Strategically Targeting Plug-in Electric Vehicle Rebates and Outreach Using Characteristics of 'Rebate-Essential' Consumers in 2016-2017: Presented at EVS 31 EVTeC 2018, Kobe, Japan, October 1 - 3, 2018

摘要

Public and private investments to increase electric-vehicle (EV) awareness and adoption seek to be strategic, cost-effective, and minimize free-ridership. Building upon previous research, this work uses logistic regression to examine the relationship between rebate influence and consumer factors (demographic, household, and transaction characteristics; motivations; and experience). Using 2016-2017 data characterizing rebated California plug-in EV consumers (n=5,340), it models adopters of battery EVs and plug-in hybrid EVs separately to capture their unique qualities and circumstances. Changes relative to 2013-2015 data are discussed relative to expectations. Findings inform targeted marketing/education/outreach efforts, incentive program design, and other supportive policies.