基于POI的城市功能区混合度识别研究

Research on the identification of urban functional area mixing degree based on POI

基于POI(Point of Interest)数据、路网数据、城镇建设用地分类数据与城市功能分区相关理论相结合,以徐州市新沂市城区为研究对象,对POI数据进行筛选与分类,构建“空间—影响力”二元权重计算模型以量化POI属性,在路网精细化网格尺度下,依据熵来计算地块中城市用地的混乱程度,通过对各街区POI数据点密度之间进行量化分析,实现了新沂市核心城区功能区的划分和识别。将实验结果与新沂市现有城市用地地图进行对比,证明该方法现实可行。

Based on the combination of POI(Point of Intersection)data,road network data,urban construction land classification data and urban functional zoning theory,this paper selects and classifies the POI data in Xinyi City of Xuzhou City,and constructs a“space influence”binary weight calculation model to quantify the POI attribute,under the refined grid scale of road network,the degree of confusion of urban land in the plot is calculated according to entropy.Through quantitative analysis of the density of POI data points in each block,the division and identification of functional areas in the core urban area of Xinyi City are realized.The experimental results are compared with the existing urban land map of Xinyi City,which proves that the method is feasible.