IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v86y2017i1d10.1007_s11069-016-2680-7.html
   My bibliography  Save this article

Modeling disruptions causing domino effects in urban guided transport systems faced by flood hazards

Author

Listed:
  • Michaël Gonzva

    (SYSTRA and Paris-Est Marne-la-Vallée University (Lab’Urba Laboratory))

  • Bruno Barroca

    (Paris-Est Marne-la-Vallée University (Lab’Urba Laboratory))

  • Pierre-Étienne Gautier

    (Paris-Est Marne-la-Vallée University (Lab’Urba Laboratory))

  • Youssef Diab

    (SYSTRA Vice-President of Innovation)

Abstract

Flood risks are the most frequent natural risks in the world. Their consequences are particularly serious when they affect technical systems in urban areas. Experience feedbacks on guided transport systems show that they are urban technical systems that are particularly vulnerable to this type of natural risk. The resilience concept is used in a systemic approach for making an accurate analysis of this type of natural risk. The purpose of this article is to provide an analysis of guided transport systems’ resilience in the face of flood risks via a study of the failure mechanisms to which component elements of these systems are subjected. By using methods resulting from operational safety concepts and designing a computer tool, all the failure scenarios for components can be produced, together with their domino effects. In this way, our work provides a methodology for characterizing guided transport systems’ vulnerability in the face of natural risks and for comparing this vulnerability depending on whether the system is in an underground, ground-level or overground configuration.

Suggested Citation

  • Michaël Gonzva & Bruno Barroca & Pierre-Étienne Gautier & Youssef Diab, 2017. "Modeling disruptions causing domino effects in urban guided transport systems faced by flood hazards," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 86(1), pages 183-201, March.
    • Handle: RePEc:spr:nathaz:v:86:y:2017:i:1:d:10.1007_s11069-016-2680-7
    DOI: 10.1007/s11069-016-2680-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-016-2680-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11069-016-2680-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. J. Birkmann & O. Cardona & M. Carreño & A. Barbat & M. Pelling & S. Schneiderbauer & S. Kienberger & M. Keiler & D. Alexander & P. Zeil & T. Welle, 2013. "Framing vulnerability, risk and societal responses: the MOVE framework," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 67(2), pages 193-211, June.
    2. Francis, Royce & Bekera, Behailu, 2014. "A metric and frameworks for resilience analysis of engineered and infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 90-103.
    3. Sergey V. Buldyrev & Roni Parshani & Gerald Paul & H. Eugene Stanley & Shlomo Havlin, 2010. "Catastrophic cascade of failures in interdependent networks," Nature, Nature, vol. 464(7291), pages 1025-1028, April.
    4. Rae Zimmerman & Carlos E. Restrepo, 2006. "The next step: quantifying infrastructure interdependencies to improve security," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 2(2/3), pages 215-230.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hong, Wei-Ting & Clifton, Geoffrey & Nelson, John D., 2024. "A data-driven conceptual framework for understanding the nature of hazards in railway accidents," Transport Policy, Elsevier, vol. 152(C), pages 102-117.
    2. Edwar Forero-Ortiz & Eduardo Martínez-Gomariz, 2020. "Hazards threatening underground transport systems," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 100(3), pages 1243-1261, February.
    3. Hong, Wei-Ting & Clifton, Geoffrey & Nelson, John D., 2022. "Rail transport system vulnerability analysis and policy implementation: Past progress and future directions," Transport Policy, Elsevier, vol. 128(C), pages 299-308.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yifan Yang & S. Thomas Ng & Frank J. Xu & Martin Skitmore & Shenghua Zhou, 2019. "Towards Resilient Civil Infrastructure Asset Management: An Information Elicitation and Analytical Framework," Sustainability, MDPI, vol. 11(16), pages 1-24, August.
    2. Liu, Xing & Fang, Yi-Ping & Zio, Enrico, 2021. "A Hierarchical Resilience Enhancement Framework for Interdependent Critical Infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    3. Liu, Wei & Song, Zhaoyang, 2020. "Review of studies on the resilience of urban critical infrastructure networks," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    4. Wang, Jing & Zuo, Wangda & Rhode-Barbarigos, Landolf & Lu, Xing & Wang, Jianhui & Lin, Yanling, 2019. "Literature review on modeling and simulation of energy infrastructures from a resilience perspective," Reliability Engineering and System Safety, Elsevier, vol. 183(C), pages 360-373.
    5. David J. Yu & Michael L. Schoon & Jason K. Hawes & Seungyoon Lee & Jeryang Park & P. Suresh C. Rao & Laura K. Siebeneck & Satish V. Ukkusuri, 2020. "Toward General Principles for Resilience Engineering," Risk Analysis, John Wiley & Sons, vol. 40(8), pages 1509-1537, August.
    6. Payuna Uday & Karen Marais, 2015. "Designing Resilient Systems‐of‐Systems: A Survey of Metrics, Methods, and Challenges," Systems Engineering, John Wiley & Sons, vol. 18(5), pages 491-510, October.
    7. Zhang, Yanlu & Yang, Naiding, 2018. "Vulnerability analysis of interdependent R&D networks under risk cascading propagation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 1056-1068.
    8. Williams, James Bryan, 2021. "Critical flow centrality measures on interdependent networks with time-varying demands," International Journal of Critical Infrastructure Protection, Elsevier, vol. 35(C).
    9. Adrian J. Hickford & Simon P. Blainey & Alejandro Ortega Hortelano & Raghav Pant, 2018. "Resilience engineering: theory and practice in interdependent infrastructure systems," Environment Systems and Decisions, Springer, vol. 38(3), pages 278-291, September.
    10. Nan, Cen & Sansavini, Giovanni, 2017. "A quantitative method for assessing resilience of interdependent infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 157(C), pages 35-53.
    11. Ahmadi, Somayeh & Saboohi, Yadollah & Vakili, Ali, 2021. "Frameworks, quantitative indicators, characters, and modeling approaches to analysis of energy system resilience: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    12. Stergiopoulos, George & Kotzanikolaou, Panayiotis & Theocharidou, Marianthi & Lykou, Georgia & Gritzalis, Dimitris, 2016. "Time-based critical infrastructure dependency analysis for large-scale and cross-sectoral failures," International Journal of Critical Infrastructure Protection, Elsevier, vol. 12(C), pages 46-60.
    13. Samiul Hasan & Greg Foliente, 2015. "Modeling infrastructure system interdependencies and socioeconomic impacts of failure in extreme events: emerging R&D challenges," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 78(3), pages 2143-2168, September.
    14. Wang, Chengjiang & Wang, Li & Wang, Juan & Sun, Shiwen & Xia, Chengyi, 2017. "Inferring the reputation enhances the cooperation in the public goods game on interdependent lattices," Applied Mathematics and Computation, Elsevier, vol. 293(C), pages 18-29.
    15. Shen, Lijuan & Cassottana, Beatrice & Tang, Loon Ching, 2018. "Statistical trend tests for resilience of power systems," Reliability Engineering and System Safety, Elsevier, vol. 177(C), pages 138-147.
    16. Tang, Liang & Jing, Ke & He, Jie & Stanley, H. Eugene, 2016. "Robustness of assembly supply chain networks by considering risk propagation and cascading failure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 459(C), pages 129-139.
    17. Fauzan Hanif Jufri & Jun-Sung Kim & Jaesung Jung, 2017. "Analysis of Determinants of the Impact and the Grid Capability to Evaluate and Improve Grid Resilience from Extreme Weather Event," Energies, MDPI, vol. 10(11), pages 1-17, November.
    18. Shogo Mizutaka & Kousuke Yakubo, 2017. "Structural instability of large-scale functional networks," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-11, July.
    19. Balint, T. & Lamperti, F. & Mandel, A. & Napoletano, M. & Roventini, A. & Sapio, A., 2017. "Complexity and the Economics of Climate Change: A Survey and a Look Forward," Ecological Economics, Elsevier, vol. 138(C), pages 252-265.
    20. Yang, Bofan & Zhang, Lin & Zhang, Bo & Xiang, Yang & An, Lei & Wang, Wenfeng, 2022. "Complex equipment system resilience: Composition, measurement and element analysis," Reliability Engineering and System Safety, Elsevier, vol. 228(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:nathaz:v:86:y:2017:i:1:d:10.1007_s11069-016-2680-7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.