基于POI数据空间聚集分析的城市多中心结构识别方法  

Urban polycentric structure recognition method based on POI data space aggregation analysis

作　　者：赵倩芳 刘刚[1,2] 付饶 李政 ZHAO Qian-fang;LIU Gang;FU Rao;LI Zheng(School of Earth Sciences,Chengdu University of Technology,Chengdu 610059,China;State Key Laboratory of Geological Disaster Prevention and Geological Environment Protection(Chengdu University of Technology),Chengdu 610059,China;Sichuan Institute of Territorial and Spatial Planning,Chengdu 610081,China)

机构地区：[1]成都理工大学地球科学学院,成都610059 [2]地质灾害防治与地质环境保护国家重点实验室(成都理工大学),成都610059 [3]四川省国土空间规划研究院,成都610081

出　　处：《桂林理工大学学报》2022年第4期830-837,共8页Journal of Guilin University of Technology

基　　金：国家自然科学基金项目(41871303,41602355);四川省科技厅重点研发项目(2021YFG0365);地质灾害防治与地质环境保护国家重点实验室项目(SKLGP2018Z010);四川省自然资源厅项目(kj-2021-3)。

摘　　要：为了有效提高城市多中心结构识别的效率和准确性,从城市的中心性角度提供识别城市多中心结构的方法,有助于揭示城市的聚集发展模式。城市中心性体现的不仅是路网的聚集,更是社会经济活动在空间上的聚集。兴趣点(POI)数据反映了不同类型的社会经济行为,利用POI数据,结合核密度分析、空间自相关分析和叠置分析方法,提出从城市功能要素和聚集度角度分析城市的中心性,进而识别城市多中心空间结构。为检验方法的有效性,以成都市为例进行了实验分析。成都中心城区各类要素呈现出“整体集聚、多中心分布、圈层蔓延”的空间聚类形态;形成一主多副的多中心空间结构,主中心辐射范围大,绵延特征明显,9个子中心分布较为均匀;与规划中心对比分析发现,识别结果与规划中心大致吻合,存在少量偏差,可有效指示城市规划的发展方向。In order to effectively improve the efficiency and accuracy of identifying the polycentric structure of cities,a method is proposed to identify the polycentric structure of cities from the perspective of centrality in this study.The agglomeration development pattern of cities urban center row reflects not only the aggregation of road network,but also the aggregation of socio-economic activities in space.Point of interest(POI)data reflect different types of socio-economic behaviors.POI data are used.Combined with kernel density analysis and spatial autocorrelation and superposition analysis methods,the analysis of urban centrality is applied from the perspective of urban functional elements and aggregation,to identify urban polycentric spatial structure.In order to test the validity of the method,an experimental analysis is conducted with Chengdu city as an example.The results show that the spatial clustering pattern of various elements in the central city of Chengdu is“overall agglomeration,multi-center distribution,and circle spreading”.Thus a multi-center spatial structure is formed with one main center and nine sub-centers.The main center has a large radiation range with obvious stretching characteristics,while the nine sub-centers are more evenly distributed.In comparison and analysis with the planning center,it is found that the identification results roughly match with the planning center with a few deviations,indicating the development direction of urban planning.

关 键 词：多中心识别 兴趣点 核密度估计 城市中心性 成都市 

分 类 号：TU984.113[建筑科学—城市规划与设计]