寄递大数据城市画像

A framework of urban profiling system was proposed based on a large number of urban history express data for urban data analysis through making full use of the express sheet information, including time, address and item. The data of several express companies were gathered and pre-processed by means of data completion, address conversion, item type extraction and data format conversion method. And four indicators were proposed: delivering frequency, time, address and item. Based on Xi'an real historical data set, express data of different social groups and urban areas in the city was analyzed, respectively, and an urban profiling was made through data analysis results. In combination with the actual situation of the society, a reasonable explanation of the laws and anomalies was made in the analysis results. Finally, urban profiling results were integrated and demonstrated through a visualization platform. Results show that the proposed urban profiling system can detect the law and anomaly of the delivery behavior between different social groups and regions.