2019 EV infrastructure and purchase choice survey

This dataset contains results from a stated choice experiment set in a context where respondents are buying their next personal car. Before the choice experiment, respondents answered questions about their socio-economic background and were asked about their preferences for a new car or a used car for next car purchase, and then were directed to scenarios of new car options or used car options accordingly. The choice tasks were generated using an orthogonal design with 240 fractional factorial scenarios extracted from the full factorial combinations. Each respondent was randomly assigned to 6 of the 240 tasks. Each task provided two purchase options: a conventional car powered by gasoline; and an electric version of the conventional car, which runs solely on electricity but is otherwise identical to the conventional car. Key attributes that varied between choice tasks were purchase price, driving range, walking distance of the nearest slow charging options from home and to work, fast charging time, fast charging availability in town, and fast charging availability on highway. The gasoline car option is the reference alternative with all attribute levels fixed throughout the entire experiment. The survey was designed and implemented in SurveyMonkey, an online survey platform, and respondents were recruited and paid through Amazon Mechanical Turk (MTurk). Respondents were recruited from among car owners who have completed at least 100 tasks on MTurk with a minimum 95% acceptance rate.