Significant research has been dedicated to deploying shared micromobility systems within urban environments. Yet, exploring their effectiveness and potential in alternative settings—such as university campuses, corporate grounds, residential districts, and rural areas—remains underexamined. This study endeavors to bridge this gap by exploring a comprehensive shared micromobility service on a university campus. This service offers a unique mobility allowance, enabling users to access various transportation options, including city bikes, e-bikes, e-cargo bikes, e-mopeds, and e-scooters, all through a single application. Our analysis over the initial four-month period of operation considers various factors, including hourly booking rates, durations, and distances traveled, alongside the influence of weather conditions, temporal patterns, demographic characteristics, pre-booking intervals, and the types of vehicles utilized. We applied techniques, such as Negative Binomial Regression, Random Forest, Gradient Boosted Regression Trees, and Neural Networks, to dissect the data. Our findings reveal a preference for e-scooters and e-bikes, with e-mopeds being least favored, albeit for longer reservations. Usage peaked during weekdays, especially from 8 AM to 6 PM, with a noticeable decline in bookings after the first month, although both the duration and distance of bookings increased. Weather conditions had a significant impact, with rainy days seeing a decrease in the number of bookings and distances traveled but an increase in booking duration. Moreover, bookings on Fridays, weekends, and holidays tended to be shorter in duration yet covered greater distances than those on Mondays. This research provides insights that could be applied to similar settings, enhancing the versatility of shared micromobility systems across various environments.    «

Significant research has been dedicated to deploying shared micromobility systems within urban environments. Yet, exploring their effectiveness and potential in alternative settings—such as university campuses, corporate grounds, residential districts, and rural areas—remains underexamined. This study endeavors to bridge this gap by exploring a comprehensive shared micromobility service on a university campus. This service offers a unique mobility allowance, enabling users to access various tran...    »