“…The results can have implications for charging infrastructure planning, as the obvious rise in EV adoption depends on the charging infrastructure, which is consistent with past findings [59]. Homeowners and owners of detached houses with private charging focus more on adopting EVs [54,57]. Additionally, this research can be expanded in the future to comprehend the effects of charging behavior on potential EV users.…”
Section: Discussionsupporting
confidence: 84%
“…According to previous studies conducted in California, people (BEV owners) with high incomes, old age, and owners of detached houses prefer to charge at home [56]. Well-educated and wealthy people with EVs rarely charge at public stations or workplaces [57].…”
This study focuses on charging-related decisions for fast charging at highway service and parking areas, slow charging at home, fast charging at commercial facilities, and fast and slow charging at workplaces. This research contributes to the existing literature by estimating the charging behavior variables, as well as understanding the role of explanatory variables in influencing charging-related decisions. Responses from the stated preference (SP) survey in Japan in 2021 were analyzed with a mixed logit model (MXL). The results showed that, (1) when the battery level is 75% or higher, users of battery electric vehicles (BEVs) are not keen to charge their vehicles, but when the next trip is anticipated to be 50 or more kilometers, they choose to charge their vehicles; (2) individuals are not willing to tolerate any waiting time for their vehicles to be charged at each location; and (3) the recurrence of charging at the target location affects the charging decision of BEV users. We found significant relationships between socioeconomic characteristics and charging decisions. Furthermore, we examined the practical applications of the empirical findings in this study for policymaking and charging infrastructure planning.
“…The results can have implications for charging infrastructure planning, as the obvious rise in EV adoption depends on the charging infrastructure, which is consistent with past findings [59]. Homeowners and owners of detached houses with private charging focus more on adopting EVs [54,57]. Additionally, this research can be expanded in the future to comprehend the effects of charging behavior on potential EV users.…”
Section: Discussionsupporting
confidence: 84%
“…According to previous studies conducted in California, people (BEV owners) with high incomes, old age, and owners of detached houses prefer to charge at home [56]. Well-educated and wealthy people with EVs rarely charge at public stations or workplaces [57].…”
This study focuses on charging-related decisions for fast charging at highway service and parking areas, slow charging at home, fast charging at commercial facilities, and fast and slow charging at workplaces. This research contributes to the existing literature by estimating the charging behavior variables, as well as understanding the role of explanatory variables in influencing charging-related decisions. Responses from the stated preference (SP) survey in Japan in 2021 were analyzed with a mixed logit model (MXL). The results showed that, (1) when the battery level is 75% or higher, users of battery electric vehicles (BEVs) are not keen to charge their vehicles, but when the next trip is anticipated to be 50 or more kilometers, they choose to charge their vehicles; (2) individuals are not willing to tolerate any waiting time for their vehicles to be charged at each location; and (3) the recurrence of charging at the target location affects the charging decision of BEV users. We found significant relationships between socioeconomic characteristics and charging decisions. Furthermore, we examined the practical applications of the empirical findings in this study for policymaking and charging infrastructure planning.
“…Recent reviews have highlighted that research on equity and charging infrastructure has to date focused predominantly on questions of placement (Kontou et al 2022, Carlton and Sultana 2023, Hopkins et al 2023 and distribution (Baker et al 2023). By drawing on grey literature and news reports, in addition to academic literature, we identify additional dimensions of charging equity that we argue are important to consider in charging infrastructure planning and research.…”
Section: A Framework For Assessing Equity In Public Charging Infrastr...mentioning
The shift toward electric vehicles (EVs) as a decarbonization strategy in transportation raises important energy justice concerns, particularly regarding fair access to charging infrastructure. This perspective synthesizes evidence on how access to, and experience of, charging infrastructure may differ across socio-economic groups across North America. We present a framework for assessing charging infrastructure equity that includes: (i) accessibility—proximity, reliability, visibility, affordability; and (ii) user experiences related to safety, payment ease, and co-located other services. The framework helps characterize the varied impacts across socio-demographic groups, including on low-income and marginalized communities. We explore how the direct and indirect effects of accessibility and user experience might influence the distribution and design of EV charging stations. Considerations of socio-economic diversity in the deployment of charging infrastructure are critical to ensure equitable benefits from electric mobility. We conclude that targeted actions from manufacturers, charging operators, and governments are needed to alleviate the disparities in access and experiences with public EV charging.
“…High public charging costs will be faced by households in shared dwellings: Households in shared dwellings (such as apartments) are typically disadvantaged by constraints on charging EVs at home [74]. Such households may have to rely more heavily on public charging infrastructure, and therefore disproportionately face higher costs than households that are able to charge at home.…”
The high cost of purchasing electric vehicles (EVs) compared to internal combustion engine vehicles (ICEVs) is a major barrier to their widespread adoption. Additionally, the price disparity is not the same for all households. We conducted a total cost of ownership (TCO) analysis to compare the net present value of EV versus ICEV ownership for various household categories across Canada. We observed spatial and behavioral factors, including variations in costs of electricity, temperature, household archetypes and their purchase decisions, and access to charging infrastructure. We found that EVs are more cost-effective than ICEVs for certain daily driving distances, but typical households in Canada generally do not drive enough for lifecycle costs of EVs to be less than ICEVs. The province of Quebec has the most favorable conditions for EV ownership due to high purchase subsidies and low electricity prices. Variability in costs across other provinces and territories is mainly due to differences in rebates, electricity and gasoline prices, and tax rates. Our findings have implications for policymakers and consumers. For consumers comparing ICEVs to EVs based on a fixed budget, which may be consistent with how many households frame their purchase decision, willingness to accept smaller, non-luxury EVs can result in large cost savings. We also find that although temperature variation has a minimal effect on TCO, it does impact the “number of charge-ups”—a metric that we introduce to compare how many charging cycles a user may expect over the lifetime of a vehicle. The policy implication of this would be a need to consider regional differences in cold weather patterns when planning charging infrastructure deployment and the extent to which households in shared dwellings may face additional costs. Lastly, our findings strengthen the argument that equitably decarbonizing transportation will also require investment in strategies other than electrifying personal vehicles.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.