Data from Helveston et al. (2015) containing 448 stated choice observations from Chinese car buyers and 384 stated choice observations from US car buyers. Conjoint surveys were fielded in 2012 in four major Chinese cities (Beijing, Shanghai, Shenzhen, and Chengdu), online in the US on Amazon Mechanical Turk, and in person at the Pittsburgh Auto show. Participants were asked to select a vehicle from a set of three alternatives. Each participant answered 15 choice questions.

data(cars_us)

Format

VariableDescription
idindividual identifiers
obsnumidentifier for unique choice observation
choicedummy code for choice (1 or 0)
hevdummy code for HEV vehicle type (1 or 0)
phev10dummy code for PHEV vehicle type w/10 mile electric driving range (1 or 0)
phev20dummy code for PHEV vehicle type w/20 mile electric driving range (1 or 0)
phev40dummy code for PHEV vehicle type w/40 mile electric driving range (1 or 0)
bev75dummy code for BEV vehicle type w/75 mile electric driving range (1 or 0)
bev100dummy code for BEV vehicle type w/100 mile electric driving range (1 or 0)
bev150dummy code for BEV vehicle type w/150 mile electric driving range (1 or 0)
phevFastchargedummy code for whether PHEV vehicle had fast charging capability (1 or 0)
bevFastchargedummy code for whether BEV vehicle had fast charging capability (1 or 0)
priceprice of vehicle ($USD)
opCostoperating cost of vehicle (US cents / mile)
accelTime0-60 mph acceleration time (seconds)
americandummy code for whether American brand (1 or 0)
japanesedummy code for whether Japanese brand (1 or 0)
chinesedummy code for whether Chinese brand (1 or 0)
skoreandummy code for whether S. Korean brand (1 or 0)
weightsweights for each individual computed so that the sample age and income demographics matched with those of the general car-buying population

Source

Raw data downloaded from this repo

References

Helveston, J. P., Liu, Y., Feit, E. M., Fuchs, E. R. H., Klampfl, E., & Michalek, J. J. (2015). "Will Subsidies Drive Electric Vehicle Adoption? Measuring Consumer Preferences in the U.S. and China." Transportation Research Part A: Policy and Practice, 73, 96–112. doi: 10.1016/j.tra.2015.01.002

Examples

data(cars_us) head(cars_us)
#> # A tibble: 6 × 20 #> id obsnum choice hev phev10 phev20 phev40 bev75 bev100 bev150 #> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> #> 1 1 1 1 0 0 0 0 0 0 1 #> 2 1 1 0 0 0 0 0 0 0 0 #> 3 1 1 0 0 0 0 0 0 0 1 #> 4 1 2 1 0 0 0 0 0 1 0 #> 5 1 2 0 0 0 0 0 1 0 0 #> 6 1 2 0 0 0 0 0 0 0 0 #> # … with 10 more variables: phevFastcharge <dbl>, bevFastcharge <dbl>, #> # price <dbl>, opCost <dbl>, accelTime <dbl>, american <dbl>, japanese <dbl>, #> # chinese <dbl>, skorean <dbl>, weights <dbl>