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An Improved Two-Step Floating Catchment Area Method for Evaluating Spatial Accessibility to Urban Emergency Shelters

Author

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  • Xiaomeng Zhu

    (School of Environment, Northeast Normal University, Changchun 130117, China)

  • Zhijun Tong

    (School of Environment, Northeast Normal University, Changchun 130117, China)

  • Xingpeng Liu

    (School of Environment, Northeast Normal University, Changchun 130117, China)

  • Xiangqian Li

    (School of Environment, Northeast Normal University, Changchun 130117, China)

  • Pengda Lin

    (School of Environment, Northeast Normal University, Changchun 130117, China)

  • Tong Wang

    (Army Armor Academy, NCO Institute, Changchun 130117, China)

Abstract

As an important component of urban disaster prevention and mitigation systems, the balance and equity of emergency shelter distribution can be measured based on spatial accessibility utilizing the two-step floating catchment area (2SFCA) method. However, there are some issues in previous studies on emergency shelter accessibility evaluated by the 2SFCA method: (1) the high discretization of population distribution data and the travel cost being measured base on Euclidean distance; (2) ignoring the difference between shelter and population catchment sizes. To address these issues, we propose an improved 2SFCA method that computes the shelter and population catchments respectively to evaluate the emergency shelter accessibility in Changchun, China. We compare the proposed improved 2SFCA method to the original 2SFCA method. The results indicate that the catchment size and shelter accessibility calculated by the proposed method are more realistic and objective. The improved 2SFCA method is applicable method for evaluating the shelter accessibility and can provide advice for the planning and management of emergency shelters in the future.

Suggested Citation

  • Xiaomeng Zhu & Zhijun Tong & Xingpeng Liu & Xiangqian Li & Pengda Lin & Tong Wang, 2018. "An Improved Two-Step Floating Catchment Area Method for Evaluating Spatial Accessibility to Urban Emergency Shelters," Sustainability, MDPI, vol. 10(7), pages 1-15, June.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:7:p:2180-:d:154570
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    References listed on IDEAS

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    1. Hao Wu & Lingbo Liu & Yang Yu & Zhenghong Peng, 2018. "Evaluation and Planning of Urban Green Space Distribution Based on Mobile Phone Data and Two-Step Floating Catchment Area Method," Sustainability, MDPI, vol. 10(1), pages 1-11, January.
    2. Laijun Zhao & Huiyong Li & Yan Sun & Rongbing Huang & Qingmi Hu & Jiajia Wang & Fei Gao, 2017. "Planning Emergency Shelters for Urban Disaster Resilience: An Integrated Location-Allocation Modeling Approach," Sustainability, MDPI, vol. 9(11), pages 1-20, November.
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    Cited by:

    1. Siqi Tang & Jianguo Wang & Yuanhao Xu & Shengbo Chen & Jiawang Zhang & Wutao Zhao & Guojian Wang, 2023. "Evaluation of Emergency Shelter Service Functions and Optimisation Suggestions—Case Study in the Songyuan City Central Area," Sustainability, MDPI, vol. 15(9), pages 1-20, April.
    2. Karimpour, Abolfazl & Hosseinzadeh, Aryan & Kluger, Robert, 2023. "A data-driven approach to estimating dockless electric scooter service areas," Journal of Transport Geography, Elsevier, vol. 109(C).
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    4. Yilun Cao & Yuhan Guo & Yuhao Fang & Xinwei He, 2023. "Refuge Green Space Equity: A Case Study of Third Ring Road on Chengdu," Land, MDPI, vol. 12(7), pages 1-22, July.
    5. Jan Jekl & Jiří Jánský, 2022. "Security Challenges and Economic-Geographical Metrics for Analyzing Safety to Achieve Sustainable Protection," Sustainability, MDPI, vol. 14(22), pages 1-19, November.

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