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M. Gonzva^1,2, B. Barroca², P.-A. Zitt³, P.-E. Gautier¹ and Y. Diab^2,4

¹Innovation Department, SYSTRA, Paris, France
²Lab'Urba Laboratory, Paris-Est Marne-la-Vallée University, Champs-sur-Marne, France
³Analysis and Applied Mathematics Laboratory, Paris-Est Marne-la-Vallée University, Champs-sur-Marne, France
⁴School of Engineering of the City of Paris, France

doi:10.4203/ccp.110.212

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M. Gonzva, B. Barroca, P.-A. Zitt, P.-E. Gautier, Y. Diab, "Improving the Resilience of Guided Transport Systems for Natural Risks", in J. Pombo, (Editor), "Proceedings of the Third International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Stirlingshire, UK, Paper 212, 2016. doi:10.4203/ccp.110.212

Keywords: rail transport system, resilience, flood hazard, dependability methods, cascading effect, Bayesian probabilistic networks.

Summary

This paper provides the construction of a qualitative and systemic methodology to assess the resilience of rail transport systems against natural hazards. To illustrate the capabilities of the methodology, it is applied for the flood hazard. The resilience of rail transport systems is analysed through the failure mechanisms to which they are subjected under flood conditions. These mechanisms lead to numerous, complex failure scenarios and modelling these scenarios enables the identification the components in the system that are successively damaged as a result of a disruption. The first part presents the construction of the methodology. The second part proposes a perspective of the methodology by shifting from a qualitative to a quantitative approach by using a probabilistic framework based on Bayesian networks. The choice of Bayesian networks, the construction of the quantitative model and its capabilities are demonstrated.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 110 PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE Edited by: J. Pombo Paper 212 Improving the Resilience of Guided Transport Systems for Natural Risks M. Gonzva^1,2, B. Barroca², P.-A. Zitt³, P.-E. Gautier¹ and Y. Diab^2,4 ¹Innovation Department, SYSTRA, Paris, France ²Lab'Urba Laboratory, Paris-Est Marne-la-Vallée University, Champs-sur-Marne, France ³Analysis and Applied Mathematics Laboratory, Paris-Est Marne-la-Vallée University, Champs-sur-Marne, France ⁴School of Engineering of the City of Paris, France doi:10.4203/ccp.110.212 purchase the full-text of this paper Full Bibliographic Reference for this paper M. Gonzva, B. Barroca, P.-A. Zitt, P.-E. Gautier, Y. Diab, "Improving the Resilience of Guided Transport Systems for Natural Risks", in J. Pombo, (Editor), "Proceedings of the Third International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Stirlingshire, UK, Paper 212, 2016. doi:10.4203/ccp.110.212 Keywords: rail transport system, resilience, flood hazard, dependability methods, cascading effect, Bayesian probabilistic networks. Summary This paper provides the construction of a qualitative and systemic methodology to assess the resilience of rail transport systems against natural hazards. To illustrate the capabilities of the methodology, it is applied for the flood hazard. The resilience of rail transport systems is analysed through the failure mechanisms to which they are subjected under flood conditions. These mechanisms lead to numerous, complex failure scenarios and modelling these scenarios enables the identification the components in the system that are successively damaged as a result of a disruption. The first part presents the construction of the methodology. The second part proposes a perspective of the methodology by shifting from a qualitative to a quantitative approach by using a probabilistic framework based on Bayesian networks. The choice of Bayesian networks, the construction of the quantitative model and its capabilities are demonstrated. purchase the full-text of this paper (price £22) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £85 +P&P)
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