Abstract
This article explores the possible socio-demographic characteristics and factors that contribute to electric vehicle (EV) owner commuting patterns and travel behavior. The objective of the study is to inform decision makers of EV policies by identifying these influencing attributes. In total, 1,257 EV owners in Maryland completed usable surveys. Researchers employed a set of statistical analysis methods to analyze the data. They constructed a multinomial logistic regression to examine the associations between EV owner characteristics and their commuting patterns and compared the results to the spatial travel patterns of drivers of internal combustion engine vehicles (ICEV) in Maryland. The results of this study showed that socio-demographic factors including age, education, income, household size, the number of vehicles in the house, and political affiliation played a significant role in the commuting behavior and patterns of EV drivers. Moreover, about 60% of EV commuting trips originated from suburban areas, and 30% of all of EV commutes were suburban to suburban.
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