摘要
以天津市中心城区为研究对象,基于丰富的OSM道路网数据、POI大数据在精细化尺度下进行功能区识别:利用OSM道路网数据生成道路空间将天津市中心城区划分成1960个研究单元,结合权重赋分的POI数据分析其密度分布以及功能区分布特征。研究结果表明:(1)在城市功能密度分布中,除工业功能在中心城区外围有集中分布以外,其他城市功能的分布都呈现出从中心向外围逐渐分散的特征;(2)单一功能区中,商业区和公共管理与公共服务区所占比重较大,其他4个单一功能区所占比重较小;(3)混合功能区中,以商业—公共管理与公共服务为主的混合功能区所占比重最大;(4)将功能区识别结果与高德地图对比分析,发现识别结果准确性较高。
The central urban area of Tianjin is taken as the research object.Based on the abundant OSM road network data and POI big data,functional area identification is carried out at the fine scale.The road space generated by OSM road network data is used to divide the central urban area of Tianjin into 1960 research units.The density distribution and functional area distribution characteristics are analyzed by combining the POI data with weight assignment.The research results show that:(1)In the distribution of urban function density,except for the concentrated distribution of industrial functions in the periphery of the central city,the distribution of other urban functions shows the characteristics of gradual dispersion from the center to the periphery;(2)In a single functional area,commercial areas and public management and public service areas account for a relatively large proportion,while the other four single functional areas account for a small proportion;(3)Among the mixed functional areas,the mixed functional area mainly composed of business-public management and public services has the largest proportion;(4)Comparing the recognition results of functional areas with the Amap,it is found that the accuracy of the recognition results of urban functional areas is relatively high.
作者
李娜
吴凯萍
Li Na;Wu Kaiping(School of Economics and Management,Tianjin Chengjian University,Tianjin 300384,China)
出处
《遥感技术与应用》
CSCD
北大核心
2022年第6期1482-1491,共10页
Remote Sensing Technology and Application
基金
天津市艺术科学规划项目“天津市乡村文化旅游空间布局特征测度及优化路径研究”(B22024)。
关键词
POI大数据
城市功能区
分布特征
OSM道路网数据
POI big data
Urban functional area
Distribution characteristics
OSM road network data