Exploring the influence of socio-demographic characteristics on the intention to share private electric vehicle chargers

The increasing global adoption of electric vehicles (EVs) has led to significant pressure on the development of the charging infrastructure. In this context, prior studies have proposed the need to use private EV chargers via charging sharing services (CSS) as a complementary solution. This research position CSS as a potential transitional and long-term solution to the challenges of urban EV charging, particularly in areas with limited public EV chargers. The study extends the aforementioned nascent field of research by exploring the importance of socio-demographic characteristics in shaping London private EV charger owners intentions to share them. Through the analysis of survey data and utilising an approach that combines binary logistic regression and decision tree models, the research identifies key predictors of intentions to share chargers. The findings also highlight several characteristics that are more likely to influence charger owners’ intentions and the adoption of CSS. These include homeownership, a higher income, older age, substantial driving experience, and the presence of children. Targeted strategies can be implemented based on these findings to facilitate the use of charger sharing services in the future, thereby contributing to a more efficient EV charging network.