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Accessibility analysis of urban fire stations within communities: a fine-scale perspective

Author

Listed:
  • Wenhao Yu

    (China University of Geosciences)

  • Yaya Huang

    (China University of Geosciences)

  • Yujie Chen

    (China University of Geosciences)

  • Zelong Xia

    (Jiangsu Second Normal University)

Abstract

In recent years, with the rapid expansion of urban space and the explosion of population within communities in China, fire stations face challenges in providing timely response to potential demands throughout their service coverage. To ensure speedy and equitable provision of fire services, it is essential to evaluate the accessibility of fire stations under the current fire service systems. Traditional accessibility analysis is often based on the aggregated large areal units, such as the census tracks, failing to assess accessibility of individual buildings. In this regard, this study seeks to analyze potential accessibility to urban fire stations at a fine scale, i.e., the building level, and to provide valuable information to assist in strategic planning of fire stations in urban areas and within local communities. Because the detailed intra-community roads are not stored in the official city map database, we propose to use a classic GIS technology, the Delaunay triangulation model, to automatically extract the intra-community roads from building footprints. With these private roads integrated into the existing city roads, a simulated road network is constructed. Then, the Voronoi-based method and buffering method are used to assess accessibility to urban fire stations. Results reveal that the current layout of fire stations in the study area is not sufficient to achieve a complete coverage of potential demands in the stipulated time, and the traditional central areas enjoy better access to fire services compared to the periphery areas. The building-level analyses will not only enable decision-makers to strategically allocate new fire stations in the urban areas, but also help local authorities to enhance fire safety management within the community. The proposed method can also be applied to fine-scale analysis of neighborhood services’ accessibility in other cities.

Suggested Citation

  • Wenhao Yu & Yaya Huang & Yujie Chen & Zelong Xia, 2022. "Accessibility analysis of urban fire stations within communities: a fine-scale perspective," Journal of Geographical Systems, Springer, vol. 24(4), pages 611-640, October.
  • Handle: RePEc:kap:jgeosy:v:24:y:2022:i:4:d:10.1007_s10109-022-00381-x
    DOI: 10.1007/s10109-022-00381-x
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    References listed on IDEAS

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    1. Bo-Sin Tang & Kenneth KH Wong & Kenneth SS Tang & Siu Wai Wong, 2021. "Walking accessibility to neighbourhood open space in a multi-level urban environment of Hong Kong," Environment and Planning B, , vol. 48(5), pages 1340-1356, June.
    2. Ana Condeço-Melhorado & Aura Reggiani & Javier Gutiérrez, 2018. "New Data and Methods in Accessibility Analysis," Networks and Spatial Economics, Springer, vol. 18(2), pages 237-240, June.
    3. Wachs, Martin & Kumagai, T. Gordon, 1973. "Physical accessibility as a social indicator," Socio-Economic Planning Sciences, Elsevier, vol. 7(5), pages 437-456, October.
    4. KC, Kiran & Corcoran, Jonathan & Chhetri, Prem, 2020. "Measuring the spatial accessibility to fire stations using enhanced floating catchment method," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    5. Wenhao Yu & Yujie Chen & Menglin Guan, 2021. "Hierarchical siting of macro fire station and micro fire station," Environment and Planning B, , vol. 48(7), pages 1972-1988, September.
    6. 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.
    7. Widener, Michael J. & Farber, Steven & Neutens, Tijs & Horner, Mark, 2015. "Spatiotemporal accessibility to supermarkets using public transit: an interaction potential approach in Cincinnati, Ohio," Journal of Transport Geography, Elsevier, vol. 42(C), pages 72-83.
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    More about this item

    Keywords

    Accessibility; Urban fire stations; Fine-scale analysis; Service coverage;
    All these keywords.

    JEL classification:

    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

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