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城市空间结构是城市各要素通过其内在机制相互作用而表现出的空间形态,是研究城市空间发展的重要议题。本文以百度兴趣点POI数据为基础数据,提出一种基于大数据技术的城市空间结构的识别方法。首先,通过网络抓取百度POI的经纬度信息并进行坐标转换录入GIS平台;再运用核密度分析法生成镇江生产性、生活性、公益性业态集聚密度分布图;最后,依托镇江业态集聚密度分布图,分析镇江生产性、生活性、公益性服务中心的空间分布特征,进而推导出镇江中心城区空间结构。总体来看,基于POI数据的镇江空间结构识别结果真实地反映了客观现状,可作为城市规划评估的重要依据,有助于提高政府部门规划研究的客观性和科学性。
Urban spatial structure is the spatial form that each element of the city shows through the interaction of its internal mechanism, which is an important topic for studying the development of urban space. Based on the POI data of Baidu point of interest, this paper proposes a method of identifying urban spatial structure based on big data technology. First of all, the latitude and longitude information of Baidu POI is captured through the network and entered into the GIS platform by coordinate transformation; then the density distribution map of productive, living and non-profit forms of Zhenjiang is generated by nuclear density analysis; Finally, , Analyzes the spatial distribution characteristics of Zhenjiang’s productive, living and non-profit service centers, and deduces the spatial structure of Zhenjiang’s downtown area. Overall, the results of Zhenjiang spatial structure identification based on POI data truly reflect the objective status quo and can be used as an important basis for urban planning assessment, which helps to improve the objectivity and scientificity of planning and research of government departments.