Impact of Charging Infrastructure on Electric Vehicle Adoption: A Synthetic Population Approach
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.
Language
- English
Project
- Status: Active
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Contract Numbers:
69A3552348303
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Sponsor Organizations:
Sustainable Mobility and Accessibility Regional Transportation Equity Research Center
Morgan State University
Baltimore, MD United StatesOffice of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
Sustainable Mobility and Accessibility Regional Transportation Equity Research Center
Morgan State University
Baltimore, MD United States -
Performing Organizations:
University of Maryland, College Park
Department of Civil and Environmental Engineering
College Park, MD United States 20742 -
Principal Investigators:
Cirillo, Cinzia
- Start Date: 20240901
- Expected Completion Date: 20250901
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers
Subject/Index Terms
- TRT Terms: Automobile ownership; Bayes' theorem; Demographics; Electric vehicle charging; Infrastructure
- Geographic Terms: Maryland
- Subject Areas: Energy; Highways; Planning and Forecasting; Terminals and Facilities; Vehicles and Equipment;
Filing Info
- Accession Number: 01935543
- Record Type: Research project
- Source Agency: Sustainable Mobility and Accessibility Regional Transportation Equity Research Center
- Contract Numbers: 69A3552348303
- Files: UTC, RIP
- Created Date: Oct 30 2024 3:03PM