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Spatial Distribution Balance Analysis of Hospitals in Wuhan

Author

Listed:
  • Nai Yang

    (Faculty of Information Engineering, China University of Geosciences, 388 Lumo Road, Wuhan 430074, China)

  • Shiyi Chen

    (Faculty of Information Engineering, China University of Geosciences, 388 Lumo Road, Wuhan 430074, China)

  • Weilu Hu

    (Faculty of Information Engineering, China University of Geosciences, 388 Lumo Road, Wuhan 430074, China)

  • Zhongheng Wu

    (NavInfo Co., Ltd., F16-17, TowerA, Beijing Phoenix Place, A-5, Shuguang Xili, Chaoyang District, Beijing 100028, China)

  • Yi Chao

    (Faculty of Information Engineering, China University of Geosciences, 388 Lumo Road, Wuhan 430074, China)

Abstract

The spatial distribution pattern of hospitals in Wuhan indicates a core in the central urban areas and a sparse distribution in the suburbs, particularly at the center of suburbs. This study aims to improve the gravity and Huff models to analyze healthcare accessibility and resources. Results indicate that healthcare accessibility in central urban areas is better than in the suburbs, where it increasingly worsens for the suburbs. A shortage of healthcare resources is observed in large-scale and high-class hospitals in central urban areas, whereas the resources of some hospitals in the suburbs are redundant. This study proposes the multi-criteria evaluation (MCE) analysis model for the location assessment in constructing new hospitals, which can effectively ameliorate healthcare accessibility in suburban areas. This study presents implications for the planning of urban healthcare facilities.

Suggested Citation

  • Nai Yang & Shiyi Chen & Weilu Hu & Zhongheng Wu & Yi Chao, 2016. "Spatial Distribution Balance Analysis of Hospitals in Wuhan," IJERPH, MDPI, vol. 13(10), pages 1-16, September.
  • Handle: RePEc:gam:jijerp:v:13:y:2016:i:10:p:971-:d:79717
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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.
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    Cited by:

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    2. Hong Xu & Jin Zhao & Xincan Yu, 2023. "A Community-Oriented Accessibility Index of Public Health Service Facilities: A Case Study of Wuchang District, Wuhan, China," Sustainability, MDPI, vol. 15(14), pages 1-21, July.
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