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

Abstract

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.