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Vulnerability assessment and mitigation for the Chinese railway system under floods

Author

Listed:
  • Hong, Liu
  • Ouyang, Min
  • Peeta, Srinivas
  • He, Xiaozheng
  • Yan, Yongze

Abstract

The economy of China and the travel needs of its citizens depend significantly on the continuous and reliable services provided by its railway system. However, this system is subject to frequent natural hazards, such as floods, earthquakes, and debris flow. A mechanism to assess the railway system vulnerability under these hazards and the design of effective vulnerability mitigation strategies are essential to the reliable functioning of the railway system. This article proposes a comprehensive methodology to quantitatively assess the railway system vulnerability under floods using historical data and GIS technology. The proposed methodology includes a network representation of the railway system, the generation of flood event scenarios, a method to estimate railway link vulnerability, and a quantitative vulnerability value computation approach. The railway system vulnerability is evaluated in terms of its service disruption related to the number of interrupted trains and the durations of interruption. A maintenance strategy to mitigate vulnerability is proposed that simultaneously considers link vulnerability and number of trains using it. Numerical experiments show that the flood-induced vulnerability of the proposed representation of the Chinese railway system reaches its maximum monthly value in July, and the proposed vulnerability mitigation strategy is more effective compared to other strategies.

Suggested Citation

  • Hong, Liu & Ouyang, Min & Peeta, Srinivas & He, Xiaozheng & Yan, Yongze, 2015. "Vulnerability assessment and mitigation for the Chinese railway system under floods," Reliability Engineering and System Safety, Elsevier, vol. 137(C), pages 58-68.
    • Handle: RePEc:eee:reensy:v:137:y:2015:i:c:p:58-68
    DOI: 10.1016/j.ress.2014.12.013
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    as
    1. Derrible, Sybil & Kennedy, Christopher, 2010. "The complexity and robustness of metro networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(17), pages 3678-3691.
    2. Patterson, S.A. & Apostolakis, G.E., 2007. "Identification of critical locations across multiple infrastructures for terrorist actions," Reliability Engineering and System Safety, Elsevier, vol. 92(9), pages 1183-1203.
    3. Sohn, Jungyul, 2006. "Evaluating the significance of highway network links under the flood damage: An accessibility approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(6), pages 491-506, July.
    4. Wang, Ru & Tan, Jiang-Xia & Wang, Xin & Wang, Du-Juan & Cai, Xu, 2008. "Geographic coarse graining analysis of the railway network of China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(22), pages 5639-5646.
    5. Ramirez-Marquez, Jose E. & Rocco, Claudio M. & Levitin, Gregory, 2011. "Optimal network protection against diverse interdictor strategies," Reliability Engineering and System Safety, Elsevier, vol. 96(3), pages 374-382.
    6. Roanes-Lozano, Eugenio & Laita, Luis M. & Roanes-Macías, Eugenio & Wester, Michael J. & Ruiz-Lozano, José Luis & Roncero, Carlos, 2009. "Evolution of railway network flexibility: The Spanish broad gauge case," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(8), pages 2317-2332.
    7. Macchi, Marco & Garetti, Marco & Centrone, Domenico & Fumagalli, Luca & Piero Pavirani, Gian, 2012. "Maintenance management of railway infrastructures based on reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 104(C), pages 71-83.
    8. Jenelius, Erik & Mattsson, Lars-Göran, 2012. "Road network vulnerability analysis of area-covering disruptions: A grid-based approach with case study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(5), pages 746-760.
    9. Chang, Stephanie E. & Nojima, Nobuoto, 2001. "Measuring post-disaster transportation system performance: the 1995 Kobe earthquake in comparative perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(6), pages 475-494, July.
    10. Zhang, Jianhua & Xu, Xiaoming & Hong, Liu & Wang, Shuliang & Fei, Qi, 2011. "Networked analysis of the Shanghai subway network, in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(23), pages 4562-4570.
    11. Burak Cavdaroglu & Erik Hammel & John Mitchell & Thomas Sharkey & William Wallace, 2013. "Integrating restoration and scheduling decisions for disrupted interdependent infrastructure systems," Annals of Operations Research, Springer, vol. 203(1), pages 279-294, March.
    12. Nicholas Santella & Laura J. Steinberg & Kyle Parks, 2009. "Decision Making for Extreme Events: Modeling Critical Infrastructure Interdependencies to Aid Mitigation and Response Planning," Review of Policy Research, Policy Studies Organization, vol. 26(4), pages 409-422, July.
    13. Adachi, Takao & Ellingwood, Bruce R., 2008. "Serviceability of earthquake-damaged water systems: Effects of electrical power availability and power backup systems on system vulnerability," Reliability Engineering and System Safety, Elsevier, vol. 93(1), pages 78-88.
    14. Ouyang, Min & Dueñas-Osorio, Leonardo, 2011. "An approach to design interface topologies across interdependent urban infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 96(11), pages 1462-1473.
    15. Zio, E. & Ferrario, E., 2013. "A framework for the system-of-systems analysis of the risk for a safety-critical plant exposed to external events," Reliability Engineering and System Safety, Elsevier, vol. 114(C), pages 114-125.
    16. Ouyang, Min & Zhao, Lijing & Hong, Liu & Pan, Zhezhe, 2014. "Comparisons of complex network based models and real train flow model to analyze Chinese railway vulnerability," Reliability Engineering and System Safety, Elsevier, vol. 123(C), pages 38-46.
    17. Ouyang, Min, 2014. "Review on modeling and simulation of interdependent critical infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 43-60.
    18. T. Rigole & K. Vanthournout & K. De Brabandere & G. Deconinck, 2008. "Agents controlling the electric power infrastructure," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 4(1/2), pages 96-109.
    19. Bompard, E. & Napoli, R. & Xue, F., 2009. "Assessment of information impacts in power system security against malicious attacks in a general framework," Reliability Engineering and System Safety, Elsevier, vol. 94(6), pages 1087-1094.
    20. Kaegi, M. & Mock, R. & Kröger, W., 2009. "Analyzing maintenance strategies by agent-based simulations: A feasibility study," Reliability Engineering and System Safety, Elsevier, vol. 94(9), pages 1416-1421.
    21. Long Guo & Xu Cai, 2008. "Degree And Weighted Properties Of The Directed China Railway Network," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 19(12), pages 1909-1918.
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