IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i2p349-d196919.html
   My bibliography  Save this article

A Vulnerability Assessment of Urban Emergency in Schools of Shanghai

Author

Listed:
  • Jie Yin

    (Faculty of Education, East China Normal University, Shanghai 200062, China
    Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai 200241, China
    Institute of Eco-Chongming, East China Normal University, Shanghai 200062, China)

  • Yameng Jing

    (Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai 200241, China)

  • Dapeng Yu

    (Department of Geography, Loughborough University, Loughborough LE11 3TU, UK)

  • Mingwu Ye

    (Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai 200241, China)

  • Yuhan Yang

    (Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai 200241, China)

  • Banggu Liao

    (School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China)

Abstract

Schools and students are particularly vulnerable to natural hazards, especially pluvial flooding in cities. This paper presents a scenario-based study that assesses the school vulnerability of emergency services (i.e., Emergency Medical Service and Fire & Rescue Service) to urban pluvial flooding in the city center of Shanghai, China through the combination of flood hazard analysis and GIS-based accessibility mapping. Emergency coverages and response times in various traffic conditions are quantified to generate school vulnerability under normal no-flood and 100-y pluvial flood scenarios. The findings indicate that severe pluvial flooding could lead to proportionate and linear impacts on emergency response provision to schools in the city. Only 11% of all the schools is predicted to be completely unreachable (very high vulnerability) during flood emergency but the majority of the schools would experience significant delay in the travel times of emergency responses. In this case, appropriate adaptations need to be particularly targeted for specific hot-spot areas (e.g., new urbanized zones) and crunch times (e.g., rush hours).

Suggested Citation

  • Jie Yin & Yameng Jing & Dapeng Yu & Mingwu Ye & Yuhan Yang & Banggu Liao, 2019. "A Vulnerability Assessment of Urban Emergency in Schools of Shanghai," Sustainability, MDPI, vol. 11(2), pages 1-12, January.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:2:p:349-:d:196919
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/2/349/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/11/2/349/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xiaodan Wu & Dapeng Yu & Zhongyuan Chen & Robert Wilby, 2012. "An evaluation of the impacts of land surface modification, storm sewer development, and rainfall variation on waterlogging risk in Shanghai," 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. 63(2), pages 305-323, September.
    2. Jones, S.E. & Brener, N.D. & McManus, T., 2003. "Prevalence of School Policies, Programs, and Facilities That Promote a Healthy Physical School Environment," American Journal of Public Health, American Public Health Association, vol. 93(9), pages 1570-1575.
    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. Hongbin Shi & Miao Zhou & Nana Kong & Yongling Zhang & Xin Li, 2023. "A Study on the Accessibility of the Emergency Medical Services for Urban Kindergartens and Nursing Homes Based on Urban Pluvial Flooding Scenarios," Sustainability, MDPI, vol. 15(13), pages 1-12, July.
    2. Yongling Zhang & Miao Zhou & Nana Kong & Xin Li & Xiaobing Zhou, 2022. "Evaluation of Emergency Response Capacity of Urban Pluvial Flooding Public Service Based on Scenario Simulation," IJERPH, MDPI, vol. 19(24), pages 1-16, December.
    3. Mariusz Starzec & Sabina Kordana-Obuch & Daniel Słyś, 2023. "Assessment of the Feasibility of Implementing a Flash Flood Early Warning System in a Small Catchment Area," Sustainability, MDPI, vol. 15(10), pages 1-43, May.
    4. Yiche Wang & Hai Li & Yong Shi & Qian Yao, 2022. "A Study on Spatial Accessibility of the Urban Stadium Emergency Response under the Flood Disaster Scenario," Sustainability, MDPI, vol. 14(24), pages 1-15, December.

    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. Thomas D. Pol & Ekko C. Ierland & Silke Gabbert, 2017. "Economic analysis of adaptive strategies for flood risk management under climate change," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 22(2), pages 267-285, February.
    2. Huafei Yu & Yaolong Zhao & Yingchun Fu, 2019. "Optimization of Impervious Surface Space Layout for Prevention of Urban Rainstorm Waterlogging: A Case Study of Guangzhou, China," IJERPH, MDPI, vol. 16(19), pages 1-28, September.
    3. Qingyu Huang & Jun Wang & Mengya Li & Moli Fei & Jungang Dong, 2017. "Modeling the influence of urbanization on urban pluvial flooding: a scenario-based case study in Shanghai, China," 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. 87(2), pages 1035-1055, June.
    4. Rui-Song Quan, 2014. "Rainstorm waterlogging risk assessment in central urban area of Shanghai based on multiple scenario simulation," 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. 73(3), pages 1569-1585, September.
    5. Hui Zhang & Jiong Cheng & Zhifeng Wu & Cheng Li & Jun Qin & Tong Liu, 2018. "Effects of Impervious Surface on the Spatial Distribution of Urban Waterlogging Risk Spots at Multiple Scales in Guangzhou, South China," Sustainability, MDPI, vol. 10(5), pages 1-20, May.
    6. Jie Yin & Dapeng Yu & Zhane Yin & Jun Wang & Shiyuan Xu, 2013. "Modelling the combined impacts of sea-level rise and land subsidence on storm tides induced flooding of the Huangpu River in Shanghai, China," Climatic Change, Springer, vol. 119(3), pages 919-932, August.
    7. Jie Yin & Dapeng Yu & Zhane Yin & Jun Wang & Shiyuan Xu, 2013. "Multiple scenario analyses of Huangpu River flooding using a 1D/2D coupled flood inundation 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. 66(2), pages 577-589, March.
    8. Lu Liu & Jian Sun & Binliang Lin, 2022. "A large-scale waterlogging investigation in a megacity," 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. 114(2), pages 1505-1524, November.
    9. Huafei Yu & Yaolong Zhao & Yingchun Fu & Le Li, 2018. "Spatiotemporal Variance Assessment of Urban Rainstorm Waterlogging Affected by Impervious Surface Expansion: A Case Study of Guangzhou, China," Sustainability, MDPI, vol. 10(10), pages 1-22, October.
    10. Li Liu & Xing Li & Gaoyuan Xia & Juliang Jin & Guowei Chen, 2016. "Spatial fuzzy clustering approach to characterize flood risk in urban storm water drainage 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. 83(3), pages 1469-1483, 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:gam:jsusta:v:11:y:2019:i:2:p:349-:d:196919. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.