Reliability, , vol. 227(4), pages 368-384, August.
  • Handle: RePEc:sae:risrel:v:227:y:2013:i:4:p:368-384
    DOI: 10.1177/1748006X12475044
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    References listed on IDEAS

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    1. Belmonte, Fabien & Schön, Walter & Heurley, Laurent & Capel, Robert, 2011. "Interdisciplinary safety analysis of complex socio-technological systems based on the functional resonance accident model: An application to railway trafficsupervision," Reliability Engineering and System Safety, Elsevier, vol. 96(2), pages 237-249.
    2. Kim, Dong San & Baek, Dong Hyun & Yoon, Wan Chul, 2010. "Development and evaluation of a computer-aided system for analyzing human error in railway operations," Reliability Engineering and System Safety, Elsevier, vol. 95(2), pages 87-98.
    3. Aven, T., 2011. "Interpretations of alternative uncertainty representations in a reliability and risk analysis context," Reliability Engineering and System Safety, Elsevier, vol. 96(3), pages 353-360.
    4. Aven, T. & Nøkland, T.E., 2010. "On the use of uncertainty importance measures in reliability and risk analysis," Reliability Engineering and System Safety, Elsevier, vol. 95(2), pages 127-133.
    5. Simon, C. & Weber, P. & Evsukoff, A., 2008. "Bayesian networks inference algorithm to implement Dempster Shafer theory in reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 93(7), pages 950-963.
    6. Stanley Kaplan & B. John Garrick, 1981. "On The Quantitative Definition of Risk," Risk Analysis, John Wiley & Sons, vol. 1(1), pages 11-27, March.
    7. Konstandinidou, Myrto & Nivolianitou, Zoe & Kiranoudis, Chris & Markatos, Nikolaos, 2006. "A fuzzy modeling application of CREAM methodology for human reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 91(6), pages 706-716.
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