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Service Area Delimitation of Fire Stations with Fire Risk Analysis: Implementation and Case Study

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  • Wenhao Yu

    (School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China
    State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    Key Laboratory of Geological Survey and Evaluation of Ministry of Education, China University of Geosciences, Wuhan 430074, China)

  • Yujie Chen

    (School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China)

  • Zhanlong Chen

    (School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China)

  • Zelong Xia

    (School of Earth Sciences and Engineering, Hohai University, Nanjing 210098, China)

  • Qi Zhou

    (School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China)

Abstract

Under the rapid development of urbanization, fire service becomes one of the biggest contributive factors to personal health and property safety. A reasonable plan of fire services should first address the issue of service area delimitation for fire emergency facilities. Specifically, there are two key factors for fire services including rescue efficiency and load balancing, which are usually handled by the space partitioning methods (e.g., Voronoi diagram). The traditional methods tend to model the space in a homogeneous plane with Euclidean distance, while in reality, the movement of rescuing is constrained by the street network. In addition, the built environment is complex by its variation of fire risk across places. Therefore, we propose a novel constrained Voronoi diagram for fire service area delimitation by adding the datasets of street network and historical fire incidents. Considering the prior knowledge that a fire engine is expected to reach the location of incident within five minutes, which is also called Golden 5 min, we propose a network partitioning algorithm which is able to increase the five-minute coverage of fire stations. Through a case study in Nanjing, China, we demonstrate the practicability of the proposed method in delimitating service areas of fire stations across time.

Suggested Citation

  • Wenhao Yu & Yujie Chen & Zhanlong Chen & Zelong Xia & Qi Zhou, 2020. "Service Area Delimitation of Fire Stations with Fire Risk Analysis: Implementation and Case Study," IJERPH, MDPI, vol. 17(6), pages 1-24, March.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:6:p:2030-:d:334313
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    References listed on IDEAS

    as
    1. Yu, Wenhao & Ai, Tinghua & Shao, Shiwei, 2015. "The analysis and delimitation of Central Business District using network kernel density estimation," Journal of Transport Geography, Elsevier, vol. 45(C), pages 32-47.
    2. Yuan Qiao & Kaisheng Huang & Johannes Jeub & Jianan Qian & Yizhou Song, 2018. "Deploying Electric Vehicle Charging Stations Considering Time Cost and Existing Infrastructure," Energies, MDPI, vol. 11(9), pages 1-13, September.
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    Cited by:

    1. Omer Dogan & Jaewon Han & Sugie Lee, 2021. "Opening Gated Communities and Neighborhood Accessibility Benefits: The Case of Seoul, Korea," IJERPH, MDPI, vol. 18(8), pages 1-15, April.
    2. Yuehong Chen & Yuyu Li & Guohao Wu & Fengyan Zhang & Kaixin Zhu & Zelong Xia & Yu Chen, 2021. "Exploring Spatiotemporal Accessibility of Urban Fire Services Using Real-Time Travel Time," IJERPH, MDPI, vol. 18(8), pages 1-17, April.

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