City authorities are faced with aversions of traditional traffic participants to shared micromobility services albeit these were deemed as a cornerstone of sustainable urban transportation. At the same time, the connectivity of shared vehicles, i.e. bicycles and e-scooters, should allow city authorities to design smart transportation policies. We investigate how cities can and do use micromobility data to reduce aversion and increase the sustainability of personal transportation. Applying design science research, combining knowledge from literature and expert interviews, we derive ten objectives of data-driven micromobility governance. We present and discuss these objectives in a stage model with five maturity levels. Our stage model includes benefits for citizen acceptance, prerequisites for implementation, and provides an actionable agenda for theory and practice.