Article ID Journal Published Year Pages File Type
7377352 Physica A: Statistical Mechanics and its Applications 2016 10 Pages PDF
Abstract
Identifying functional urban areas is a significant research of considerable interest in many important fields such as city planning and facility location problem. Traditionally, we identify the function of urban areas from the macro-level perspective. With the availability of human digital footprints, investigation of functional urban areas from a micro-level perspective becomes possible. In this paper, we identified the functional urban areas of a metropolitan city in China by some metrics of community detection based on the social network of mobile phone users. The result shows that there are close relations between urban area and individual communication network, which can help us identify the function of areas more conveniently.
Related Topics
Physical Sciences and Engineering Mathematics Mathematical Physics
Authors
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