IDEAS home Printed from https://ideas.repec.org/a/kap/jgeosy/v24y2022i4d10.1007_s10109-022-00381-x.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10109-022-00381-x
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s10109-022-00381-x?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. 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. 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.
    5. 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).
    6. 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.
    7. 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.
    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. Jinjoo Bok & Youngsang Kwon, 2016. "Comparable Measures of Accessibility to Public Transport Using the General Transit Feed Specification," Sustainability, MDPI, vol. 8(3), pages 1-13, March.
    2. Fayyaz, S. Kiavash & Liu, Xiaoyue Cathy & Porter, Richard J., 2017. "Dynamic transit accessibility and transit gap causality analysis," Journal of Transport Geography, Elsevier, vol. 59(C), pages 27-39.
    3. Kelobonye, Keone & Zhou, Heng & McCarney, Gary & Xia, Jianhong (Cecilia), 2020. "Measuring the accessibility and spatial equity of urban services under competition using the cumulative opportunities measure," Journal of Transport Geography, Elsevier, vol. 85(C).
    4. Xinxin Zhou & Yuan Ding & Changbin Wu & Jing Huang & Chendi Hu, 2019. "Measuring the Spatial Allocation Rationality of Service Facilities of Residential Areas Based on Internet Map and Location-Based Service Data," Sustainability, MDPI, vol. 11(5), pages 1-19, March.
    5. Mengying Cui & David Levinson, 2020. "Multi-Activity Access: How Activity Choice Affects Opportunity," Working Papers 2022-01, University of Minnesota: Nexus Research Group.
    6. Shixiong Jiang & Wei Guan & Zhengbing He & Liu Yang, 2018. "Measuring Taxi Accessibility Using Grid-Based Method with Trajectory Data," Sustainability, MDPI, vol. 10(9), pages 1-16, September.
    7. Rayaprolu, Hema & Levinson, David, 2024. "Co-evolution of public transport access and ridership," Journal of Transport Geography, Elsevier, vol. 116(C).
    8. Mengying Cui & David Levinson, 2018. "Accessibility analysis of risk severity," Transportation, Springer, vol. 45(4), pages 1029-1050, July.
    9. Daniel Oviedo & Lynn Scholl & Marco Innao & Lauramaria Pedraza, 2019. "Do Bus Rapid Transit Systems Improve Accessibility to Job Opportunities for the Poor? The Case of Lima, Peru," Sustainability, MDPI, vol. 11(10), pages 1-24, May.
    10. Awaworyi Churchill, Sefa & Koomson, Isaac & Munyanyi, Musharavati Ephraim, 2023. "Transport poverty and obesity: The mediating roles of social capital and physical activity," Transport Policy, Elsevier, vol. 130(C), pages 155-166.
    11. Karst Geurs & Cathy Macharis, 2019. "The future of European communication and transportation research: a research agenda," REGION, European Regional Science Association, vol. 6, pages 1-21.
    12. Bocarejo S., Juan Pablo & Oviedo H., Daniel Ricardo, 2012. "Transport accessibility and social inequities: a tool for identification of mobility needs and evaluation of transport investments," Journal of Transport Geography, Elsevier, vol. 24(C), pages 142-154.
    13. Cervero, Robert, 2005. "Accessible Cities and Regions: A Framework for Sustainable Transport and Urbanism in the 21st Century," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt27g2q0cx, Institute of Transportation Studies, UC Berkeley.
    14. Zao Li & Yanyan Gao & Li Yu & Charles L. Choguill & Weiyi Cui, 2022. "Analysis of the Elderly’s Preferences for Choosing Medical Service Facilities from the Perspective of Accessibility: A Case Study of Tertiary General Hospitals in Hefei, China," IJERPH, MDPI, vol. 19(15), pages 1-23, August.
    15. Dong, Xiaojing & Ben-Akiva, Moshe E. & Bowman, John L. & Walker, Joan L., 2006. "Moving from trip-based to activity-based measures of accessibility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(2), pages 163-180, February.
    16. Mizuki Kawabata, 2009. "Spatiotemporal Dimensions of Modal Accessibility Disparity in Boston and San Francisco," Environment and Planning A, , vol. 41(1), pages 183-198, January.
    17. Zhicheng Zheng & Haoming Xia & Shrinidhi Ambinakudige & Yaochen Qin & Yang Li & Zhixiang Xie & Lijun Zhang & Haibin Gu, 2019. "Spatial Accessibility to Hospitals Based on Web Mapping API: An Empirical Study in Kaifeng, China," Sustainability, MDPI, vol. 11(4), pages 1-14, February.
    18. Luz, Gregório & Barboza, Matheus H.C. & Portugal, Licinio & Giannotti, Mariana & van Wee, Bert, 2022. "Does better accessibility help to reduce social exclusion? Evidence from the city of São Paulo, Brazil," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 186-217.
    19. Mondschein, Andrew & Taylor, Brian D & Brumbaugh, Stephen, 2010. "Congestion And Accessibility: What’S The Relationship?," University of California Transportation Center, Working Papers qt8135b0jh, University of California Transportation Center.
    20. Ryan, Jean & Martens, Karel, 2023. "Defining and implementing a sufficient level of accessibility: What’s stopping us?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).

    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

    Statistics

    Access and download statistics

    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:kap:jgeosy:v:24:y:2022:i:4:d:10.1007_s10109-022-00381-x. 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.