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Impact of Charging Infrastructure on Electric Vehicle Adoption: A Synthetic Population Approach

Project Abstract

This project will employ a synthetic population approach to examine the influence of public charging infrastructure on electric vehicle (EV) adoption in Maryland. By simulating increased access to charging stations across different income levels and regions, the study aims to inform equitable policies for EV infrastructure deployment. Using a Bayesian network model, the project will evaluate how charging availability affects EV ownership patterns, contributing to the development of a cleaner, more accessible transportation system.

Universities Involved

University of Maryland, College Park

Principle Investigators

Cinzia Cirillo

Expected Research Outcomes & Impacts

The study expects to deliver a validated model linking charging infrastructure to EV adoption trends across demographics. Findings will offer actionable insights for policymakers to design infrastructure that encourages equitable EV adoption across Maryland, particularly benefiting low-income and rural areas​
Subject Areas

Electric Vehicles, Sustainability, Network Modeling