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In 2017, dockless bikeshare systems were introduced in the United States,followed by dockless scootershare in early 2018. These new mobility options areexpected to complement the existing station-based bikeshare systems, which arebound to static origin and destination points at docking stations. The threesystems attract different users with different travel behavior mobilitypatterns. The present research provides a comparative analysis of users'behavior for these three shared mobility systems during March-May 2018 in theDistrict of Columbia. Our study identifies similarities/differences between thetwo systems aiming for better planning, operating, and decision-making of theseemerging personal shared mobility systems in the future. It uses logisticregression and random forest modeling to delineate between "member" behavior,which aligns most closely with commuter behavior, and "casual" behavior thatrepresents more recreational behavior. The results show that 63.8% of docklessbike users and 69.6% of dockless scooter users demonstrated "member" behavior,which is slightly lower than the actual percentage of trips made by memberswithin the conventional bikeshare system (73.3%). Dockless systems users alsoshowed to have short trip durations similar to conventional bikeshare system'sregistered members, with no significant difference between trips duringweekdays and weekends. Overall, this study provides a methodology to understandusers' behavior for the dockless bikeshare system and provides sufficientevidence that these new shared mobility systems can potentially make positivecontributions to urban multi-modal infrastructure by promoting bicycle usagefor urban daily travel.

Comparative Analysis of User Behavior of Dock-Based vs. Dockless Bikeshare and Scootershare in Washington, D.C