资源科学 ›› 2019, Vol. 41 ›› Issue (8): 1488-1499.doi: 10.18402/resci.2019.08.09

• 资源管理 • 上一篇    下一篇

城市健康资源与人口分布空间关联性——以长沙中心城区为例

冉钊1,2,周国华1,2(),张鸿辉3,唐承丽1,陈伟杨1   

  1. 1.湖南师范大学资源与环境科学学院,长沙 410081
    2.地理空间大数据挖掘与应用湖南省重点实验室,长沙 410081
    3.广东国地规划科技股份有限公司,广州 510650
  • 收稿日期:2019-04-02 修回日期:2019-07-22 出版日期:2019-08-28 发布日期:2019-08-21
  • 通讯作者: 周国华
  • 作者简介:冉钊,男,河南郑州人,硕士生,研究方向为城市与区域规划研究。E-mail: ranzhao118@163.com
  • 基金资助:
    国家自然科学基金项目(41871318)

Spatial correlation between urban health resources and population distribution:A case study of the central urban area of Changsha City

Zhao RAN1,2,Guohua ZHOU1,2(),Honghui ZHANG3,Chengli TANG1,Weiyang CHEN1   

  1. 1.College of Resources and Environmental Sciences, Hunan Normal University, Changsha 410081, China
    2.Key Laboratory of Geographic Big Data Development and Application, Hunan Normal University, Changsha 410081, China
    3.Guangdong Guodi Planning and Technology Co., Ltd., Guangzhou 510650, China
  • Received:2019-04-02 Revised:2019-07-22 Online:2019-08-28 Published:2019-08-21
  • Contact: Guohua ZHOU

摘要:

基于长沙市中心城区空间点数据、遥感影像面数据和统计年鉴数据,主要运用Ripley’k函数、协同区位商和两步移动搜索法等定量方法,从集聚性、邻近性和可达性3个方面研究长沙市健康资源与人口分布的空间关联特征。结果表明:①城市健康资源与人口分布整体上均表现出集聚特征,但多尺度下集聚规模和强度差异明显,间接反映出二者在空间布局协调性上有待提高。②城市健康资源与人口分布之间的邻近性较差,相互之间呈现出非邻近特征,表明二者在空间分布上趋向于远离对方,联系紧密程度较低,但不同类型健康资源与人口之间邻近程度也各不相同。③城市健康资源可达性在空间布局上属于中心-外围结构,然而城市健康资源可达性与人口密度分布在县区和街道尺度上均出现一定程度的不匹配状况,说明城市健康资源在供给和需求空间配置上存在错位问题。最后针对城市健康资源与人口分布之间存在的问题,从“协调布局、邻近规划、精准配置”等方面提出具体的优化调控路径。

关键词: 城市健康资源, 协同区位商, 两步移动搜索法, 人口分布, 空间关联性, 中心城区, 长沙市

Abstract:

Based on points of interest, remote sensing, and statistical data of the central urban area of Changsha City, this study analyzed the correlation of the aggregation, proximity, and accessibility of urban health resources and population by using Ripley’s k function, colocation quotient, and two-step floating catchment area methods. The results show that: (1) The spatial distribution of urban health resources and population showed clustering characteristics, but there were significant differences in the scale and intensity of agglomeration at different scales, indicating that the coordination of spatial distribution between urban health resources and population needs to be improved. (2) The correlation of proximity between urban health resources and population distribution is poor, showing a non-linear relationship. Urban health resources and population distribution tend to be far away from each other, but the proximity between different types of health resources and the population is different. (3) Accessibility of urban health resources showed a center-periphery structure spatially. However, urban health resource accessibility and population density distribution indicate a mismatch of supply and demand of health resources. Finally, in order to address the problems existing between urban health resource provision and population distribution, specific optimization and adjustments were recommended, focusing on “coordinating the layout, improving proximity, and precision allocation.”

Key words: urban health resources, colocation quotient, two-step floating catchment area method, population distribution, spatial correlation, central urban area, Changsha City