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Disruption of emergency response to vulnerable populations during floods

Author

Listed:
  • Dapeng Yu

    (Loughborough University
    East China Normal University
    Previsico)

  • Jie Yin

    (East China Normal University
    East China Normal University)

  • Robert L. Wilby

    (Loughborough University)

  • Stuart N. Lane

    (University of Lausanne)

  • Jeroen C. J. H. Aerts

    (Vrije Universiteit Amsterdam)

  • Ning Lin

    (Princeton University)

  • Min Liu

    (East China Normal University
    East China Normal University)

  • Hongyong Yuan

    (Tsinghua University)

  • Jianguo Chen

    (Tsinghua University)

  • Christel Prudhomme

    (Loughborough University
    European Centre for Medium-Range Weather Forecasts)

  • Mingfu Guan

    (The University of Hong Kong)

  • Avinoam Baruch

    (Previsico)

  • Charlie W. D. Johnson

    (Previsico)

  • Xi Tang

    (East China Normal University
    East China Normal University)

  • Lizhong Yu

    (East China Normal University
    East China Normal University)

  • Shiyuan Xu

    (East China Normal University
    East China Normal University)

Abstract

Emergency responders must reach urgent cases within mandatory timeframes, regardless of weather conditions. However, flooding of transport networks can add critical minutes to travel times between dispatch and arrival. Here, we explicitly model the spatial coverage of all Ambulance Service and Fire and Rescue Service stations in England during flooding of varying severity under compliant response times. We show that even low-magnitude floods can lead to a reduction in national-level compliance with mandatory response times and this reduction can be even more dramatic in some urban agglomerations, making the effectiveness of the emergency response particularly sensitive to the expected impacts of future increases in extreme rainfall and flood risk. Underpinning this sensitivity are policies leading to the centralization of the Ambulance Service and the decentralization of the Fire and Rescue Service. The results provide opportunities to identify hotspots of vulnerability (such as care homes, sheltered accommodation, nurseries and schools) for optimizing the distribution of response stations and developing contingency plans for stranded sites.

Suggested Citation

  • Dapeng Yu & Jie Yin & Robert L. Wilby & Stuart N. Lane & Jeroen C. J. H. Aerts & Ning Lin & Min Liu & Hongyong Yuan & Jianguo Chen & Christel Prudhomme & Mingfu Guan & Avinoam Baruch & Charlie W. D. J, 2020. "Disruption of emergency response to vulnerable populations during floods," Nature Sustainability, Nature, vol. 3(9), pages 728-736, September.
  • Handle: RePEc:nat:natsus:v:3:y:2020:i:9:d:10.1038_s41893-020-0516-7
    DOI: 10.1038/s41893-020-0516-7
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    Citations

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    Cited by:

    1. 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).
    2. Yang, Yuanxuan & Beecham, Roger & Heppenstall, Alison & Turner, Andy & Comber, Alexis, 2022. "Understanding the impacts of public transit disruptions on bikeshare schemes and cycling behaviours using spatiotemporal and graph-based analysis: A case study of four London Tube strikes," Journal of Transport Geography, Elsevier, vol. 98(C).
    3. Phoebe Koundouri & Angelos Alamanos & Jeffrey D Sachs, 2024. "Innovating for Sustainability: The Global Climate Hub," DEOS Working Papers 2403, Athens University of Economics and Business.
    4. 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).
    5. Daniel Adshead & Amelie Paszkowski & Sarah S. Gall & Alison M. Peard & Mohammed Sarfaraz Gani Adnan & Jasper Verschuur & Jim W. Hall, 2024. "Climate threats to coastal infrastructure and sustainable development outcomes," Nature Climate Change, Nature, vol. 14(4), pages 344-352, April.

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