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.

本数据集包含一项陈述选择实验（stated choice experiment）的结果，实验场景设定为受访者购置其下一台私人乘用车。在开展选择实验前，受访者需填写社会经济背景相关问卷，并回答其购置下一辆车辆时对新车或二手车的偏好，随后将根据其偏好被引导至对应新车或二手车的选择场景。本次选择任务采用正交设计（orthogonal design）生成，从全因子组合中提取240个部分因子试验场景作为任务集。每位受访者将被随机分配至240项任务中的6项。每项任务均提供两款购车选项：一款为汽油动力传统燃油车；另一款为该燃油车的电动版本，该车型仅以电力驱动，其余配置与燃油版完全一致。各项选择任务间存在差异的核心属性包括：购车价格、续航里程、家至就近慢充桩的步行距离、通勤上班地至就近慢充桩的步行距离、快充时长、城镇快充桩覆盖情况以及高速公路快充桩覆盖情况。汽油动力燃油车选项作为参照组，在整个实验过程中所有属性水平均保持固定。本调查通过在线调研平台SurveyMonkey设计并实施，受访者招募与报酬发放均通过亚马逊机械 Turk（Amazon Mechanical Turk，简称MTurk）完成。受访者招募范围限定为在MTurk平台上已完成至少100项任务且任务通过率不低于95%的私家车车主。