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Multidimensional Spatial Match of Hierarchical Healthcare Facilities Considering Floating Population: A Case of Beijing, China

Author

Listed:
  • Xingfei Cai

    (Institute of Photogrammetry and Remote Sensing, Chinese Academy of Surveying & Mapping, Beijing 100036, China)

  • Hao Wang

    (Institute of Photogrammetry and Remote Sensing, Chinese Academy of Surveying & Mapping, Beijing 100036, China)

  • Xiaogang Ning

    (Institute of Photogrammetry and Remote Sensing, Chinese Academy of Surveying & Mapping, Beijing 100036, China)

  • Qiyong Du

    (Guangzhou Urban Planning Survey and Design Institute, Guangzhou 510060, China)

  • Peng Jia

    (School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China
    International Institute of Spatial Lifecourse Epidemiology (ISLE), Wuhan University, Wuhan 430079, China)

Abstract

Good health and well-being are key to achieving the main goals of the UN Sustainable Development Goals (SDGs), especially after the outbreak of the COVID-19 epidemic. What is a concern for both government and society is how to understand the spatial match of hierarchical healthcare facilities and residential areas in terms of quantity and capacity, to meet the challenges of various diseases and build a healthy life. Using hierarchical healthcare data and cellphone signaling data in Beijing, China, we used the kernel density estimation, a bivariate spatial autocorrelation model, and a coupling index to explore the spatial relationships between hierarchical healthcare facilities and residential areas. We found large numbers of both healthcare facilities and residential areas in the urban center, and small numbers of both at the urban edge. The hospitals and designated retail pharmacies in the densely populated areas do not have enough capacity to meet the need of the population. In addition, the capacity of primary healthcare institutions can meet people’s needs. Our findings would serve as a reference for urban planning, optimization of hierarchical healthcare facilities, and research on similar themes.

Suggested Citation

  • Xingfei Cai & Hao Wang & Xiaogang Ning & Qiyong Du & Peng Jia, 2022. "Multidimensional Spatial Match of Hierarchical Healthcare Facilities Considering Floating Population: A Case of Beijing, China," Sustainability, MDPI, vol. 14(3), pages 1-18, January.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1092-:d:727650
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