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Electric vehicles (EVs) are considered as sustainable alternatives toconventional vehicles, as they reduce emission and fossil fuel dependency. Arecent study has proposed a charging infrastructure planning tool to supportintercity trips for the estimated EV market share (6 percent) in Michigan for2030. The main goal of this study is to estimate the emission reductionassociated with this electrification rate and infrastructure investment forlight duty vehicles. To this end, a state-of-the-art emission estimationframework is proposed to be applied to the state-wide intercity travels. Themain contributions of the proposed framework includes: 1) Incorporating a microemission estimation model for simulated vehicle trajectories of the intercitynetwork of Michigan, 2) Adjusting the micro emission model results consideringimpacts of monthly travel demand and temperature variations, and heterogeneityof vehicles based on their make, model, and age. The emission estimationframework is then compared with the traditional VMT analysis method as abenchmark. Finally, five different scenarios are explored for EV adoption toassess potential emission savings from the given electrification rate for eachscenario. The results suggest an annual CO2 emission savings of 0.58-0.92million-ton. The CO2 social cost savings may justify the investment on thenetwork electrification. Note that only 3.7 to 8.6 percent of the total EVenergy requirements must be provided via the DC fast charger network proposedby the charging infrastructure planning tool. This requires annual energyconsumption of 22.15 to 51.76 BWh for the estimated EV market share in Michiganfor 2030.

Effects of Electric Vehicle Adoption for State-Wide Intercity Trips on Emission Saving and Energy Consumption