IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v97y2019i1d10.1007_s11069-019-03630-3.html
   My bibliography  Save this article

A physically based spatiotemporal method of analyzing flood impacts on urban road networks

Author

Listed:
  • Yi Li

    (Chinese Academy of Sciences
    Jiangxi Normal University
    Zhejiang-CAS Application Center for Geoinformatics)

  • Jianhua Gong

    (Chinese Academy of Sciences
    Zhejiang-CAS Application Center for Geoinformatics)

  • Lei Niu

    (Henan University of Urban Construction)

  • Jun Sun

    (Chinese Academy of Sciences
    Zhejiang-CAS Application Center for Geoinformatics)

Abstract

Flash flooding occurs when low-lying geographic areas are rapidly flooded and is mainly caused by heavy rains. Urban road networks are the primary structures affected by flood inundation, which causes disruption to transportation and reduces the efficiency of rescue services. This paper proposes a physically based spatiotemporal method of analyzing flood impacts on urban road networks that considers both the physical parameters of flooding and the susceptibility of the transportation network. The results indicate that the proposed method provides reasonable spatiotemporal and synthetic estimates of impacts to the road network of Austin, Texas, USA, under flash flooding.

Suggested Citation

  • Yi Li & Jianhua Gong & Lei Niu & Jun Sun, 2019. "A physically based spatiotemporal method of analyzing flood impacts on urban road networks," 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. 97(1), pages 121-137, May.
  • Handle: RePEc:spr:nathaz:v:97:y:2019:i:1:d:10.1007_s11069-019-03630-3
    DOI: 10.1007/s11069-019-03630-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-019-03630-3
    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/s11069-019-03630-3?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. Hector R. Lim & Ma. Bernadeth B. Lim & Mongkut Piantanakulchai, 2016. "Determinants of household flood evacuation mode choice in a developing country," 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. 84(1), pages 507-532, October.
    2. Galateia Terti & Isabelle Ruin & Sandrine Anquetin & Jonathan Gourley, 2015. "Dynamic vulnerability factors for impact-based flash flood prediction," 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. 79(3), pages 1481-1497, December.
    Full references (including those not matched with items on IDEAS)

    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. Zhihao Duan & Jinliang Xu & Han Ru & Yaping Dong & Xingliang Liu, 2019. "Analysis of Emergency Evacuation Modal Choice Behavior with Spatial Indicators: Case Study in Xi’an, China," Sustainability, MDPI, vol. 11(24), pages 1-10, December.
    2. Emmanuel Mavhura, 2020. "Learning from the tropical cyclones that ravaged Zimbabwe: policy implications for effective disaster preparedness," 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. 104(3), pages 2261-2275, December.
    3. Galateia Terti & Isabelle Ruin & Jonathan J. Gourley & Pierre Kirstetter & Zachary Flamig & Juliette Blanchet & Ami Arthur & Sandrine Anquetin, 2019. "Toward Probabilistic Prediction of Flash Flood Human Impacts," Risk Analysis, John Wiley & Sons, vol. 39(1), pages 140-161, January.
    4. Shi Chang & Rohan Singh Wilkho & Nasir Gharaibeh & Garett Sansom & Michelle Meyer & Francisco Olivera & Lei Zou, 2023. "Environmental, climatic, and situational factors influencing the probability of fatality or injury occurrence in flash flooding: a rare event logistic regression predictive model," 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. 116(3), pages 3957-3978, April.
    5. Saudamini Das, 2019. "Evaluating climate change adaptation through evacuation decisions: a case study of cyclone management in India," Climatic Change, Springer, vol. 152(2), pages 291-305, January.
    6. Yesen Liu & Ximin Yuan & Liang Guo & Yaohuan Huang & Xiaolei Zhang, 2017. "Driving Force Analysis of the Temporal and Spatial Distribution of Flash Floods in Sichuan Province," Sustainability, MDPI, vol. 9(9), pages 1-17, August.
    7. Delin Liu & Xiaole Chang & Siyu Wu & Yongling Zhang & Nana Kong & Xiaobing Zhang, 2024. "Influencing Factors of Urban Public Flood Emergency Evacuation Decision Behavior Based on Protection Motivation Theory: An Example from Jiaozuo City, China," Sustainability, MDPI, vol. 16(13), pages 1-15, June.
    8. Piyapong Suwanno & Chaiwat Yaibok & Noriyasu Tsumita & Atsushi Fukuda & Kestsirin Theerathitichaipa & Manlika Seefong & Sajjakaj Jomnonkwao & Rattanaporn Kasemsri, 2023. "Estimation of the Evacuation Time According to Different Flood Depths," Sustainability, MDPI, vol. 15(7), pages 1-23, April.
    9. Hafiz Suliman Munawar & Fahim Ullah & Siddra Qayyum & Sara Imran Khan & Mohammad Mojtahedi, 2021. "UAVs in Disaster Management: Application of Integrated Aerial Imagery and Convolutional Neural Network for Flood Detection," Sustainability, MDPI, vol. 13(14), pages 1-22, July.
    10. Hao Chu & Jia Yu & Jiahong Wen & Min Yi & Yun Chen, 2019. "Emergency Evacuation Simulation and Management Optimization in Urban Residential Communities," Sustainability, MDPI, vol. 11(3), pages 1-25, February.
    11. Meenu Rani & Sufia Rehman & Haroon Sajjad & B. S. Chaudhary & Jyoti Sharma & Sandeep Bhardwaj & Pavan Kumar, 2018. "Assessing coastal landscape vulnerability using geospatial techniques along Vizianagaram–Srikakulam coast of Andhra Pradesh, India," 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. 94(2), pages 711-725, November.
    12. Yesen Liu & Yaohuan Huang & Jinhong Wan & Zhenshan Yang & Xiaolei Zhang, 2020. "Analysis of Human Activity Impact on Flash Floods in China from 1950 to 2015," Sustainability, MDPI, vol. 13(1), pages 1-12, December.
    13. F. Paola & M. Giugni & F. Pugliese & P. Romano, 2018. "Optimal Design of LIDs in Urban Stormwater Systems Using a Harmony-Search Decision Support System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(15), pages 4933-4951, December.
    14. Peng Gao & Wei Gao & Nan Ke, 2021. "Assessing the impact of flood inundation dynamics on an urban environment," 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. 109(1), pages 1047-1072, October.
    15. Sufia Rehman & Mehebub Sahana & Haoyuan Hong & Haroon Sajjad & Baharin Bin Ahmed, 2019. "A systematic review on approaches and methods used for flood vulnerability assessment: framework for future research," 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. 96(2), pages 975-998, March.
    16. Maria Cortès & Maria Carmen Llasat & Joan Gilabert & Montserrat Llasat-Botija & Marco Turco & Raül Marcos & Juan Pedro Martín Vide & Lluís Falcón, 2018. "Towards a better understanding of the evolution of the flood risk in Mediterranean urban areas: the case of Barcelona," 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. 93(1), pages 39-60, September.

    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:97:y:2019:i:1:d:10.1007_s11069-019-03630-3. 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.