Update to paper published in the proceedings of the 31st International Electric Vehicles Symposium (Kobe, Japan 2018):
Findings inform targeted marketing/education/outreach efforts, incentive program design, and other supportive policies.
Uses logistic regression to examine the relationship between rebate influence and consumer factors (demographic, household, and transaction characteristics; motivations; and experience).
Uses 2016–2017 data characterizing rebated California plug-in electric vehicle (EV) consumers.
Models adopters of battery EVs and plug-in hybrid EVs separately to capture their unique qualities and circumstances.