Analyzing campus mobility patterns of college students by using GPS trajectory data and graph-based approach

College students are a special group of people which have unique mobility patterns. By modeling the spatiotemporal patterns of college students´ mobility behavior on campus through GPS trajectory, this paper aims to detect and analyze students´ major daily behaviors, their priorities, and also abnormal behaviors using a graph-based approach. The potential outcome of this research would be helpful for campus safety monitoring and also for achieving a better understanding of students´ mobility behaviors.