Fostering the use of sharing mobility solutions via control-oriented policy design

In the quest for reducing greenhouse gas (GHG) emissions, mobility plays a lion's role. In particular, moving from ownership to usership has profound individual implications, as vehicles are in many cultures proxy of social status and power symbols. To sustain the shift to shared mobility, we use data to extrapolate the main socio-economic drivers that guide the adoption of this model, the so-called Sharing-DNA, ultimately building a dynamical model characterizing the evolution of individual inclinations over time. This novel representation allows us to exploit optimal control tools for the design of innovative human-centric policies to foster the adoption of sharing mobility solutions. The results here presented demonstrate the potential impact of individualized closed-loop policies in promoting this crucial behavioral change.