  Electric vehicles (EVs) are considered as sustainable alternatives to
conventional vehicles, as they reduce emission and fossil fuel dependency. A
recent study has proposed a charging infrastructure planning tool to support
intercity trips for the estimated EV market share (6 percent) in Michigan for
2030. The main goal of this study is to estimate the emission reduction
associated with this electrification rate and infrastructure investment for
light duty vehicles. To this end, a state-of-the-art emission estimation
framework is proposed to be applied to the state-wide intercity travels. The
main contributions of the proposed framework includes: 1) Incorporating a micro
emission estimation model for simulated vehicle trajectories of the intercity
network of Michigan, 2) Adjusting the micro emission model results considering
impacts of monthly travel demand and temperature variations, and heterogeneity
of vehicles based on their make, model, and age. The emission estimation
framework is then compared with the traditional VMT analysis method as a
benchmark. Finally, five different scenarios are explored for EV adoption to
assess potential emission savings from the given electrification rate for each
scenario. The results suggest an annual CO2 emission savings of 0.58-0.92
million-ton. The CO2 social cost savings may justify the investment on the
network electrification. Note that only 3.7 to 8.6 percent of the total EV
energy requirements must be provided via the DC fast charger network proposed
by the charging infrastructure planning tool. This requires annual energy
consumption of 22.15 to 51.76 BWh for the estimated EV market share in Michigan
for 2030.
