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Quantitative Evaluation of Spatial Accessibility of Various Urban Medical Services Based on Big Data of Outpatient Appointments

Author

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  • Jinling Sui

    (Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Guoqin Zhang

    (Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China)

  • Tao Lin

    (Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
    Xiamen Key Laboratory of Smart Management on the Urban Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China)

  • Nicholas A. S. Hamm

    (School of Geographical Sciences, University of Nottingham, Ningbo 315100, China)

  • Chunlin Li

    (CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China)

  • Xian Wu

    (Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
    Xiamen Key Laboratory of Smart Management on the Urban Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China)

  • Kaiqun Hu

    (Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China)

Abstract

Equity of urban medical services affects human health and well-being in cities and is important in building ‘just’ cities. We carried out a quantitative analysis of the spatial accessibility of medical services considering the diverse demands of people of different ages, using outpatient appointment big data and refining the two-step floating catchment area (2SFCA) method. We used the traditional 2SFCA method to evaluate the overall spatial accessibility of medical services of 504 communities in Xiamen city, considering the total population and the supply of medical resources. Approximately half the communities had good access to medical services. The communities with high accessibility were mainly on Xiamen Island, and those with low accessibility were further from the central city. The refined 2SFCA method showed a more diverse and complex spatial distribution of accessibility to medical services. Overall, 209 communities had high accessibility to internal medicine services, 133 to surgery services, 50 to gynecology and obstetrics services, and 18 to pediatric services. The traditional method may over-evaluate or under-evaluate the accessibility of different types of medical services for most communities compared with the refined evaluation method. Our study can provide more precise information on urban medical service spatial accessibility to support just city development and design.

Suggested Citation

  • Jinling Sui & Guoqin Zhang & Tao Lin & Nicholas A. S. Hamm & Chunlin Li & Xian Wu & Kaiqun Hu, 2023. "Quantitative Evaluation of Spatial Accessibility of Various Urban Medical Services Based on Big Data of Outpatient Appointments," IJERPH, MDPI, vol. 20(6), pages 1-18, March.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:6:p:5050-:d:1095865
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    References listed on IDEAS

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    Cited by:

    1. Jinling Sui & Tao Lin & Guoqin Zhang & Hong Ye & Meixia Lin & Hongkai Geng & Yukui Zhang, 2023. "Equity and Driving Factors of Medical Service Supply–Demand Balance for the Elderly in Rapidly Urbanized Communities Based on Big Data Analysis—A Case Study of Xiamen City," Sustainability, MDPI, vol. 15(10), pages 1-16, May.

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