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The activities of this planning project laid educational and policy groundwork for electric vehicle adoption and charging infrastructure installation in the Richmond, VA region. A strategic plan was developed to identify and foster policies to expedite infrastructure implementation specific to the area and prepare the Commonwealth for successful deployment of plug-in electric drive vehicles.

The objective of the Mid-Atlantic Electrification Partnership is to enable a regional ecosystem in Virginia (VA), District of Columbia (DC), Maryland (MD), and West Virginia (WV) allowing all sizes of electric vehicle (EV) use for fleets, Transportation Network Companies, and consumers. This ecosystem project connects the Capital Region's cities, employs multiple EV and infrastructure sub-projects, and includes multimodal hubs such as airports, seaports, mass transit hubs, and logistics centers while addressing equity issues of populations near these hubs and within cities and towns.

For more information on this project, check the Technology Integration 2021 Annual Report or the 2022 Annual Merit Review presentation and the 2023 Annual Merit Review presentation.

The Electric Vehicle Smart program will assist local governments in setting and achieving their EV readiness goals as well as promoting equitable access to electric mobility. Four overarching project objectives drive the Recipient’s approach to maximize program impact:1. Facilitate technical assistance (TA) and designation of at least 60 EV Smart communities. 2. Prioritize key objectives identified in the Justice 40 Initiative by developing tools to support equitable access to EVs and EV charging.3. Collaboratively work with four Clean Cities Coalitions (CCCs) to provide TA across communities in Virginia, Colorado, north Texas, southern California, and continuation of Great Plain’s Institute’s (GPI) pilots in Michigan, Ohio, & Minnesota, and Metropolitan Mayor’s Caucus’ (MMC) work in the Chicago area. 4. Develop and test an EV Smart Infrastructure Modeling Tool to enable local leaders and planning agencies to quickly and easily develop a sense of the EV charging infrastructure demand based on anticipated levels of EV adoption.