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Spatial Distribution Balance Analysis of Hospitals in Wuhan

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 indica...

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Detalles Bibliográficos
Autores principales: Yang, Nai, Chen, Shiyi, Hu, Weilu, Wu, Zhongheng, Chao, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5086710/
https://www.ncbi.nlm.nih.gov/pubmed/27706069
http://dx.doi.org/10.3390/ijerph13100971
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author Yang, Nai
Chen, Shiyi
Hu, Weilu
Wu, Zhongheng
Chao, Yi
author_facet Yang, Nai
Chen, Shiyi
Hu, Weilu
Wu, Zhongheng
Chao, Yi
author_sort Yang, Nai
collection PubMed
description 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.
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spelling pubmed-50867102016-11-02 Spatial Distribution Balance Analysis of Hospitals in Wuhan Yang, Nai Chen, Shiyi Hu, Weilu Wu, Zhongheng Chao, Yi Int J Environ Res Public Health Article 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. MDPI 2016-09-30 2016-10 /pmc/articles/PMC5086710/ /pubmed/27706069 http://dx.doi.org/10.3390/ijerph13100971 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yang, Nai
Chen, Shiyi
Hu, Weilu
Wu, Zhongheng
Chao, Yi
Spatial Distribution Balance Analysis of Hospitals in Wuhan
title Spatial Distribution Balance Analysis of Hospitals in Wuhan
title_full Spatial Distribution Balance Analysis of Hospitals in Wuhan
title_fullStr Spatial Distribution Balance Analysis of Hospitals in Wuhan
title_full_unstemmed Spatial Distribution Balance Analysis of Hospitals in Wuhan
title_short Spatial Distribution Balance Analysis of Hospitals in Wuhan
title_sort spatial distribution balance analysis of hospitals in wuhan
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5086710/
https://www.ncbi.nlm.nih.gov/pubmed/27706069
http://dx.doi.org/10.3390/ijerph13100971
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