基于多源数据的南京主城区商业空间格局研究

Commercial space pattern analysis based on multiple-source data: A case study of the central area of Nanjing

网络数据的广泛应用为城市商业空间研究提供了新方法和新手段。研究采集分行业商业POI数据、腾讯宜出行数据和商业用地数据,采用DBSCAN算法和核密度估计法,分析南京主城区的总体商业空间格局及分行业商业空间布局的特征。研究发现,南京主城区的总体商业空间呈单核集中块状结构,以新街口为中心随距离呈圈层式递减分布,分行业中仅商务和金融空间显现出多中心结构的发展趋势;南京主城区商业空间格局受到经济、政治、市场、规划、交通、企业等因素的共同作用和影响。建议各商业中心实现片区差异化、层次化、特色化发展,完善商业中心等级体系。

Network data provides new methods and new means for commercial space research. We explored commercial POI data, Tencent’s travel data and commercial land data. Using DBSCAN algorithm and Kernel Density Estimation, we conducted commercial spatial clustering analysis, and verified the results. Taking the central city of Nanjing as example, we explored the overall commercial space pattern and the characteristics of sub-commercial space layout. The study found that the overall commercial space is a single-center structure with Xinjiekou as the core, and that only business space and financial space shows the trend of multi-center structure. The spatial pattern of commercial space is influenced by economic, political, market, planning, transportation and enterprise factors. It is recommended that each commercial center realize the differentiation, layering and characteristic development and improve the hierarchy of the commercial center.