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Spatial Disparities and Correlated Variables of Community Care Facility Accessibility in Rural Areas of China

Author

Listed:
  • Yang Yu

    (College of Urban and Environmental Science, Central China Normal University, Wuhan 430079, China)

  • Yijin Wu

    (College of Urban and Environmental Science, Central China Normal University, Wuhan 430079, China)

  • Xin Xu

    (College of Urban and Environmental Science, Central China Normal University, Wuhan 430079, China)

  • Yun Chen

    (College of Urban and Environmental Science, Central China Normal University, Wuhan 430079, China)

  • Xiaobo Tian

    (College of Urban and Environmental Science, Central China Normal University, Wuhan 430079, China)

  • Li Wang

    (College of Urban and Environmental Science, Central China Normal University, Wuhan 430079, China)

  • Siyun Chen

    (College of Urban and Environmental Science, Central China Normal University, Wuhan 430079, China)

Abstract

With the increasing aging of the world’s population, research on the equitable allocation of elderly care facilities has received increasing attention, but measuring the accessibility of community care facilities (CCFs) in rural areas has received little attention. In this study, which covered 7985 CCFs in 223,877 villages, we measured the accessibility of CCFs in rural areas of Hubei Province by using the nearest distance method. Based on the accessibility calculation, the spatial disparities and agglomeration characteristics of spatial accessibility were analyzed, and the correlated variables related to the accessibility were analyzed from both natural environment and socioeconomic aspects by employing a geographically weighted regression (GWR) model. Our results show that 87% of villages have a distance cost of less than 7121 m and 81% of townships have a distance cost of less than 5114 m; good spatial accessibility is present in the eastern and central regions, while poor spatial accessibility is shown in a small number of areas in the west. The results from the clustering analysis show that the hot spot areas are mainly clustered in the western mountainous areas and that the cold spot areas are mainly clustered around Wuhan city. We also observed that area, elevation, population aged 65 and above, and number of villages are significantly correlated with accessibility. The results of this study can be used to provide a reference for configuration optimization and layout planning of elderly care facilities in rural areas.

Suggested Citation

  • Yang Yu & Yijin Wu & Xin Xu & Yun Chen & Xiaobo Tian & Li Wang & Siyun Chen, 2021. "Spatial Disparities and Correlated Variables of Community Care Facility Accessibility in Rural Areas of China," Sustainability, MDPI, vol. 13(23), pages 1-14, December.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:23:p:13400-:d:694424
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    References listed on IDEAS

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    Cited by:

    1. Longduoqi A & Hang Ma & Mohan Wang & Biao Yang, 2022. "Research on Urban Community Elderly Care Facility Based on Quality of Life by SEM: Cases Study of Three Types of Communities in Shenzhen, China," Sustainability, MDPI, vol. 14(15), pages 1-23, August.
    2. Chen Li & Jiaji Wu & Yi Huang, 2023. "Spatial–Temporal Patterns and Coupling Characteristics of Rural Elderly Care Institutions in China: Sustainable Human Settlements Perspective," Sustainability, MDPI, vol. 15(4), pages 1-27, February.

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