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Evaluation of Medical Carrying Capacity for Megacities from a Traffic Analysis Zone View: A Case Study in Shenzhen, China

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  • Jiansheng Wu

    (Key Laboratory for Urban Habitat Environmental Science and Technology, School of Urban Planning and Design, Peking University, Shenzhen 518055, China
    Key Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China)

  • Tengyun Yi

    (Key Laboratory for Urban Habitat Environmental Science and Technology, School of Urban Planning and Design, Peking University, Shenzhen 518055, China)

  • Han Wang

    (Key Laboratory for Urban Habitat Environmental Science and Technology, School of Urban Planning and Design, Peking University, Shenzhen 518055, China
    Key Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China)

  • Hongliang Wang

    (School of Public Administration, Inner Mongolia University, Hohhot 010070, China)

  • Jiayi Fu

    (Key Laboratory for Urban Habitat Environmental Science and Technology, School of Urban Planning and Design, Peking University, Shenzhen 518055, China)

  • Yuhao Zhao

    (Key Laboratory for Urban Habitat Environmental Science and Technology, School of Urban Planning and Design, Peking University, Shenzhen 518055, China
    Key Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China)

Abstract

Sustainable Development Goals propose to build inclusive, safe, resilient, and sustainable cities and human settlements, which requires us to scientifically evaluate the carrying capacity of current urban public service facilities, but there is still a lack of in-depth exploration of urban public medical service facilities. Therefore, this paper, within the mobile phone signaling data, improved the potential model and carrying capacity evaluation model of public medical facilities, explored the spatial pattern distribution of public medical resources in Shenzhen, and analyzed the current situation of carrying capacity of public medical resources. The study showed that: (1) the overall spatial distribution of public medical resources in Shenzhen is uneven, showing a pattern of multicenter aggregation and multilevel development; (2) the service potential of public medical facilities has obvious spatial variations, with Futian District, Dapeng New District, and Nanshan District showing more obvious high-gravitational-value aggregation centers; (3) medical facilities in Shenzhen are never empty, but the problems of medical underloading and overloading are severe, and spatial allocation and utilization efficiency need to be further optimized. The research results can provide a scientific basis for the research on the allocation and sustainable construction of medical resources in megacities.

Suggested Citation

  • Jiansheng Wu & Tengyun Yi & Han Wang & Hongliang Wang & Jiayi Fu & Yuhao Zhao, 2022. "Evaluation of Medical Carrying Capacity for Megacities from a Traffic Analysis Zone View: A Case Study in Shenzhen, China," Land, MDPI, vol. 11(6), pages 1-19, June.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:6:p:888-:d:836606
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    References listed on IDEAS

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    5. Dahao Zhang & Guojun Zhang & Chunshan Zhou, 2021. "Differences in Accessibility of Public Health Facilities in Hierarchical Municipalities and the Spatial Pattern Characteristics of Their Services in Doumen District, China," Land, MDPI, vol. 10(11), pages 1-17, November.
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    Cited by:

    1. Shiwei Lu & Yaping Huang & Xiaoqing Wu & Yichen Ding, 2022. "Evaluation, Recognition and Implications of Urban–Rural Integration Development: A Township-Level Analysis of Hanchuan City in Wuhan Metropolitan Area," Land, MDPI, vol. 12(1), pages 1-18, December.
    2. Xiaoli Shi & Ying Chen & Menghan Xia & Yongli Zhang, 2022. "Effects of the Talent War on Urban Innovation in China: A Difference-in-Differences Analysis," Land, MDPI, vol. 11(9), pages 1-22, September.
    3. Chengshuang Sun & Ke Zhou & Guangxia Li & Weina Zhu & Dongjun Wan, 2025. "Spatio-temporal dynamics of urban medical system carrying capacity and their obstacle factors: A case study of Yangtze River Delta urban agglomeration," PLOS ONE, Public Library of Science, vol. 20(4), pages 1-22, April.
    4. David Jung-Hwi Lee & Jean-Michel Guldmann, 2023. "Optimal Regional Allocation of Future Population and Employment under Urban Boundary and Density Constraints: A Spatial Interaction Modeling Approach," Land, MDPI, vol. 12(2), pages 1-33, February.

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