The model, which is described in detail in Kilani et al. covers the North of France and includes both urban and intercity trips. It is a multi-agents simulation based on the MATsim framework and calibrated on observed traffic flows. We find that the decrease in emissions of pollutant gases decreases in comparable proportion to the market share of the electric vehicles. When only users with shorter trips switch to electric vehicles the impact is limited and demand for charging stations is small since most users will charge by night at home. When the government is able to target users with longer trips, the impact can be higher by more than a factor of two. But, in this case, our model shows that it is important to increase the number of charging stations with an optimized deployment for their accessibility.