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Exploring Temporal Activity patterns of urban Areas Using Aggregated Network-driven Mobile Phone Data:A Case Study of Wuhu,China

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Chinese Geographical Science 2020年第4期30卷 695-709页

作者： ZHANG Shanqi YANG Yu ZHEN Feng LOBSANG Tashi School of Architecture and urban Planning Nanjing UniversityNanjing 210093China Provincial Engineering Laboratory of Smart City Design Simulation&Visualization Nanjing 210046China Pancar Technology Co.Ltd.Nanjing 210049 China

The increasing availability of data in the urban context(e.g.,mobile phone,smart card and social media data)allows us to study urban dynamics at much finer temporal resolutions(e.g.,diurnal urban dynamics).Mobile phone data,for instance,are found to be a useful data source for extracting diurnal human mobility patterns and for understanding urban *** previous studies often use call detail record(CDR)data,this study deploys aggregated network-driven mobile phone data that may reveal human mobility patterns more comprehensively and can mitigate some of the privacy concerns raised by mobile phone data *** first propose an analytical framework for characterizing and classifying urban areas based on their temporal activity patterns extracted from mobile phone ***,urban areas’diurnal spatiotemporal signatures of human mobility patterns are obtained through longitudinal mobile phone *** areas are then classified based on the obtained *** classification provides insights into city planning and *** the proposed framework,a case study was implemented in the city of Wuhu,China to understand its urban *** empirical study suggests that human activities in the city of Wuhu are highly concentrated at the Traffic Analysis Zone(TAZ)*** large portion of local activities suggests that development and planning strategies that are different from those used by metropolitan Chinese cities should be applied in the city of *** article concludes with discussions on several common challenges associated with using network-driven mobile phone data,which should be addressed in future studies.

关键词： mobile phone data human mobility urban travel patterns prefectural-level Chinese city Wuhu

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