基于POI的南昌市汽车服务业空间分布特征研究

Study on Spatial Characteristics of Urban Automobile Service Industry Based on POI Mining: A Case Study of Nanchang City

本文基于汽车服务业POI数据,运用核密度估计法和Ripley’s K函数法,对南昌市汽车服务业空间分布特征进行探讨.研究发现:?南昌市汽车服务业空间总体集聚于新城区,新城区内的汽车服务业沿交通干线布局,呈现连片蔓延的空间集聚形态;?汽车服务业整体上呈现出小聚集、大分散的分布格局,不同细分汽车服务业空间分布特征差异明显;?汽车服务业随空间尺度的增大而增加,集聚程度呈现出"先增后缓"的态势,各类汽车服务业空间分布表现出明显的尺度依赖性.

Based on the POI data of automobile service industry,this paper discusses the spatial distribution characteristics of automobile service industry in Nanchang city by using kernel density estimation method and Ripley’s K function method.The findings are as follows:1)the automobile service industry space in Nanchang is generally concentrated in the new urban area and scattered in the old urban area and the suburbs;The automobile service industry located in the new urban area is arranged along the traffic trunk,presenting the spatial agglomeration pattern of continuous spread.2)the overall automobile service industry presents a distribution pattern of"multi-core and multi-spot"with small aggregation and large dispersion;The spatial distribution features of automobile maintenance,automobile sales and automobile service are obviously different.3)the space of automobile service industry increases with the increase of spatial scale,and the degree of agglomeration shows a trend of"first increase,then slow".The spatial scale of feature is10.5 km,the spatial scale of industrial location selection is relatively wide,and various types of automobile service industry space show obvious scale dependence.