An economic assessment of applying stimulus funds to spur electrification of the transportation sector in the United States.
A team of transportation and policy experts from the University of California released this report to the California Environmental Protection Agency (CalEPA) outlining policy options to significantly reduce transportation-related fossil fuel demand and emissions.
In this report, the Goldman School of Public Policy analyzes the economic, human health, environmental, and electric grid impacts of a future in which ground transportation is all-electric.
This paper describes the economic, health, and social justice challenges from both COVID-19 and the 2020 wildfire season and highlights the role of transportation electrification in being one of many critical responses to the challenges.
Jobs to Move America (JMA) unveiled a new report about electric school bus technology and deployment, including policy recommendations for how New York can use a transition to electric school bus fleets to improve air quality for children while building a just recovery for working families.
When Might Lower-Income Drivers Benefit from Electric Vehicles? Quantifying the Economic Equity Implications of Electric Vehicle AdoptionConner Smith2021-03-10T12:58:50-05:00
This analysis finds that cost reductions in new electric vehicles (EVs) will lead to decreased used EV prices and cost parity with used gasoline vehicles for low-income households in the 2025-2030 time period.
EVHybridNoire and Clean Fuels Ohio developed a joint report detailing the attitudes, beliefs, and knowledge of next generation mobility in the Greater Cleveland area to identify unmet transportation needs in target communities.
This report focuses on the important role that multipollutant standards for passenger vehicles that ensure all vehicles sold in 2035 are zero-emitting would play in that landscape and the substantial benefits they would deliver.
Argonne published this study on affordability of household fuel costs to provide a more detailed understanding of the geographical variation in burden by connecting vehicles miles traveled, fuel economy, fuel costs, and income data at the census tract level.