  Many cities and towns offer to citizens a Bike-Sharing System (BSS). When a
company starts the service, multiple decisions have to be taken at strategic,
tactical, and operational level. When the service is in place, it is often
necessary to adapt these decisions to changed conditions. In this paper,
starting from the experience gained in the real-case of Bicimia in Brescia,
Italy, we present a simulation framework to support decisions in the design or
revision of a BSS, including the shifts of the operators, the number of
vehicles and their capacity, the sizing of the stations, and the sizing of the
fleet of bikes.
