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A platform for research: civil engineering, architecture and urbanism
Research of Urban Land Use and Regional Functions Based on Mobile Data Traffic
Urbanization and enlargement of cities contributes to different functional regions in urban area. In this paper, we investigate several main patterns of human online behavior to discover different functional areas in cities. To that end, we conclude a method for automatic identification of urban land use from the information obtained by mobile data traffic. We consider data traffic as reflection of human activities due to its timeliness and pervasiveness. During the process we also propose two possible indicators from traffic flows to build bridge between data traffic and human activities. We apply our technique to real-world mobile data traffic collected by major mobile operators in China. Our results prove the existence of several typical patterns in large-scale data traffic of city and link them to specific urban land uses.
Research of Urban Land Use and Regional Functions Based on Mobile Data Traffic
Urbanization and enlargement of cities contributes to different functional regions in urban area. In this paper, we investigate several main patterns of human online behavior to discover different functional areas in cities. To that end, we conclude a method for automatic identification of urban land use from the information obtained by mobile data traffic. We consider data traffic as reflection of human activities due to its timeliness and pervasiveness. During the process we also propose two possible indicators from traffic flows to build bridge between data traffic and human activities. We apply our technique to real-world mobile data traffic collected by major mobile operators in China. Our results prove the existence of several typical patterns in large-scale data traffic of city and link them to specific urban land uses.
Research of Urban Land Use and Regional Functions Based on Mobile Data Traffic
Miao, Qing (author) / Qiao, Yuanyuan (author) / Yang, Jie (author)
2018-06-01
2583070 byte
Conference paper
Electronic Resource
English
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