Mining electric vehicle adoption of users

Detalhes bibliográficos
Autor(a) principal: Rodrigues, Rui
Data de Publicação: 2021
Outros Autores: Albuquerque, Vitória, Ferreira, João Carlos, Dias, Miguel Sales, Martins, Ana Lúcia
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/128466
Resumo: Rodrigues, R., Albuquerque, V., Ferreira, J. C., Dias, M. S., & Martins, A. L. (2021). Mining electric vehicle adoption of users. World Electric Vehicle Journal, 12(4), 1-31. [233]. https://doi.org/10.3390/wevj12040233 ------------------------------------------------------------------------------------- Funding Information: Funding: This research was funded by the Foundation for Science and Technology (FCT) through ISTAR-IUL’s project UIDB/04466/2020 and UIDP/04466/2020. Funding Information: Acknowledgments: J.C.F. received support from the Portuguese National Funds through FITEC— Programa Interface, with reference CIT INOV—INESC INOVAÇÃO—Financiamento Base. Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
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spelling Mining electric vehicle adoption of usersBehaviorCharging processElectric vehiclesAutomotive EngineeringRodrigues, R., Albuquerque, V., Ferreira, J. C., Dias, M. S., & Martins, A. L. (2021). Mining electric vehicle adoption of users. World Electric Vehicle Journal, 12(4), 1-31. [233]. https://doi.org/10.3390/wevj12040233 ------------------------------------------------------------------------------------- Funding Information: Funding: This research was funded by the Foundation for Science and Technology (FCT) through ISTAR-IUL’s project UIDB/04466/2020 and UIDP/04466/2020. Funding Information: Acknowledgments: J.C.F. received support from the Portuguese National Funds through FITEC— Programa Interface, with reference CIT INOV—INESC INOVAÇÃO—Financiamento Base. Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.The increase of greenhouse gas emissions into the atmosphere, and their adverse effects on the environment, have prompted the search for alternative energy sources to fossil fuels. One of the solutions gaining ground is the electrification of various human activities, such as the transport sector. This trend has fueled a growing need for electrical energy storage in lithium batteries. Precisely knowing the degree of degradation that this type of battery accumulates over its useful life is necessary to bring economic benefits, both for companies and citizens. This paper aims to answer the current need by proposing two research questions about electric motor vehicles. The first focuses on habits EV owners practice, which may harm the battery life, and the second on factors that may keep consumers from purchasing this type of vehicle. This research work sought to answer these two questions, using a methodology from data science and statistical analysis applied to three surveys carried out on electric vehicle owners. The results allowed us to conclude that, except for the Year variable, all other factors had a marginal effect on the vehicles’ absolute autonomy degradation. Regarding obstacles of the adoption of electric vehicles, the biggest encountered was the insufficient coverage of the network of charging stations.NOVA Information Management School (NOVA IMS)RUNRodrigues, RuiAlbuquerque, VitóriaFerreira, João CarlosDias, Miguel SalesMartins, Ana Lúcia2021-11-29T23:39:58Z2021-12-012021-12-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article31application/pdfhttp://hdl.handle.net/10362/128466eng2032-6653PURE: 35107017https://doi.org/10.3390/wevj12040233info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:08:03Zoai:run.unl.pt:10362/128466Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:46:18.871758Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Mining electric vehicle adoption of users
title Mining electric vehicle adoption of users
spellingShingle Mining electric vehicle adoption of users
Rodrigues, Rui
Behavior
Charging process
Electric vehicles
Automotive Engineering
title_short Mining electric vehicle adoption of users
title_full Mining electric vehicle adoption of users
title_fullStr Mining electric vehicle adoption of users
title_full_unstemmed Mining electric vehicle adoption of users
title_sort Mining electric vehicle adoption of users
author Rodrigues, Rui
author_facet Rodrigues, Rui
Albuquerque, Vitória
Ferreira, João Carlos
Dias, Miguel Sales
Martins, Ana Lúcia
author_role author
author2 Albuquerque, Vitória
Ferreira, João Carlos
Dias, Miguel Sales
Martins, Ana Lúcia
author2_role author
author
author
author
dc.contributor.none.fl_str_mv NOVA Information Management School (NOVA IMS)
RUN
dc.contributor.author.fl_str_mv Rodrigues, Rui
Albuquerque, Vitória
Ferreira, João Carlos
Dias, Miguel Sales
Martins, Ana Lúcia
dc.subject.por.fl_str_mv Behavior
Charging process
Electric vehicles
Automotive Engineering
topic Behavior
Charging process
Electric vehicles
Automotive Engineering
description Rodrigues, R., Albuquerque, V., Ferreira, J. C., Dias, M. S., & Martins, A. L. (2021). Mining electric vehicle adoption of users. World Electric Vehicle Journal, 12(4), 1-31. [233]. https://doi.org/10.3390/wevj12040233 ------------------------------------------------------------------------------------- Funding Information: Funding: This research was funded by the Foundation for Science and Technology (FCT) through ISTAR-IUL’s project UIDB/04466/2020 and UIDP/04466/2020. Funding Information: Acknowledgments: J.C.F. received support from the Portuguese National Funds through FITEC— Programa Interface, with reference CIT INOV—INESC INOVAÇÃO—Financiamento Base. Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
publishDate 2021
dc.date.none.fl_str_mv 2021-11-29T23:39:58Z
2021-12-01
2021-12-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/128466
url http://hdl.handle.net/10362/128466
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2032-6653
PURE: 35107017
https://doi.org/10.3390/wevj12040233
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eu_rights_str_mv openAccess
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