Adoption barriers for electric vehicles: Experiences from early adopters in Sweden

By Iana Vassileva, J. Campillo. 2017

256 citations recorded by the source corpus.

Electric vehicles are considered as one of the most effective technologies for reducing current greenhouse gas emissions from the transport sector. Although in many countries, local and national governments have introduced incentives and subsidies to facilitate the electric vehicle market penetration, in Sweden, such benefits have been limited. Results from a survey carried out among private owners of electric vehicles are presented in this paper, including the analysis of the respondents socio-demographic characteristics, reasons for choosing an electric vehicle, charging locations and driving preferences, among others. The main results characterize current electric vehicle drivers as male, well-educated, with medium-high income; electric vehicles are used mainly for private purposes and charged at home during night time. Furthermore, the paper presents an analysis of the impact of large-scale penetration of electric vehicles on existing power distribution systems. The findings presented in this paper provide important insights for assuring a sustainable large-scale penetration of electric vehicles by learning from the experiences of early adopters of the technology and by analyzing the impact of different EV penetration scenarios on the power distribution grid.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/1ff3bb6a85dcaffacdedd32b6128a9419e83c3de

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. L. Noel
2. Benjamin Sovacool
3. Johannes Kester
4. G. Rubens

In Electrical and Electronic Engineering

1. L. Noel
2. Benjamin Sovacool
3. Johannes Kester
4. Chien-fei Chen
5. G. Rubens

Citations in the corpus

• Assessing the socio-demographic, technical, economic and behavioral factors of Nordic electric vehicle adoption and the influence of vehicle-to-grid preferences (2020, background): “Among all the demographics, age, income, the number of children, Iceland (the strongest predictor in Model 2) and Sweden were significant predictors, in contrast, gender became insignificant, and living in rural areas remained insignificant.”
• The rise of electric vehicles—2020 status and future expectations (2021, unknown): “A number of studies analyze the drivers of EV adoption (Vassileva and Campillo 2017, Priessner et al 2018) and highlight several barriers for EVs to achieve widespread success, including consumer skepticism for new technologies (Egbue and Long 2012); uncertainty around environmental benefits…”