Abstract:

Basing on the kernel density estimation method, the local Getis-Ord G* index method and the nearest neighbor index analysis method. Using retail business points of interest (POI) data to analyze the spatial distribution of retail business hotspots and the evolution characteristics of business clusters under three time nodes in Wuhan, and explore its driving mechanism. The research shows that: 1) The central urban area has a trend of multi-core development, with low-density spots clustering in the remote urban areas, and commercial spots spreading radially from the main hotspots. 2) The area and number of hot spots in Wuhan have increased significantly. The primary and secondary hotspots increased from 71km² to 168km² in 13 years, and the number of primary hotspots increased from 7 to 10.3) The agglomeration degree and development trend of various retail formats have certain differences. In addition to the decreasing trend in the concentration of medical and medical device formats, the concentration of other five retail formats has increased to varying degrees.4) The formation and evolution of Wuhan's retail business hotspots are the result of human-land relationship interaction. Location historical conditions, improved transportation networks, government land use policies, and tourism resource development, jointly influence the formation and evolution of Wuhan's retail business hotspots.

Key words: retail hot spots, evolution, driving mechanism, POI, Wuhan

摘要：

基于核密度估计法、最邻近指数分析法以及局域Getis-Ord G^*指数法，利用零售商业兴趣点（POI）数据，分析武汉市三个时间节点下的零售商业热点区的空间分布及业态集聚的演变特征，并探讨其驱动机制。研究表明：1）中心城区具有多核发展趋势，远城区低密度点状集聚，商业点由主热点区呈放射型面状扩散；2）武汉市热点区面积与数量增长显著。主次热点13年间由71km²增长到168km²，主热点区由7个增加到10个；3）各零售业态的集聚程度发展具有一定差异性。除医药及医疗器材类业态集聚程度呈降低趋势，其他五类零售业态的聚集程度均有不同程度的提升；4）武汉市零售商业热点区的形成及演变是人地关系互动的结果，区位历史条件、交通网络、政府用地政策、旅游资源开发等多种因素合力影响武汉市零售商业的热点形成及演变。

关键词: 零售业热点区, 演变, 驱动机制, POI, 武汉市