Exploring Mobile Phone Data for Urban Activity Analysis: Applications from Individual Activity Pattern to Group Activity Regularity

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.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 2 citations exist upstream.