太原市住宅区与零售业关联分析——POI应用示例

为对太原市的住宅区与零售业的空间关联性进行研究,以太原市六区为研究对象,基于住宅区和零售业兴趣点(POI)数据,采用核密度估计、相关性分析方法对住宅区与零售业在空间布局上的关联性进行探究,并进一步运用地统计学中的趋势分析估算住宅价格与零售业布局之间的空间关系。结果表明,太原市住宅区与零售业在空间上的布局形式都表现为太原市中心连片集聚、市外围多出现“孤岛”点状集聚的空间分布态势;太原市住宅区与零售业的核密度相关系数为0.878,其中住宅区与便利店在空间上的相关性和集聚性较强,与超市、商场商厦的相关性和集聚性较差;太原市房价的空间分布形态为“一个中心,多个次中心”,这种分布符合零售业的空间密度分布规律。这说明可以针对不同的居住空间情况来实施零售业的规划,以便于优化太原市的商住空间布局,促进城市的可持续发展。

In order to study the spatial correlation between residential areas and retail industry in Taiyuan City,this paper takes the six districts of Taiyuan City as the research object.Based on the POI data of residential areas and retail industry,the kernel density estimation and correlation analysis methods are used to explore the spatial correlation between residential areas and retail industry,and the trend analysis in geostatistics is further used to estimate the spatial relationship between residential prices and retail industry layout.The results show that:The spatial layout of residential areas and retail industry in Taiyuan is as follows:the center of Taiyuan is contiguous and the periphery of the city is mostly"isolated"point-like agglomeration.The correlation coefficient of nuclear density between residential area and retail industry in Taiyuan is 0.878.The residential area has a strong spatial correlation and agglomeration with convenience stores,and has a poor spatial correlation and agglomeration with supermarkets and shopping malls.The spatial distribution pattern of housing prices in Taiyuan is'one center,multiple sub-centers',which conforms to the spatial density distribution law of retail industry.This shows that the planning of retail industry can be carried out according to different living space conditions,so as to optimize the layout of commercial and residential space in Taiyuan and promote the sustainable development of the city.