The 2015-2017 California Vehicle Survey of residential and commercial light-duty vehicle owners in California assessed consumer preferences for vehicles and included a targeted sample of plug-in electric vehicle (PEV) owners. Resource Systems Group conducted the survey on behalf of the California Energy Commission. In addition to economic and demographic data, the survey integrated light-duty vehicle holding and use information with vehicle choice data collected via the stated preferences survey's set of eight vehicle and fuel type choice exercises. The PEV owner survey participants provided additional data on charging behavior, electricity rates, and their main motivations for purchasing PEVs.

The 2013 California Vehicle Survey (CVS) collected data on household and commercial vehicle usage, and on future vehicle purchases. ICF International conducted the survey on behalf of the California Energy Commission. Approximately 8,000 respondents, from California households and businesses, completed the survey. The household component of the CVS included a selection of households from the 2010-2012 California Household Travel Survey (CHTS), who had stated their intention to purchase a vehicle in the near future. Both household surveys used the same survey ID numbers enabling the integration of responses. The commercial vehicle component of the CVS—a stand-alone survey of commercial fleet owners in California—asked vehicle owners questions pertaining to economic and demographic attributes, current fleets, and preferences about planned vehicle purchases.

The dataset contains average hourly truck and auto volumes for one week. The data is based on traffic counts collected over a two week period during the Commercial Vehicle Survey (CVS). Station ID: Unique CVS station number Station name: Station name Direction: Direction of traffic MTO region: Five regions of MTO (Central, Eastern, etc) Highway or road: Highway number or road name Location: Description of location Day of week number: A number between 1 and 7 representing day of week. 1=Sunday, 7= Saturday Hour: Hour of day, 0 to 23 represents starting hour of the day (e.g. 12 represents 12 P.M. - 1 P.M.). Single: Number of single unit trucks Multi: Number of multi-unit trucks Auto: Number of cars and other passenger vehicles Total trucks: Sum of single and multi-unit vehicles Total vehicles: Number of total vehicles *[CVS]: Commercial Vehicle Survey *[MTO]: Ministry of Transportation

This data provides modelled average hourly traffic count information by weekday/weekend. Commercial vehicles and autos data is collected at Commercial Vehicle Survey locations (latitude/longitude) on provincial highways at border crossings. This data is used to model hourly estimates of passenger and commercial traffic volumes across ontario.

This data provides core information on truck travel and commodity flows on the provincial highway network and other significant truck corridors. It includes the basic commercial vehicle information data set. This data is used by MTO's Systems Analysis and Forecasting Office to monitor truck volumes,value of goods and performance on major roadways within Ontario. *[MTO]: Ministry of Transportation

This table contains 15 series, with data for years 2000 - 2009 (not all combinations necessarily have data for all years), and was last released on 2014-06-19. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada excluding Territories ...), Type of vehicle (5 items: Total; all vehicles; Trucks 4.5 tonnes to 14.9 tonnes; Trucks 15 tonnes and over; Vehicles up to 4.5 tonnes ...), Sex (3 items: Both sexes; Males; Females ...).

The increasing diversity of vehicle type holdings and growing demand for BEVs and PHEVs have serious policy implications for travel demand and air pollution. Consequently, it is important to accurately predict or estimate the preference for vehicle holdings of households as well as the vehicle miles traveled by vehicle body and fuel type to project future VMT changes and mobile source emission levels. The current 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. We use the 2019 California Vehicle Survey data here that allows us to analyze the driving behavior associated with more recent EV models (with potentially longer ranges). Important findings from the model include:

Household characteristics like size or having children have an expected impact on vehicle preference: larger vehicles are preferred. College education, rooftop solar ownership, and the number of employed workers in a household affect the preference for BEVs and PHEVs in the small car segment dominated by the Leaf, Bolt, Prius-Plug-in and the Volt often used as a commuter car. Among built environment factors, population density and the walkability index of a neighborhood have a statistically significant impact on the type of vehicle choice and VMT. It is observed that a 10% increase in population density reduces the preference for ICEV pickup trucks by 0.34% and VMT by 0.4%. However, if the increase in population density is 25%, the reduction in preference for pickup trucks is 8.4% and VMT is 8.6%. The other built environment factor we consider is the walkability index. If the walkability index of a neighborhood increases by 25%, it reduces the preference for ICEV pickup trucks by 15% and their VMT by 16%. Overall, these results suggest that if policies encourage mixed development of neighborhoods and increase density, it can have an important impact on ownership and usage of gas guzzlers like pickup trucks and help in the process of electrification of the transportation sector.

Methods The dataset used in this report was created using the following public data sources:

2019 California Vehicle Survey: "Transportation Secure Data Center." ([2019]). National Renewable Energy Laboratory. Accessed [04/26/2023]: www.nrel.gov/tsdc. The Smart Mapping Tool by EPA: https://www.epa.gov/smartgrowth/smart-location-mapping

American Community Survey: https://www.census.gov/programs-surveys/acs

This table contains 25 series, with data for years 1999 - 2009 (not all combinations necessarily have data for all years), and was last released on 2014-06-19. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada excluding Territories ...), Type of vehicle (5 items: Total; all vehicles; Trucks 15 tonnes and over; Trucks 4.5 tonnes to 14.9 tonnes; Vehicles up to 4.5 tonnes ...), Time of day (5 items: Total; all hours; 06:00 to 11:59; 12:00 to 17:59; 00:00 to 05:59 ...).

This table contains 20 series, with data for years 2009 (not all combinations necessarily have data for all years), and was last released on 2014-06-19. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada excluding Territories ...), Type of vehicle (5 items: Total; all vehicles; Trucks 4.5 tonnes to 14.9 tonnes; Trucks 15 tonnes and over; Vehicles up to 4.5 tonnes ...), Type of fuel (4 items: Total; all fuel types; Gasoline; Other fuel type; Diesel ...).

This table contains 336 series, with data for years 2000 - 2009 (not all combinations necessarily have data for all years), and was last released on 2014-06-19. This table contains data described by the following dimensions (Not all combinations are available): Geography (14 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia ...), Year of vehicle model (24 items: Total; all vehicle model years; Current year minus 19 years or more; Current year minus 18 years; Current year minus 17 years ...).

This table contains 35 series, with data for years 1999 - 2009 (not all combinations necessarily have data for all years), and was last released on 2014-06-19. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada excluding Territories ...), Type of vehicle (5 items: Total; all vehicles; Vehicles up to 4.5 tonnes; Trucks 4.5 tonnes to 14.9 tonnes; Trucks 15 tonnes and over ...), Type of vehicle body (10 items: Total; all vehicles body types; Car; Station wagon; Van ...).

This table contains 15 series, with data for years 1999 - 2009 (not all combinations necessarily have data for all years), and was last released on 2014-06-19. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada excluding Territories ...), Type of vehicle (5 items: Vehicles up to 4.5 tonnes; Total; all vehicles; Buses; Trucks 4.5 tonnes to 14.9 tonnes ...), Type of road (3 items: Roads with posted maximum speed of 80 kilometres per hour or more; All other roads; Total; all roads ...).

For the market introduction of electric vehicles to be successful first-time adopters need to make continual purchases of the vehicles. Discontinuance, the act of abandoning a new technology after once being an adopter, has implications for market growth and could prevent electric vehicles ever reaching 100% market share. In December 2019 we resurveyed PEV owning housholds who we have prfeviously surveyed in 4 seperate cohort surveys. The data is from 5 survyes. The 5 questionnaire surveys conducted between 2015 and 2019 include 4 cohort surveys and a final panel survey where respondents are recruited form one of the first 4 surveys. The initial questionnaire surveys were conducted in 2015, 2016, 2017, and 2018. These surveys recruited households in California who purchased a PEV between 2012 and 2018. The California Air Resources Board helped in recruitment by sending survey invites to households who applied for a California Clean Vehicle Rebate. The final fifth survey was conducted in December 2019.

Note: Find data at source. ・ This dataset presents results from a survey of 906 FCV and 12,910 BEV households in California. The researcher investigated the sociodemographic profile of FCV buyers and compare them to BEV households. The publicly available dataset file includes the following information: response ID, date survey submitted, information on vehicle owned, ownership of previous PHEVs, BEVs, HEVs, CNGs, household income, home ownership, home type, highest level of education, longest trip in the last 12 months, number of trips over 200 miles in the last 12 months, one-way commute distance, number of people in the household, age, gender, number of vehicles in the household, and annual VMT estimate.

This table contains 70 series, with data for years 1999 - 2009 (not all combinations necessarily have data for all years), and was last released on 2014-06-19. This table contains data described by the following dimensions (Not all combinations are available): Geography (14 items: Prince Edward Island; Nova Scotia; Newfoundland and Labrador; Canada ...), Type of vehicle (5 items: Total; all vehicles; Trucks 15 tonnes and over; Trucks 4.5 tonnes to 14.9 tonnes; Vehicles up to 4.5 tonnes ...).

This table contains 55 series, with data for years 1999 - 2009 (not all combinations necessarily have data for all years), and was last released on 2014-06-19. This table contains data described by the following dimensions (Not all combinations are available): Geography (11 items: Total; all provinces; Newfoundland and Labrador; Prince Edward Island; Nova Scotia ...), Type of vehicle (5 items: Total; all vehicles; Vehicles up to 4.5 tonnes; Trucks 4.5 tonnes to 14.9 tonnes; Trucks 15 tonnes and over ...).

This table contains 15 series, with data for years 2000 - 2009 (not all combinations necessarily have data for all years), and was last released on 2014-06-19. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada excluding Territories ...), Type of vehicle (5 items: Vehicles up to 4.5 tonnes; Trucks 4.5 tonnes to 14.9 tonnes; Total; all vehicles; Buses ...), Type of road (3 items: Roads with posted maximum speed of 80 kilometres per hour or more; Total; all roads; All other roads ...).

This table contains 36 series, with data for years 2000 - 2009 (not all combinations necessarily have data for all years), and was last released on 2014-06-19. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada excluding Territories), Vehicle group (3 items: Total, all groups; Straight trucks; Other trucks), Type of vehicle (2 items: Trucks 4.5 tonnes to 14.9 tonnes; Trucks 15 tonnes and over), Trip purpose (6 items: Total, all trip purposes; Driving to or from service call; Carrying goods or equipment; No cargo; ...).

This table contains 40 series, with data for years 1999 - 2009 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada excluding Territories) Type of vehicle (5 items: Total, all vehicles; Vehicles up to 4.5 tonnes; Trucks 4.5 tonnes to 14.9 tonnes; Trucks 15 tonnes and over; ...) Days of the week (8 items: Total, all days of the week; Sunday; Monday; Tuesday; ...).

This table contains 56 series, with data for years 2004 - 2009 (not all combinations necessarily have data for all years), and was last released on 2014-06-19. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada excluding Territories ...), Type of vehicle (4 items: Total; all vehicles; Trucks 15 tonnes and over; Vehicles up to 4.5 tonnes; Trucks 4.5 tonnes to 14.9 tonnes ...), Type of vehicle body (10 items: Total; all vehicles body types; Car; Station wagon; Van ...), Type of fuel (2 items: Gasoline; Diesel ...).