The rapid emergence of dockless bikeshare systems has had a considerable influence on individuals’ daily mobility patterns. However, information is still limited regarding the role that sociodemographics, social environments, travel attitudes and the built environment play on the adoption and usage of dockless bikeshare systems. To gain insight into what influences individuals to start and continue to use dockless bikeshare systems, this study sets out to assess the influential factors that are related to individuals’ initial adoption and frequency of usage of this transportation mode. A survey was conducted among the residents of Beijing to assess their usage of dockless bikeshare systems. A binary logistic regression is employed to assess travel mode adoption, and a set of hurdle negative binominal regressions is used to assess the travel frequency for four trip purposes. The results reveal that dockless bikeshare systems are more popular among younger, higher educated, or median-income groups and appear to be gender-independent. The total number of kilometers of roads within an individual’s neighborhood was reported to be positively associated with having higher odds of dockless bikeshare adoption, while the total length of bicycle paths does not show a significant relationship. Having a pro-bicycle attitude was found to play a strong positive role in deciding whether to use the dockless bikeshare system initially, but it became less important in determining bikeshare users’ frequency of usage. Finally, this study confirms that it is relevant to consider various trip purposes when exploring individuals’ travel behavior and dockless bikeshare usage.
This is an open access article distributed under the Creative Commons Attribution License
which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited