Study of land evolution model driving by multi-attribute functional urban areas

People are the main carrier of land. To a certain extent, multi-attribute functional urban areas directly affect the behavior patterns and communication features of people who live on. At the same time, the changes of person also led to the changes of the lands themselves to some extent. This paper analyzes the real large-scale mobile data including dynamics of human behavior and complex network. We adopt the k-means to cluster each month into different clusters, analyze the tendency of population migration and build the tendency of transfer relationship between clusters to identify the transfer of the people on the land. The people's life modes from different dimensions are measured and reflected upon land level, finally researches and analysis have been done on the land evolution. The results are completed to provides decision support for urban planning.

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