The market for plug-in electric vehicles (PEVs) that primarily include battery electric vehicles (BEVs) and plug-in hybrid vehicles (PHEVs) has been rapidly growing in California for the past few years. Given the targets for PEV penetration in the state, it is important to have a better understanding of the pattern of technology diffusion and the factors that are driving the process. Using spatial analysis and Poisson count models, the researchers identify the importance of a neighborhood effect (at home locations) and a workplace effect (at commute destinations) in supporting the diffusion of PEV technology in California.
Principal InvestigatorDebapriya Chakraborty, Ph.D.
University of California, Davis
This project will involve a robust analysis of plug-in electric vehicle choice and usage decisions by households within an integrated framework that captures the joint nature of the decisions.
The report explores the necessity to correctly estimate the preference for vehicle holdings of households as well as the vehicle miles traveled by vehicle body- and fuel-type to project future Vehicle Miles Traveled changes and mobile source emission levels. The report presents the application of a utility-based model for multiple discreteness that combines multiple vehicle types with usage in an integrated model, specifically the MDCEV model.
In this paper the research team explores the factors that influence plug-in electric vehicle (PEV) buyers' decision to lease or purchase a PEV. Both purchasing and leasing will be important strategies for growing the PEV market.
This study aims to develop a prediction framework based on a Bidirectional Long Short-Term Memory Network model to suggest when battery electric vehicle drivers should charge their vehicles, in order to to provide a more accurate and precise method of predicting charging events than conventional machine learning models.
In this webinar, Dr. Gil Tal, Director of the EV Research Center at UC Davis, and PhD student
Kelly Hoogland will share analysis on survey responses from approximately 7,000 California
PEV drivers. The research aims to provide a better understanding of the impact of financial
incentives on PEV leasing and purchasing.
This study contributes to understanding the secondary market for plug-in electric vehicles, including the vehicle market development and on-road usage.
