Spatial Distribution Balance Analysis of Hospitals in Wuhan

Nai Yang, Shiyi Chen, Weilu Hu, Zhongheng Wu and Yi Chao
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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

IJERPH, 2016, vol. 13, issue 10, 1-16

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.

Keywords: hospital; accessibility; spatial distribution; Huff model; multi-criteria evaluation (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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