Resources Science ›› 2019, Vol. 41 ›› Issue (8): 1488-1499.doi: 10.18402/resci.2019.08.09

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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 E-mail:uuy828@163.com

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