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Measuring Spatial Accessibility of Urban Medical Facilities: A Case Study in Changning District of Shanghai in China

Author

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  • Min Cheng

    (School of Management, Shanghai University, 333 Nanchen Road, Baoshan District, Shanghai 200444, China)

  • Li Tao

    (School of Management, Shanghai University, 333 Nanchen Road, Baoshan District, Shanghai 200444, China)

  • Yuejiao Lian

    (School of Management, Shanghai University, 333 Nanchen Road, Baoshan District, Shanghai 200444, China)

  • Weiwei Huang

    (School of Management, Shanghai University, 333 Nanchen Road, Baoshan District, Shanghai 200444, China)

Abstract

Medical facilities help to ensure a higher quality of life and improve social welfare. The spatial accessibility determines the allocation fairness and efficiency of medical facilities. It also provides information about medical services that residents can share. Although critical, scholars often overlooked the level of medical facilities, the composition of integrated transportation networks, and the size of service catchment in the literature on accessibility. This study aims to fill this research gap by considering the integrated transportation network, population scale, travel impedance between medical facilities and residential areas, and the impact of medical facilities’ levels on residents’ medical choices. An improved potential model was constructed to analyze the spatial accessibility of medical facilities in Changning District of Shanghai, China. Interpolation analysis was conducted to reveal the spatial accessibility pattern. Cluster and outlier analysis and Getis-Ord G i * analysis were applied for the cluster analysis. Results show that the spatial accessibility of medical facilities is quite different in different residential areas of Changning District, Shanghai. Among them, the spatial accessibility of medical facilities is relatively high in Hongqiao subdistrict, Xinjing Town, and part of Xinhua Road subdistrict. In addition, residents have overall better access to secondary hospitals than to primary and tertiary hospitals in the study area. This study provides a spatial decision support system for urban planners and policymakers regarding improving the accessibility of healthcare facilities. It extends the literature on spatial planning of public facilities and could facilitate scientific decision making.

Suggested Citation

  • Min Cheng & Li Tao & Yuejiao Lian & Weiwei Huang, 2021. "Measuring Spatial Accessibility of Urban Medical Facilities: A Case Study in Changning District of Shanghai in China," IJERPH, MDPI, vol. 18(18), pages 1-18, September.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:18:p:9598-:d:633892
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    References listed on IDEAS

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    Cited by:

    1. Zijing Ye & Ruisi Li & Jing Wu, 2022. "Dynamic Demand Evaluation of COVID-19 Medical Facilities in Wuhan Based on Public Sentiment," IJERPH, MDPI, vol. 19(12), pages 1-22, June.
    2. Ying Liu & Han Gu & Yuyu Shi, 2022. "Spatial Accessibility Analysis of Medical Facilities Based on Public Transportation Networks," IJERPH, MDPI, vol. 19(23), pages 1-15, December.

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