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李俊, 牛黎光, 周玲. 空间可达性视角下安徽省医疗资源缺乏的单元识别[J]. 安徽工业大学学报社会科学版, 2018, 35(5): 29-32. DOI: 10.3969/j.issn.1671-9247.2018.05.007
引用本文: 李俊, 牛黎光, 周玲. 空间可达性视角下安徽省医疗资源缺乏的单元识别[J]. 安徽工业大学学报社会科学版, 2018, 35(5): 29-32. DOI: 10.3969/j.issn.1671-9247.2018.05.007
LI Jun, NIU Li-guang, ZHOU Ling. Recognition of Areas Lacking Medical Resource in Anhui Province from the Perspective of Spatial Accessibility[J]. Journal of Anhui University of Technology(Social Sciences), 2018, 35(5): 29-32. DOI: 10.3969/j.issn.1671-9247.2018.05.007
Citation: LI Jun, NIU Li-guang, ZHOU Ling. Recognition of Areas Lacking Medical Resource in Anhui Province from the Perspective of Spatial Accessibility[J]. Journal of Anhui University of Technology(Social Sciences), 2018, 35(5): 29-32. DOI: 10.3969/j.issn.1671-9247.2018.05.007

空间可达性视角下安徽省医疗资源缺乏的单元识别

Recognition of Areas Lacking Medical Resource in Anhui Province from the Perspective of Spatial Accessibility

  • 摘要: 利用空间可达性识别省域缺医地区是省域医疗规划的基础,从时间成本角度出发,用两步移动搜索法(2SFCA)计算空间可达性,界定相对贫困并识别缺医地区。以2015年安徽为例,结果表明:从省域尺度看,超过97%的人口在1小时以内能到达县医院,但仍有1.78%人口在3小时以上,可达性从北到南高低交替呈波状分布;从县域尺度、镇域尺度看,可达性高低分布不均衡。

     

    Abstract: Using spatial accessibility to recognize areas lacking medical resource is the basis of provincial medical panning. From the perspective of time cost, this paper calculates the spatial accessibility by using Two Step Floating Catchment Area (2SFCA), so as to define the relatively poor areas and recognize the areas lacking medical resource. Taking Anhui Province in 2015 as an example, results of this paper show that from the provincial scale, the accessibility is alternately wavy from north to south, and more than 97% of the population can reach the county hospital within an hour, but 1.78% of the population (about 1.09 million people) can't reach the county hospital within 3 hours. However, the distribution of accessibility is not balanced from county scale and town scale.

     

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