摘要: |
The goal of this project is to enable investments in electric vehicle (EV) charging infrastructure that most effectively increase consumer demand for EVs. The research team will use a data-driven approach to understand how charging infrastructure system attributes (station locations, density, type, etc.) affect demand for EVs across regions with diverse mobility needs. This knowledge will help state and local officials to ensure that the benefits of EVs, including their lower per-mile costs and lighter environmental impacts, are available to all residents in the Northwest.
The team plans to use region-level data from across the US to identify how changes in different types of public charging stations (Level 2, DC fast charging) lead to changes in the sales of different types of electric vehicles � battery electric and plug-in hybrid vehicles � in future periods. Vehicle sales data at the metropolitan statistical area (MSA) level will be purchased from IHS Inc., and the Department of Energy�s Alternative Fuels Data Center is the source of charging infrastructure data.
The results of this work will be incorporated into a WSDOT-supported effort to develop an agent-based simulation of statewide electric vehicle travel and charging demand for Washington State. |