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

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

This work researches on the adoption of electric vehicles in households’ daily travel in Georgia state, with trip-specific characteristics and households’ socio-demographic attributes as input variables and proposes a data-driven and model-based approach for assessing the potential of adopting electric vehicles for daily travel to specific trips and reducing energy consumption and costs. This modeling framework could be applied to predict the future market penetration and actual adoption of electric vehicles and be used for transportation studies in various aspects, such as the promotion of alternative fuel vehicles, the policymaking of new-energy automobiles, the deployment strategy of charging piles, and the assignment of shared electric vehicles.

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