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作者利用公交刷卡数据(Smart Card Data,SCD)和兴趣点(Point of Interest,POI)数据,借助Oracle数据库和地理信息系统对城市街区层面的功能属性识别进行了研究。其中SCD用于刻画街区客流特征的功能属性,POI。数据用于刻画街区设施功能属性。作者首先利用公交站点客流出行规律的功能属性对城市街区进行初步的分类。在此基础之上,利用POI数据的设施功能属性字段进行蚁群聚类,对城市功能进行进一步细分和识别。最后利用遥感影像分析对识别结果进行检验。检验结果表明,综合利用公交刷卡数据和兴趣点数据能较为准确刻画城市街区的功能特征。
Using Smart Card Data (SCD) and Point of Interest (POI) data, the authors studied the identification of functional attributes at the city block level using Oracle Database and GIS. Among them, SCD is used to depict the functional attributes of the passenger flow in the block, POI. Data is used to characterize facility functions in neighborhoods. The author first uses the functional attributes of the passenger flow patterns at bus stops to conduct a preliminary classification of urban blocks. Based on this, the ant colony clustering is performed by using POI data facility function attribute fields to further segment and identify the urban functions. At last, the recognition result is verified by remote sensing image analysis. The test results show that comprehensive utilization of bus credit card data and point of interest data can more accurately characterize the features of urban blocks.