基于POI数据的城市功能区识别及混合度计算

IDENTIFICATION OF URBAN FUNCTIONAL AREAS AND CALCULATION OF FUNCTIONAL MIX USINGPOI DATA

针对城市功能区识别现状,将传统功能区识别研究与大数据进行有机结合,以合肥市主城区为研究对象,以POI数据为基础,对它进行预处理并赋予相应指标权重,运用频数密度、类型比例以及绝对信息熵研究方法,对单位网格内城市用地功能进行识别,并在此基础上计算城市用地功能混合度。研究结果表明,合肥市主城区功能用地在整体上呈现“中心+放射状”的空间布局形式;商服、居住、道路设施以及公共服务设施用地均呈现出相对聚集的密度分布核心,工业和绿地广场用地呈现分散分布的空间特征;混合用地多集中于城区中心,由中心向外用地功能混合度逐渐降低,用地集约性逐渐减弱。经过对比检验,整体识别结果较好。研究可为提升城市用地集约化发展、促进城市用地混合利用提供理论参考和实践基础。

The current state of urban functional area identification involves integrating traditional research methods with big data.Taking the central urban area of Hefei as the study object and using POI(Points of Interest)data as the basis,this study preprocesses the data and assigns coresponding weights to various indicators.By applying methods such as frequency density,type proportion,and absolute information entropy,the study identifies the urban land functions within unit grids and calculates the functional mix of urban land.The results show that the functional land use in the central area of Hefei presents an overall'central+radial'spatial layout.Commercial,residential,road fa-cilities,and public service facilities exhibit relatively concentrated density distribution cores,while industrial and green space land uses show dispersed spatial characteristics.Mixed-use areas are primarily concentrated in the city center,with a gradual decrease in functional mix and land intensity as one moves outward from the center.Compara-tive tests indicate that the overall identification results are satisfactory.This research provides theoretical references and practical foundations for enhancing the intensive development of urban land and promoting mixed land use in cities.