Analyzing Usage Trends of Shared Micromobility Among University Students

Effective management and integration of the increasingly prevalent shared micro-mobility services, particularly in university environments, requires a data-driven understanding of their usage patterns. This study descriptively analyzes the operational patterns of such services on a university campus by examining the temporal distribution of rides and the role of key locations as origins and destinations. Trip data were analyzed using frequency distributions for usage patterns and spatial assessments of trip endpoints relative to significant points of interest, and the findings revealed the distinct temporal usage peaks, as well as the periods with the highest overall volume. Specific origins and destinations were identified as significant for a considerable portion of trips, emphasizing the role of student behavior in shaping micro-mobility usage. These results highlight distinct usage patterns and underscore an urgent need for targeted interventions to ensure sustainable and responsible integration of shared micro-mobility services in the university environments.