Analyzing purchase intentions of used electric vehicles through consumer experiences: A structural equation modeling approach

The transition rate to electric vehicles (EVs) has accelerated globally as indicated by a notable rise in the number of used EVs in the market. However, most existing studies focused on the attributes related to the new EVs. This study explores the factors influencing consumer purchase intentions of used EVs using structural equation modeling (SEM). Drawing on a survey of 992 used EV owners in the United States, the research examines the impact of sociodemographic characteristics, purchase details, information sources, pre-purchase concerns, current driving and charging experiences, and future purchase intentions. The findings reveal that charging ease has the strongest positive direct effect on future purchase intentions, while information sources and driving experience show negative direct effects. Sociodemographic characteristics and pre-purchase concerns indirectly influence future intentions through other factors. More specifically, income level, education, and Hispanic ethnicity positively contribute to the sociodemographic profile of EV owners. Further, traditional media plays a significant role in disseminating EV information, although online searches show a negative relationship with information source engagement. This comprehensive approach provides a nuanced understanding of the dynamics within the used EV market, ultimately supporting sustainable transportation initiatives. The study highlights the importance of addressing charging infrastructure, battery performance, and affordability concerns to enhance the used EV market's growth.