Extracting of Life Pattern from Human Mobility Data

Abstract

People use a variety of services such as railway  and  communications everyday, thereby, a huge amount of log data  has been generated and accumulated in a social infrastructure. For the  purpose of improvement and optimization of the customer service,  we  develop  methods of extracting daily life pattern and analysing behavioral characteristics of people based on the social life log data. In this paper, we propose the method of extracting daily life pattern from the log data related to mobility and  then show the result of an experiment using urban transportation census.