Association for Computing Machinery
The recent availability of human mobility traces has driven a new wave of research - on human movement - with straight-forward applications in wireless/cellular network algorithmic problems. In this paper, the authors revisit the human mobility problem with new assumptions. They believe that human movement is not independent of the surrounding locations, i.e. the points of interest that they visit; most of the time people travel with specific goals in mind, visit specific points of interest, and frequently revisit favorite places. Using GPS mobility traces of a large number of users located across two distinct geographical locations they study the correlation between people's trajectories and the differently spread points of interest nearby.