Implementing a zero-inflated multilevel negative binomial regression model, this research identifies the relative increase in dockless bicycle sharing journey destinations within close proximity to a range of built environment factors that enable inferences of trip purposes. Results show that among users of the JUMP system in London there is nearly a fourfold increase in bicycle drop-offs in locations within close proximity to train stations, showcasing significant multi-modal first and last mile use, in addition to a significant proportion of users likely to be students using the mode to get to university buildings.