Two-Step Optimization for Spatial Accessibility Improvement: A Case Study of Health Care Planning in Rural China.
Two-Step Optimization for Spatial Accessibility Improvement: A Case Study of Health Care Planning in Rural China.
复制标题
改善空间可达性的两步优化：中国农村卫生保健规划案例研究
DOI：
10.1155/2017/2094654
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发表时间：
2017
影响因子：
--
通讯作者：
Wang F
中科院分区：
文献类型：
--
作者：
Luo J;Tian L;Luo L;Yi H;Wang F
位置分配模型的最新进展制定了一个两步的方法来最大限度地减少空间可达性差异的新问题。我们在中国一个农村县的卫生保健规划项目中的实地工作表明，居民最看重的是距离或距离最近的医院的旅行时间，然后考虑医疗质量，包括更少的等待时间作为次要的愿望。在案例研究的基础上，本文进一步阐明了序贯决策方法，称为“两步优化空间可达性改善（2SO4SAI）”。第一步是寻找新设施的最佳地点，强调无障碍性，即接近最近的设施，同时考虑若干备选目标。第二步是调整设施的容量，使可达性的不平等最小化，其中可达性的衡量标准是供需的匹配率和它们之间复杂的空间相互作用。案例研究说明了两步优化方法如何改善中国农村医疗卫生服务空间可达性的两个方面。
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.