Flow Analysis and Research on Subway Based on "Sina Micro-Blog" Registration Data

With the development of information technology and popularization of LBS (Location Based Services), it is possible to observe the target trajectory of groups under large scale and real-time. In this paper, the flow influence is quantizedly researched by using the Registration data based on "Sina micro-blog" of Wuhan City Subway Line 2. It is proved that the micro-blog mobile check-in data obviously tend to distribute along the subway. As time goes by, the influence of subway on distribution of the crowd and on the range of surrounding areas gradually becomes stronger and greater. But the influence degree of the subway on its surrounding area is not uniform. In two-dimensional space, the greatest and the farthest influence of subway is on a city’s flourishing commercial region.