Understanding the factors that will influence people’s preferences for Electric Vehicles (EVs) over Internal Combustion Engine Vehicles (ICEVs) is crucial. A discrete choice experiment was designed and administered as an online survey resulting in 1077 completed questionnaires. This study examined the influence of over 83 variables on preferences for EVs. As well, previous studies have used tailpipe emissions only to present GHG information, but in this study lifecycle GHG emissions of vehicles are presented. Five ensemble learning techniques and two interpretation techniques were employed to investigate individual decisions regarding selecting between EVs and ICEVs. The results demonstrate that when lifecycle emissions are presented, financial impacts are the principal influences on predicting preference for an EV over ICEV. Following the financial impacts are existing preferences for EVs and attitudes related to climate change. How the emissions are presented was the 12th and 9th most influential factor for BEVs and PHEVs respectively.

了解影响人们对电动汽车 (EV) 相对于内燃机汽车 (ICEV) 的偏好的因素至关重要。设计了一项离散选择实验，并以在线调查的形式进行，共完成了 1077 份问卷。这项研究考察了超过 83 个变量对电动汽车偏好的影响。同样，以前的研究仅使用尾气排放来提供温室气体信息，但在本研究中提供了车辆生命周期的温室气体排放。采用五种集成学习技术和两种解释技术来调查有关在 EV 和 ICEV 之间进行选择的个人决策。结果表明，当提出生命周期排放时，财务影响是预测电动汽车相对于内燃机汽车的偏好的主要影响因素。财务影响之后是现有的对电动汽车的偏好以及与气候变化相关的态度。对于纯电动汽车和插电式混合动力汽车而言，排放量的呈现方式分别排名第 12 位和第 9 位。