IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i8p4200-d536798.html
   My bibliography  Save this article

Exploring Spatiotemporal Accessibility of Urban Fire Services Using Real-Time Travel Time

Author

Listed:
  • Yuehong Chen

    (College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China)

  • Yuyu Li

    (College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China)

  • Guohao Wu

    (College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China)

  • Fengyan Zhang

    (College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China)

  • Kaixin Zhu

    (College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China)

  • Zelong Xia

    (School of Urban Resource and Environment, Jiangsu Second Normal University, Nanjing 210013, China)

  • Yu Chen

    (School of Geography, Nanjing Normal University, Nanjing 210023, China
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China)

Abstract

The accessibility of urban fire services is a critical indicator in evaluating fire services and optimizing fire resource allocation. However, previous studies have mainly concentrated on measuring the spatial accessibility of fire services, and little, if any, consideration has been paid to exploring the spatiotemporal dynamics of the accessibility of urban fire services. Therefore, we used real-time travel time to extend an existing spatial accessibility method to measure the spatiotemporal accessibility of fire services in a case study of Nanjing, China. The results show that (1) the overall accessibility of fire incidents and fire stations in Nanjing, China, is uneven, with relatively high accessibility in the southwest and northeast of the city center; (2) the number of fire incidents with low-level accessibility apparently increases in rush hours (i.e., 07:00–09:00 and 17:00–19:00 h) in the southeast and north of the city center, and the fire incidents with medium-level and high-level accessibility easily change to lower levels under the influence of traffic congestion, with fire incidents with medium-level accessibility being affected the most; (3) the accessibility of fire stations changes over time with an obvious W pattern, with lower accessibility during rush hours than at other times, and several fire stations in the city center present an asymmetric W pattern; (4) the accessibility decline ratio for fire stations in rush hours is greater in the city center than in urban suburbs, and the decline ratios are strongly related to the travel time increase and the percent increase in uncovered fire incidents during rush hours. The results and findings demonstrate that our method can be used to explore the spatiotemporal dynamics of the accessibility of fire services, and so can guide policymakers in improving fire services.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:8:p:4200-:d:536798
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/8/4200/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/8/4200/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dewulf, Bart & Neutens, Tijs & Vanlommel, Mario & Logghe, Steven & De Maeyer, Philippe & Witlox, Frank & De Weerdt, Yves & Van de Weghe, Nico, 2015. "Examining commuting patterns using Floating Car Data and circular statistics: Exploring the use of new methods and visualizations to study travel times," Journal of Transport Geography, Elsevier, vol. 48(C), pages 41-51.
    2. Langjiao Li & Qingyun Du & Fu Ren & Xiangyuan Ma, 2019. "Assessing Spatial Accessibility to Hierarchical Urban Parks by Multi-Types of Travel Distance in Shenzhen, China," IJERPH, MDPI, vol. 16(6), pages 1-23, March.
    3. 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.
    4. Stępniak, Marcin & Pritchard, John P. & Geurs, Karst T. & Goliszek, Sławomir, 2019. "The impact of temporal resolution on public transport accessibility measurement: Review and case study in Poland," Journal of Transport Geography, Elsevier, vol. 75(C), pages 8-24.
    5. Hu, Yujie & Downs, Joni, 2019. "Measuring and visualizing place-based space-time job accessibility," Journal of Transport Geography, Elsevier, vol. 74(C), pages 278-288.
    6. 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).
    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. Yongling Zhang & Xin Li & Nana Kong & Miao Zhou & Xiaobing Zhou, 2022. "Spatial Accessibility Assessment of Emergency Response of Urban Public Services in the Context of Pluvial Flooding Scenarios: The Case of Jiaozuo Urban Area, China," Sustainability, MDPI, vol. 14(24), pages 1-15, December.
    2. 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.
    3. Linlin Liu & Bohong Zheng & Chen Luo & Komi Bernard Bedra & Francis Masrabaye, 2022. "Access to City Center: Automobile vs. Public Transit," IJERPH, MDPI, vol. 19(9), pages 1-16, May.

    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. Mansour, Shawky & Alahmadi, Mohammed & Abulibdeh, Ammar, 2022. "Spatial assessment of audience accessibility to historical monuments and museums in Qatar during the 2022 FIFA World Cup," Transport Policy, Elsevier, vol. 127(C), pages 116-129.
    2. Linlin Liu & Bohong Zheng & Chen Luo & Komi Bernard Bedra & Francis Masrabaye, 2022. "Access to City Center: Automobile vs. Public Transit," IJERPH, MDPI, vol. 19(9), pages 1-16, May.
    3. 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.
    4. Junghwan Kim & Mei-Po Kwan, 2018. "Beyond Commuting: Ignoring Individuals’ Activity-Travel Patterns May Lead to Inaccurate Assessments of Their Exposure to Traffic Congestion," IJERPH, MDPI, vol. 16(1), pages 1-20, December.
    5. Akpan, Uduak & Morimoto, Risako, 2022. "An application of Multi-Attribute Utility Theory (MAUT) to the prioritization of rural roads to improve rural accessibility in Nigeria," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    6. Mengying Cui & David Levinson, 2020. "Primal and Dual Access," Working Papers 2022-01, University of Minnesota: Nexus Research Group.
    7. Sui Zhang & Minghao Wang & Zhao Yang & Baolei Zhang, 2021. "A Novel Predictor for Micro-Scale COVID-19 Risk Modeling: An Empirical Study from a Spatiotemporal Perspective," IJERPH, MDPI, vol. 18(24), pages 1-16, December.
    8. Anzhelika Antipova & Salima Sultana & Yujie Hu & James P. Rhudy, 2020. "Accessibility and Transportation Equity," Sustainability, MDPI, vol. 12(9), pages 1-6, April.
    9. Goliszek Sławomir, 2022. "The potential accessibility to workplaces and working-age population by means of public and private car transport in Szczecin," Miscellanea Geographica. Regional Studies on Development, Sciendo, vol. 26(1), pages 31-41, January.
    10. El Murr, Karl & Boisjoly, Genevieve & Waygood, E.O.D., 2023. "Measuring accessibility to parks: Analyzing the relationship between self-reported and calculated measures," Journal of Transport Geography, Elsevier, vol. 107(C).
    11. Giannotti, Mariana & Tomasiello, Diego B. & Bittencourt, Taina A., 2022. "The bias in estimating accessibility inequalities using gravity-based metrics," Journal of Transport Geography, Elsevier, vol. 101(C).
    12. Foissaud, Nicolas & Gioldasis, Christos & Tamura, Shun & Christoforou, Zoi & Farhi, Nadir, 2022. "Free-floating e-scooter usage in urban areas: A spatiotemporal analysis," Journal of Transport Geography, Elsevier, vol. 100(C).
    13. Shi, Yuji & Blainey, Simon & Sun, Chao & Jing, Peng, 2020. "A literature review on accessibility using bibliometric analysis techniques," Journal of Transport Geography, Elsevier, vol. 87(C).
    14. Elżbieta Szaruga & Bartosz Pilecki & Marta Sidorkiewicz, 2023. "The Impact of the COVID-19 Pandemic, Transport Accessibility, and Accommodation Accessibility on the Energy Intensity of Public Tourist Transport," Energies, MDPI, vol. 16(19), pages 1-27, October.
    15. Sławomir Goliszek, 2021. "GIS tools and programming languages for creating models of public and private transport potential accessibility in Szczecin, Poland," Journal of Geographical Systems, Springer, vol. 23(1), pages 115-137, January.
    16. Anna E. Wolnowska & Lech Kasyk, 2021. "Ways Residents of Large Cities in Poland, Commute before and during the Covid-19 Pandemic," European Research Studies Journal, European Research Studies Journal, vol. 0(3B), pages 749-768.
    17. Ryan, Jean & Pereira, Rafael H.M. & Andersson, Magnus, 2023. "Accessibility and space-time differences in when and how different groups (choose to) travel," Journal of Transport Geography, Elsevier, vol. 111(C).
    18. Allen, Jeff & Farber, Steven, 2020. "Planning transport for social inclusion: An accessibility-activity participation approach," SocArXiv ap7wh, Center for Open Science.
    19. Yang, Wenyue & Chen, Bi Yu & Cao, Xiaoshu & Li, Tao & Li, Peng, 2017. "The spatial characteristics and influencing factors of modal accessibility gaps: A case study for Guangzhou, China," Journal of Transport Geography, Elsevier, vol. 60(C), pages 21-32.
    20. Yan, Xiang & Bejleri, Ilir & Zhai, Liang, 2022. "A spatiotemporal analysis of transit accessibility to low-wage jobs in Miami-Dade County," Journal of Transport Geography, Elsevier, vol. 98(C).

    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:jijerp:v:18:y:2021:i:8:p:4200-:d:536798. 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.