A Data-driven and Model-based Approach for Assessing the Potential of Electric Vehicle Adoption and Corresponding Reduction in Energy Use and Emissions: A Case Study in Georgia

This research assesses the energy and emissions impacts associated with the potential purchase of EVs and the adoption of EVs to specific trips in Georgia households, using household socio-demographic attributes and trip-specific characteristics as input variables into an enhanced two-phase, data-driven modeling approach. This modeling framework is scalable, can be applied to specific regions and states, and can be used to estimate the future EV market penetration and adoption of EVs to specific trips, making the tools useful in a variety of transportation studies, such as promotion of alternative fueled vehicles via incentive programs, assessment of charging station deployment strategies, and assignment of shared EVs.

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