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Int. J. Environ. Res. Public Health 2016, 13(10), 971; doi:10.3390/ijerph13100971

Spatial Distribution Balance Analysis of Hospitals in Wuhan

Faculty of Information Engineering, China University of Geosciences, 388 Lumo Road, Wuhan 430074, China
NavInfo Co., Ltd., F16-17, TowerA, Beijing Phoenix Place, A-5, Shuguang Xili, Chaoyang District, Beijing 100028, China
Author to whom correspondence should be addressed.
Academic Editor: Derek Clements-Croome
Received: 11 August 2016 / Revised: 22 September 2016 / Accepted: 26 September 2016 / Published: 30 September 2016
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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. View Full-Text
Keywords: hospital; accessibility; spatial distribution; Huff model; multi-criteria evaluation hospital; accessibility; spatial distribution; Huff model; multi-criteria evaluation

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Yang, N.; Chen, S.; Hu, W.; Wu, Z.; Chao, Y. Spatial Distribution Balance Analysis of Hospitals in Wuhan. Int. J. Environ. Res. Public Health 2016, 13, 971.

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