HUBEI AGRICULTURAL SCIENCES ›› 2022, Vol. 61 ›› Issue (11): 193-200.doi: 10.14088/j.cnki.issn0439-8114.2022.11.037

• Economy & Management • Previous Articles     Next Articles

Research on the spatial pattern of public service facilities in Kunming City

DING Wei1, LUO Hua-song1,2, HONG Ju-hua1,2, GAO Da-shuai1,2, XU Yuan-yue1   

  1. 1. Faculty of Geography, Yunnan Normal University, Kunming 650500,China;
    2. Collaborative Innovation Center for Geo-Environment and Frontier Development in Southwest China, Kunming 650500,China
  • Received:2021-04-03 Online:2022-06-10 Published:2022-07-06

Abstract: As a scenic line of the city, public service facilities play an important role in the development of the urban economy. The POI data of Kunming City were obtained through the open platform of Gaode map, the spatial distribution pattern of public service facilities in Kunming City was discussed by using the methods of kernel density analysis and standard deviation ellipse analysis, combined with ArcGIS 10.2 software, and the POI entropy index of public service facilities in Kunming City was calculated. The result showed that the area with the highest POI density of public service facilities in Kunming City was Wuhua district, and the area with the lowest POI density was Luquan Yi and Miao autonomous county. The overall public service facilities in Kunming City presented a spatial distribution pattern of “one core, two axes and multi-poles” and a spatial distribution pattern of “more and dense in the south and less and sparse in the north”. There were three spatial aggregation modes in various types of public service facilities in Kunming City, such as single-core, dual-core,and multi-core, which were roughly spatially distributed in the direction of “southwest—northeast” the degree of urban function mix in Kunming City was spatially distributed as “center-edge”. Population structure, economic development level and income status were important factors that affected the spatial layout of public service facilities. Finally, three upgrade paths were proposed for public service facilities in Kunming City.

Key words: public service facilities, nuclear density analysis, POI, Kunming City

CLC Number: