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Two-Step Optimization for Spatial Accessibility Improvement: A Case Study of Health Care Planning in Rural China

A recent advancement in location-allocation modeling formulates a two-step approach to a new problem of minimizing disparity of spatial accessibility. Our field work in a health care planning project in a rural county in China indicated that residents valued distance or travel time from the nearest...

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Detalles Bibliográficos
Autores principales: Luo, Jing, Tian, Lingling, Luo, Lei, Yi, Hong, Wang, Fahui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5412212/
https://www.ncbi.nlm.nih.gov/pubmed/28484707
http://dx.doi.org/10.1155/2017/2094654
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author Luo, Jing
Tian, Lingling
Luo, Lei
Yi, Hong
Wang, Fahui
author_facet Luo, Jing
Tian, Lingling
Luo, Lei
Yi, Hong
Wang, Fahui
author_sort Luo, Jing
collection PubMed
description A recent advancement in location-allocation modeling formulates a two-step approach to a new problem of minimizing disparity of spatial accessibility. Our field work in a health care planning project in a rural county in China indicated that residents valued distance or travel time from the nearest hospital foremost and then considered quality of care including less waiting time as a secondary desirability. Based on the case study, this paper further clarifies the sequential decision-making approach, termed “two-step optimization for spatial accessibility improvement (2SO4SAI).” The first step is to find the best locations to site new facilities by emphasizing accessibility as proximity to the nearest facilities with several alternative objectives under consideration. The second step adjusts the capacities of facilities for minimal inequality in accessibility, where the measure of accessibility accounts for the match ratio of supply and demand and complex spatial interaction between them. The case study illustrates how the two-step optimization method improves both aspects of spatial accessibility for health care access in rural China.
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spelling pubmed-54122122017-05-08 Two-Step Optimization for Spatial Accessibility Improvement: A Case Study of Health Care Planning in Rural China Luo, Jing Tian, Lingling Luo, Lei Yi, Hong Wang, Fahui Biomed Res Int Research Article A recent advancement in location-allocation modeling formulates a two-step approach to a new problem of minimizing disparity of spatial accessibility. Our field work in a health care planning project in a rural county in China indicated that residents valued distance or travel time from the nearest hospital foremost and then considered quality of care including less waiting time as a secondary desirability. Based on the case study, this paper further clarifies the sequential decision-making approach, termed “two-step optimization for spatial accessibility improvement (2SO4SAI).” The first step is to find the best locations to site new facilities by emphasizing accessibility as proximity to the nearest facilities with several alternative objectives under consideration. The second step adjusts the capacities of facilities for minimal inequality in accessibility, where the measure of accessibility accounts for the match ratio of supply and demand and complex spatial interaction between them. The case study illustrates how the two-step optimization method improves both aspects of spatial accessibility for health care access in rural China. Hindawi 2017 2017-04-18 /pmc/articles/PMC5412212/ /pubmed/28484707 http://dx.doi.org/10.1155/2017/2094654 Text en Copyright © 2017 Jing Luo et al. https://creativecommons.org/licenses/by/4.0/ 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.
spellingShingle Research Article
Luo, Jing
Tian, Lingling
Luo, Lei
Yi, Hong
Wang, Fahui
Two-Step Optimization for Spatial Accessibility Improvement: A Case Study of Health Care Planning in Rural China
title Two-Step Optimization for Spatial Accessibility Improvement: A Case Study of Health Care Planning in Rural China
title_full Two-Step Optimization for Spatial Accessibility Improvement: A Case Study of Health Care Planning in Rural China
title_fullStr Two-Step Optimization for Spatial Accessibility Improvement: A Case Study of Health Care Planning in Rural China
title_full_unstemmed Two-Step Optimization for Spatial Accessibility Improvement: A Case Study of Health Care Planning in Rural China
title_short Two-Step Optimization for Spatial Accessibility Improvement: A Case Study of Health Care Planning in Rural China
title_sort two-step optimization for spatial accessibility improvement: a case study of health care planning in rural china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5412212/
https://www.ncbi.nlm.nih.gov/pubmed/28484707
http://dx.doi.org/10.1155/2017/2094654
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