Effects of Temporal Factors on Human Mobility Lifestyle Through GPS Information

Analysis of human mobility from GPS trajectories becomes crucial in many aspects, such as policy planning for urban citizens, location-based service recommendation/prediction, and mitigating biological and mobile viruses' spread. This paper proposes a method to find temporal factors affecting the human mobility lifestyle. We collected GPS data from 100 smartphone users in Japan. We designed a model with 13 temporal patterns. We then applied a multiple linear regression and found that people tend to keep their mobility habits on Thursday and the days in the second week of a month but tend to lose their habits on Friday. We also explained some reasons for these findings.