Bike-Sharing Systems (BSSs) have been implemented in
numerous cities around the world to reduce the traffic generated by
motorized vehicles, due to the benefits they bring to the city, such as
reducing congestion or decreasing pollution generation. Caused by their
impact on urban mobility, the research community has increased their
interest in their study, trying to understand user behavior and improving
the user experience. This demonstration shows the simulator developed
to analyze the impact of a variable incentive model for BSSs based on
Agent-based Social Simulation. The model has been developed using data
collected directly from BiciMad, the BSS of the city of Madrid, Spain.
The developed simulator uses OpenStreetMaps as a route generator software. The simulated scenario for this demonstration consists of a 7-day
series of simulations with different traffic flows to observe the impact of
different policies according to different traffic intensity.