[HTML][HTML] Classification of potential electric vehicle purchasers: A machine learning approach

J Bas, C Cirillo, E Cherchi - Technological Forecasting and Social Change, 2021 - Elsevier
Among the many approaches towards fuel economy, the adoption of electric vehicles (EV)
may have the greatest impact. However, existing studies on EV adoption predict very …

Who will buy electric vehicles after early adopters? Using machine learning to identify the electric vehicle mainstream market

GZ de Rubens - Energy, 2019 - Elsevier
Electric vehicles (EVs) continue to penetrate passenger vehicle markets worldwide. Most
current EV markets remain in nascent stages, with buyers being categorised as early …

Which consumer attributes will act crucial roles for the fast market adoption of electric vehicles?: Estimation on the asymmetrical & heterogeneous consumer …

S Jang, JY Choi - Energy Policy, 2021 - Elsevier
Electric vehicles are currently gaining more attention in terms of mitigating the causes of
climate change. Therefore, automakers as well as many governments have fostered EV …

Electric vehicles as a sustainable energy Technology: Observations from travel survey data and evaluation of adoption with Machine learning method

Z Dai, B Zhang - Sustainable Energy Technologies and Assessments, 2023 - Elsevier
Governments worldwide are promoting Electric Vehicles (EVs) to achieve the energy
conservation and emissions reduction goal, but low penetration of EVs means that it still has …

Identifying and characterizing potential electric vehicle adopters in Canada: A two-stage modelling approach

M Mohamed, C Higgins, M Ferguson, P Kanaroglou - Transport Policy, 2016 - Elsevier
This article presents a two-stage structural equation modelling and segmentation process to
identify likely electric vehicle adopters in Canada. Using a sample of 3505 households who …

Electric vehicles and consumer choices

F Mandys - Renewable and Sustainable Energy Reviews, 2021 - Elsevier
Electric vehicles (EVs) have many attractive features compared to conventional vehicles
(CVs). Their main advantage lies in their significant economic benefits due to the much …

Predicting electric vehicle (EV) buyers in India: a machine learning approach

SK Dixit, AK Singh - The Review of Socionetwork Strategies, 2022 - Springer
Electric mobility has been around for a long time. In recent years, with advancements in
technology, electric vehicles (EVs) have shown a new potential to meet many of the …

Dynamic consumer heterogeneity in electric vehicle adoption

M Bockarjova, P Rietveld, J Knockaert, L Steg - 2014 - trid.trb.org
Combining psychographic and stated choice data to analyze individual choices and identify
sources of heterogeneity has long been applied in demand modelling. In this paper, the …

Antecedents of electric vehicle purchase intention from the consumer's perspective: A systematic literature review

G Ivanova, AC Moreira - Sustainability, 2023 - mdpi.com
The growing demand for conventional internal combustion engine vehicles can aggravate
the current energy and environmental crisis by presenting a higher dependence on fossil …

Predictors of electric vehicle adoption: An analysis of potential electric vehicle drivers in Austria

A Priessner, R Sposato, N Hampl - Energy policy, 2018 - Elsevier
Although barriers to the adoption of electric vehicles (EVs), such as purchase price, range
limitation, and charging infrastructure are diminishing, sales growth has still fallen short of …