electric vehicle (EV)

UC Davis researchers adapted a previously developed GIS planning toolbox to be used outside of California, collaborating with the Delaware Valley Regional Planning Commission to develop a case study for using this toolbox for EV infrastructure planning in the Greater Philadelphia region.

This project creates a toolkit that run in ArcGIS and allows users to project where EV owners will live, work, and charge.

Researchers at the University of California, Davis surveyed residents and employees of the West Village area of the UC Davis campus during the three-month pilot deployment of a self-driving, electric shuttle to understand attitudes toward self-driving technology. This policy brief summarizes findings from that research and provides policy implications of self-driving shuttles.

This report studies the responses given by PEV lessees and purchasers to the question of what they would do in the absence of the federal tax credit. To analyze the indications made by the responses, researchers sampled 7,000 California PEV drivers and used two logistic regression models and specified them.

This study aims to explore these research questions based on data collected from people who live or work in the West Village area of the University of California, Davis, campus after a self-driving electric shuttle was piloted in this area.

This policy brief examines the adoption of plug-in electric vehicles in California between 2014 and 2016, both spatially and temporally, to gain a better understanding of the technology diffusion process and the effect of technology exposure, while controlling for sociodemographic factors and the effect of PEV incentive programs on PEV adoption in the state.

This research draws on a behavioral theory, systematic review of available vehicle cost calculators (VCCs), and user research with three VCCs to articulate design recommendations for effective VCCs.