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Title	Exploring Mobile Phone Data For Urban Activity Analysis: Applications From Individual Activity Pattern To Group Activity Regularity
ID_Doc	25572
Authors	Xie R.
Year	2019
Published	Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019
DOI	http://dx.doi.org/10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00226
Abstract	Data collected from mobile phones have potential knowledge to provide background information of users, which are quite valuable to many location-aware applications. In the current research, there is relatively few commercial software or application systems to fully meet the requirements of effectively analyzing these characteristics of urban activity. In the paper, we provide with a complete framework for the applications of urban activity analysis from mobile phone location data, including individual behavioral pattern, comparison among individuals, and group activity. We use actual mobile phone data to implement these functions of discovering pattern and regularity of urban activity to show our rich applications related to mobile phone under our framework. © 2019 IEEE.
Author Keywords	Group activity; Individual activity; Mobile phone data; Urban activity analysis

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