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Evaluation of Emergency Shelter Service Functions and Optimisation Suggestions—Case Study in the Songyuan City Central Area

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  • Siqi Tang

    (College of Earth Sciences, Jilin University, Changchun 130061, China)

  • Jianguo Wang

    (College of Earth Sciences, Jilin University, Changchun 130061, China)

  • Yuanhao Xu

    (College of Public Administration, Changchun University of Technology, Changchun 130012, China)

  • Shengbo Chen

    (College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China)

  • Jiawang Zhang

    (College of Earth Sciences, Jilin University, Changchun 130061, China)

  • Wutao Zhao

    (College of Earth Sciences, Jilin University, Changchun 130061, China)

  • Guojian Wang

    (College of Earth Sciences, Jilin University, Changchun 130061, China)

Abstract

Reasonable planning and construction of emergency shelters is of great significance in improving the ability of cities to prevent and mitigate disasters and ensuring urban public safety. From the perspective of the needs of the evacuees, this paper constructs an evaluation index system for the service function of emergency evacuation places in four aspects: effectiveness, accessibility, safety and rescue responsiveness. This paper takes the central city of Songyuan as the case study area. We apply the entropy weight–TOPSIS–grey correlation method to evaluate the service functions of emergency shelters in the central city of Songyuan and determine their service function levels. An interactive analysis using the bivariate Moran index is used to determine the current state of supply and demand for places of refuge, in terms of their service functions and population distribution. It also makes recommendations for optimisation, based on the extent to which the service function of the emergency shelter is coordinated with the distribution of the population. The results show that of the 54 emergency shelters in the central city of Songyuan, the low and medium service function levels are divided into 33 and 15, with problems such as unreasonable spatial layout and inadequate emergency supplies and medical resources. The future construction of emergency shelters should focus not only on increasing the number and improving the scale, but also on considering the characteristics of population distribution, optimising the spatial distribution pattern and making full use of existing resources such as parks, squares and schools. The establishment of composite spatial resources for disaster preparedness and the promotion of a government-led model of interconnected shelter and emergency infrastructure can effectively enhance the spatial resilience of cities in response to natural hazards.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:9:p:7283-:d:1134408
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    References listed on IDEAS

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    1. Wei Chen & Guofang Zhai & Chongqiang Ren & Yijun Shi & Jianxin Zhang, 2018. "Urban Resources Selection and Allocation for Emergency Shelters: In a Multi-Hazard Environment," IJERPH, MDPI, vol. 15(6), pages 1-17, June.
    2. Pérez-Galarce, Francisco & Canales, Linda J. & Vergara, Claudio & Candia-Véjar, Alfredo, 2017. "An optimization model for the location of disaster refuges," Socio-Economic Planning Sciences, Elsevier, vol. 59(C), pages 56-66.
    3. Yijun Shi & Guofang Zhai & Lihua Xu & Quan Zhu & Jinyang Deng, 2019. "Planning Emergency Shelters for Urban Disasters: A Multi-Level Location–Allocation Modeling Approach," Sustainability, MDPI, vol. 11(16), pages 1-19, August.
    4. Yilun Cao & Yuhan Guo & Chang Wang & Yunyuan Li, 2022. "Evaluation and Optimization of Refuge Green Space in the Central Area of Tianjin for Geological Disasters," Sustainability, MDPI, vol. 14(23), pages 1-25, November.
    5. 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.
    6. Pengyu Chen, 2019. "A Novel Coordinated TOPSIS Based on Coefficient of Variation," Mathematics, MDPI, vol. 7(7), pages 1-17, July.
    7. Shaoqing Geng & Hanping Hou, 2021. "Demand Stratification and Prediction of Evacuees after Earthquakes," Sustainability, MDPI, vol. 13(16), pages 1-22, August.
    8. Qian Wang & Qi-peng Zhang & Yang-yang Liu & Lin-jing Tong & Yan-zhen Zhang & Xiao-yu Li & Jian-long Li, 2020. "Characterizing the spatial distribution of typical natural disaster vulnerability in China from 2010 to 2017," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 100(1), pages 3-15, January.
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    Cited by:

    1. Hong Jiao & Shining Feng, 2024. "Towards Resilient Cities: Optimizing Shelter Site Selection and Disaster Prevention Life Circle Construction Using GIS and Supply-Demand Considerations," Sustainability, MDPI, vol. 16(6), pages 1-22, March.
    2. 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.

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