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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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    1. Dominique Peeters & Isabelle Thomas, 2000. "Distance predicting functions and applied location-allocation models," Journal of Geographical Systems, Springer, vol. 2(2), pages 167-184, July.
    2. Yan Song & Yanping Chen & Xiaohong Pan, 2012. "Polycentric spatial structure and travel mode choice: the case of Shenzhen, China," Regional Science Policy & Practice, Wiley Blackwell, vol. 4(4), pages 479-493, November.
    3. Shihang Fu & Yaolin Liu & Ying Fang, 2021. "Measuring the Differences of Public Health Service Facilities and Their Influencing Factors," Land, MDPI, vol. 10(11), pages 1-15, November.
    4. Chen, Peng-Ting, 2018. "Medical big data applications: Intertwined effects and effective resource allocation strategies identified through IRA-NRM analysis," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 150-164.
    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.
    6. Withanachchi, Nimnath & Uchida, Yasuo & Nanayakkara, Shyama & Samaranayake, Dulani & Okitsu, Akiko, 2007. "Resource allocation in public hospitals: Is it effective?," Health Policy, Elsevier, vol. 80(2), pages 308-313, February.
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    Cited by:

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    3. 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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