Project at a Glance

Title: Emerging Technology Zero Emission Vehicle Household Travel and Refueling Behavior

Principal Investigator / Author(s): Tal, Gil

Contractor: UC Davis

Contract Number: 16RD009


Research Program Area: Climate Change

Topic Areas: Behavioral Change, Greenhouse Gas Emissions


Abstract:

This report combines the results of the current study (16RD009) with a previous study (12-319) that utilized the same methodology but focused on different zero-emission vehicle (ZEV) models. In combination, the studies examined vehicle usage in plug-in electric vehicle (PEV) and fuel cell electric vehicle (FCEV) households throughout California through surveys, vehicle logging, and interviews between 2015-2020. A detailed survey covering vehicle purchase, vehicle fleet, driving and charging behavior, and sociodemographic information was completed by over 13,000 PEV owners. From these survey respondents, 424 households were recruited to participate in the vehicle data collection study, which consisted of installing a data logging device onto all household vehicles, including the non-PEVs. The logging study collected driving and refueling behavior on the order of 1 to 10 seconds per parameter for up to a year. From the logged households, 40 were selected to participate in interviews. At the vehicle-level, results indicate that the average percent electric vehicle miles traveled (eVMT) for plug-in hybrid electric vehicles (PHEV) is 14-66 percent, depending on vehicle model. There is a similar large range in the percent eVMT at the household-level for PHEVs studied (4-62 percent) due to miles driven on household internal combustion engine (ICE) vehicles. PHEV households with more ICE vehicles have lower percent eVMT. The percent eVMT on battery electric vehicles (BEV) and FCEVs at the vehicle-level is 100 percent (by definition). BEV and FCEV households with at least one ICE vehicle had an eVMT of 33-70 percent and 65 percent, respectively.


For questions regarding this research project, including available data and progress status, contact: Research Division staff at (916) 445-0753

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