2019/07/25 by Kiana Roshan Zamir, Zamir, Kiana Roshan, Iryna Bondarenko +8
Engineering · Health Professions · Social Sciences · #Applications (stat.AP) #Assistive Technology in Communication and Mobility #FOS: Computer and information sciences #Transportation and Mobility Innovations #Urban Transport and Accessibility #Urban and Freight Transport Logistics
paper · pdf · doi:10.48550/arxiv.1907.11526
openalex publication_date 2019/07/25 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In 2017, dockless bikeshare systems were introduced in the United States,\nfollowed by dockless scootershare in early 2018. These new mobility options are\nexpected to complement the existing station-based bikeshare systems, which are\nbound to static origin and destination points at docking stations. The three\nsystems attract different users with different travel behavior mobility\npatterns. The present research provides a comparative analysis of users'\nbehavior for these three shared mobility systems during March-May 2018 in the\nDistrict of Columbia. Our study identifies similarities/differences between the\ntwo systems aiming for better planning, operating, and decision-making of these\nemerging personal shared mobility systems in the future. It uses logistic\nregression and random forest modeling to delineate between "member" behavior,\nwhich aligns most closely with commuter behavior, and "casual" behavior that\nrepresents more recreational behavior. The results show that 63.8% of dockless\nbike users and 69.6% of dockless scooter users demonstrated "member" behavior,\nwhich is slightly lower than the actual percentage of trips made by members\nwithin the conventional bikeshare system (73.3%). Dockless systems users also\nshowed to have short trip durations similar to conventional bikeshare system's\nregistered members, with no significant difference between trips during\nweekdays and weekends. Overall, this study provides a methodology to understand\nusers' behavior for the dockless bikeshare system and provides sufficient\nevidence that these new shared mobility systems can potentially make positive\ncontributions to urban multi-modal infrastructure by promoting bicycle usage\nfor urban daily travel.\n