Analysis of Driving Behavior of Micromobility Vehicle Users at Mini-Roundabouts

Featured Application: This study provides practical applications for improving the safety and efficiency of roundabouts for micromobility users. By analyzing the behavior of bikes and electric scooters, the results can help urban planners design infrastructure that better accommodates these vehicles, such as optimized roundabout geometries and dedicated lanes for micromobility. In addition, the results can serve as a basis for traffic regulations and signage improvements to make the interaction between micromobility users and motor vehicles safer while promoting sustainable solutions for urban mobility. The rapid spread of micromobility vehicles such as bicycles and electric scooters poses new challenges to urban transportation systems, particularly in terms of road safety and infrastructure integration. This study investigates the driving behavior of micromobility users at a mini-roundabout, focusing on their speed profiles and their position within the lane during the entry, circulation, and exit phases. A structured recruitment process was used to select 20 participants with previous micromobility experience. Participants performed crossing maneuvers at a mini-roundabout in Gravina di Catania, Italy, which were monitored using drone footage and analyzed with tracking software to extract trajectories and speed data. The results show significant differences between e-scooter and bicycle users, with bicycles showing less speed variability, especially during the crossing and exit phases, while e-scooters showed greater variability, especially during the entry and exit phases. The results highlight the influence of vehicle stability and user posture on riding behavior and emphasize the need for infrastructure adaptations to increase safety. Mini-roundabouts designed for moderate speed are identified as a promising solution to improve the coexistence of micromobility and motor vehicles. This research identifies key differences in speed profiles and behavioral patterns between e-scooter and bicycle users, offering actionable insights and recommendations for safer and more efficient urban infrastructure. These contributions provide valuable guidance for urban planners and policymakers in promoting safer and more sustainable urban mobility.