This chapter introduces a data-led, geographic information system method of designing bike share catchments focused on maximising usage. It shows how the Propensity Index can be a useful method of using city-level data to determine the best docking station catchment at the macroscopic level. The location of docking stations plays a critical role in the performance of bike share. Digital platforms provide an easy way for the public to suggest a location for a docking station and for others to leave a comment of support. Broadly speaking, docking station locations can be divided into the following typologies: on-street; on-footpath; and open spaces. Most cities choose to use a variety of the four key configuration types, based on the characteristics of location in which they are to be sited. These are angled, standard, double-sided and back-to-back. In locations with insufficient kerbside road space to accommodate a docking station, it is possible to use footpaths.