IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v10y2019i1d10.1038_s41467-019-10063-w.html
   My bibliography  Save this article

Local floods induce large-scale abrupt failures of road networks

Author

Listed:
  • Weiping Wang

    (Beijing Normal University
    Ministry of Education
    Beijing Normal University
    Boston University)

  • Saini Yang

    (Beijing Normal University
    Ministry of Education
    Beijing Normal University)

  • H. Eugene Stanley

    (Boston University)

  • Jianxi Gao

    (Rensselaer Polytechnic Institute
    Rensselaer Polytechnic Institute)

Abstract

The adverse effect of climate change continues to expand, and the risks of flooding are increasing. Despite advances in network science and risk analysis, we lack a systematic mathematical framework for road network percolation under the disturbance of flooding. The difficulty is rooted in the unique three-dimensional nature of a flood, where altitude plays a critical role as the third dimension, and the current network-based framework is unsuitable for it. Here we develop a failure model to study the effect of floods on road networks; the result covers 90.6% of road closures and 94.1% of flooded streets resulting from Hurricane Harvey. We study the effects of floods on road networks in China and the United States, showing a discontinuous phase transition, indicating that a small local disturbance may lead to a large-scale systematic malfunction of the entire road network at a critical point. Our integrated approach opens avenues for understanding the resilience of critical infrastructure networks against floods.

Suggested Citation

  • Weiping Wang & Saini Yang & H. Eugene Stanley & Jianxi Gao, 2019. "Local floods induce large-scale abrupt failures of road networks," Nature Communications, Nature, vol. 10(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-10063-w
    DOI: 10.1038/s41467-019-10063-w
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-019-10063-w
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-019-10063-w?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
    ---><---

    Citations

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


    Cited by:

    1. He,Yiyi & Maruyama Rentschler,Jun Erik & Avner,Paolo & Gao,Jianxi & Yue,Xiangyu & Radke,John, 2022. "Mobility and Resilience : A Global Assessment of Flood Impacts on Road Transportation Networks," Policy Research Working Paper Series 10049, The World Bank.
    2. Ming Zhong & Hongrui Zhang & Tao Jiang & Jun Guo & Jinxin Zhu & Dagang Wang & Xiaohong Chen, 2023. "A Hybrid Model Combining the Cama-Flood Model and Deep Learning Methods for Streamflow Prediction," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(12), pages 4841-4859, September.
    3. Liang Jia & Saini Yang & Weiping Wang & Xinlong Zhang, 2022. "Impact analysis of highways in China under future extreme precipitation," 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. 110(2), pages 1097-1113, January.
    4. Hengfang Deng & Daniel P. Aldrich & Michael M. Danziger & Jianxi Gao & Nolan E. Phillips & Sean P. Cornelius & Qi Ryan Wang, 2021. "High-resolution human mobility data reveal race and wealth disparities in disaster evacuation patterns," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-8, December.
    5. Gangwal, Utkarsh & Dong, Shangjia, 2022. "Critical facility accessibility rapid failure early-warning detection and redundancy mapping in urban flooding," Reliability Engineering and System Safety, Elsevier, vol. 224(C).
    6. Weibin Lin & Yimin Sun & Steffen Nijhuis, 2024. "Comparison of Compact and Decentralized Urban Development Pathways for Flood Mitigation in Urbanizing Deltas—Guangzhou in the Pearl River Delta as a Case Study," Land, MDPI, vol. 13(3), pages 1-22, March.
    7. Navin Bhatta & Shakhawat H. Tanim & Pamela Murray-Tuite, 2024. "Dynamics of Link Importance through Normal Conditions, Flood Response, and Recovery," Sustainability, MDPI, vol. 16(2), pages 1-35, January.
    8. Yin, Kai & Wu, Jianjun & Wang, Weiping & Lee, Der-Horng & Wei, Yun, 2023. "An integrated resilience assessment model of urban transportation network: A case study of 40 cities in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    9. Yilun Shang, 2020. "Multi-Hop Generalized Core Percolation On Complex Networks," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 23(01), pages 1-15, March.
    10. Jie Liu & Jingrong Zhu & Di Lu & Donghui Yuan & Hossein Azadi, 2023. "The Effectiveness of Improvement Measures in Road Transport Network Resilience: A Systematic Review and Meta-Analysis," Sustainability, MDPI, vol. 15(13), pages 1-17, July.
    11. Dong, Shangjia & Gao, Xinyu & Mostafavi, Ali & Gao, Jianxi & Gangwal, Utkarsh, 2023. "Characterizing resilience of flood-disrupted dynamic transportation network through the lens of link reliability and stability," Reliability Engineering and System Safety, Elsevier, vol. 232(C).
    12. Ma, Lijia & Zhang, Xiao & Mao, Fubing & Cai, Shubin & Lin, Qiuzhen & Chen, Jianyong & Wang, Shanfeng, 2020. "Mitigation of malicious attacks on structural balance of signed networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 548(C).
    13. Gururaghav Raman & Gurupraanesh Raman & Jimmy Chih-Hsien Peng, 2022. "Resilience of urban public electric vehicle charging infrastructure to flooding," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    14. Ashish Kumar & Anindya S. Chakrabarti & Anirban Chakraborti & Tushar Nandi, 2020. "Distress propagation on production networks: Coarse-graining and modularity of linkages," Papers 2004.14485, arXiv.org.
    15. Farahmand, Hamed & Liu, Xueming & Dong, Shangjia & Mostafavi, Ali & Gao, Jianxi, 2022. "A Network Observability Framework for Sensor Placement in Flood Control Networks to Improve Flood Situational Awareness and Risk Management," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    16. Yin, Haofei & Zhang, Aobo & Zeng, An, 2023. "Identifying hidden target nodes for spreading in complex networks," Chaos, Solitons & Fractals, Elsevier, vol. 168(C).
    17. Shaolei Wu & Jianing Wu & Di Lu & Hossein Azadi & Jie Liu, 2024. "A Coupling Model for Measuring the Substitution of Subways for Buses during Snowstorms: A Case Study of Shenyang, China," Sustainability, MDPI, vol. 16(4), pages 1-19, February.
    18. Shengnan Wu & Yu Lei & Wen Jin, 2022. "An Interdisciplinary Approach to Quantify the Human Disaster Risk Perception and Its Influence on the Population at Risk: A Case Study of Longchi Town, China," IJERPH, MDPI, vol. 19(24), pages 1-15, December.

    More about this item

    Statistics

    Access and download statistics

    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:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-10063-w. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.nature.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.