Adoption and Use of Battery Electric Vehicles Among Older Drivers: A Review and Research Recommendations
Year: 2025
Type: article
Abstract: In the United States, transportation is the largest contributor to greenhouse gas emissions, with passenger vehicles accounting for the majority. Battery electric vehicles (BEVs) offer a significant opportunity to reduce emissions, as they have fewer emissions related to electricity generation compared to gasoline-powered vehicles. However, the benefits of BEVs are limited by their low adoption rates, particularly among older adults. In 2023, only 9.3% of vehicles on US roads were electric, and older adults (age 65 and above) have the lowest ownership and least interest in purchasing electric vehicles. This review aimed to understand the empirical data on the adoption and use of BEVs among older drivers, identify research gaps, and provide a research agenda to promote BEV use among this demographic for a more sustainable future. The review found that older drivers possess unique perceptions, often seeing more environmental benefits and fewer cost-related barriers than younger drivers, but concerns about charging infrastructure remain a significant obstacle. Notably, there is limited detailed research specific to older adults’ use patterns, charging behaviors, and the potential influence of socioeconomic factors. Future research should consider more nuanced age definitions, mixed-method approaches, and real-world behavioral studies over extended periods. A concerted effort toward understanding and addressing these barriers can inform strategies to increase BEV adoption among older adults, contributing to broader environmental goals. The review proposes a research agenda focused on understanding older adults’ adoption decisions, driving and charging behaviors, and effective training methods to facilitate BEV use.
Source: Sustainability
DOI: 10.3390/su17072810
Institution: University of Michigan
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,896
OpenAlex ID: W4408717596
