  In 2017, dockless bikeshare systems were introduced in the United States,
followed by dockless scootershare in early 2018. These new mobility options are
expected to complement the existing station-based bikeshare systems, which are
bound to static origin and destination points at docking stations. The three
systems attract different users with different travel behavior mobility
patterns. The present research provides a comparative analysis of users'
behavior for these three shared mobility systems during March-May 2018 in the
District of Columbia. Our study identifies similarities/differences between the
two systems aiming for better planning, operating, and decision-making of these
emerging personal shared mobility systems in the future. It uses logistic
regression and random forest modeling to delineate between "member" behavior,
which aligns most closely with commuter behavior, and "casual" behavior that
represents more recreational behavior. The results show that 63.8% of dockless
bike users and 69.6% of dockless scooter users demonstrated "member" behavior,
which is slightly lower than the actual percentage of trips made by members
within the conventional bikeshare system (73.3%). Dockless systems users also
showed to have short trip durations similar to conventional bikeshare system's
registered members, with no significant difference between trips during
weekdays and weekends. Overall, this study provides a methodology to understand
users' behavior for the dockless bikeshare system and provides sufficient
evidence that these new shared mobility systems can potentially make positive
contributions to urban multi-modal infrastructure by promoting bicycle usage
for urban daily travel.
