基于大数据和UNA的城市商业空间分布研究——以南京主城区为例
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摘要
本文对南京主城区购物、餐饮、生活服务POI商业网点研究,结合城市基础数据,构建街区层面FD指数及街道层面RD指数,得出南京主城区"一核两横一纵"的商业空间布局特征。引入城市空间网络分析技术(UNA),对城市用地内建筑研究,分别以400m和600m(步行)、2000m和4000m(车行)为搜索半径,以建筑体量和建筑内POI商业网点数量为权重属性,在不同控制参数下进行研究,所得计算结果与应用街区、街道指数所得商业空间结构特征基本吻合,并扩展出"一强核、沿两横轴扩散、一纵轴南强北弱、五大圈层影响力"的布局特征,同时对该特征形成的内在机制做出初步探究。基于此,大数据与UNA的结合为大尺度城市空间研究提供了新的路径,也为物质空间与经济、社会、交通等现象关联分析提供新的可能性。
引文
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[3]Long Y,Shen Z.Discovering Functional Zones Using Bus Smart Card Data and Points of Interest in Beijing[M]//Geospatial Analysis to Support Urban Planning in Beijing.Springer International Publishing,2015.
[4]Jiang S,Alves A,Rodrigues F,et al.Mining point-of-interest data from social networks for urban land use classification and disaggregation[J].Computers Environment&Urban Systems,2015,53:36-46.
[5]于翔.基于城市公交刷卡数据和兴趣点的城市功能区识别研究--以北京市为例[D].浙江大学,2014.
[6]Yang T,Spatial structure and functional location choice in the light of big data.Beijing City Lab.Working paper#48,2014.
[7]Hillier B,Hanson J.The social logic of space[J].in press),An Integration of GIS,Internet and Virtual Reality for the visualisation,Analysis,and Exploration of Geospatial Data,International Journal of Geographical Information Science,1984(4):392.
[8]陈晓东.基于空间网络分析工具(UNA)的传统村落旅游商业选址预测方法初探--以西递村为例[J].建筑与文化,2013(2).
[9]Park.Accessibility Measure of Cultural Facilities Using Urban Network Analysis[J].Journal of the Korean Society of Civil Engineers,2015.
[10]Sevtsuk,Andres,Mekonnen,Michael.Urban network analysis:a new toolbox for measuring city form in Arc GIS[C]//Symposium on Simulation for Architecture and Urban Design.Society for Computer Simulation International,2012.
[11]Liu X,Song Y,Wu K,et al.Understanding urban China with open data[J].Cities,2015,47:53-61.