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A DEA approach to evaluate the electric mobility deployment in european countries

dc.contributor.authorVaz, Clara B.
dc.contributor.authorFerreira, Ângela P.
dc.date.accessioned2023-03-01T15:15:41Z
dc.date.available2023-03-01T15:15:41Z
dc.date.issued2021
dc.description.abstractThe European green deal embodies an ambitious plan to fight the climate change, aiming to achieve carbon neutrality, by 2050. Transportation isthe remaining sector where emissions are still above the 1990 emissions level, being the road transportation the biggest emitter and the mainshare of transport energy demand.Main elements of the strategy plan are theincreasing efficiency of the transport systemand the use oflow-emission energy sourcesfortransport, which can be accomplished by the deployment of the battery electric vehicles and plug-in hybrid electric vehicles (PEV).This work aims to assess the performance of European countries (27 EU and United Kingdom) on the deployment of low-emission alternativeenergies and vehicles in road transportation. A Benefit-of-the-doubt (BoD) model based on Data Envelopment Analysis is used to calculate acomposite indicator (CI) for several European countries, aggregating several sub-indicators built from a dataset for the 2019 year.pt_PT
dc.description.sponsorshipThis work has been supported by FCT - Fundação para a Ciência e Tecnologia within the Project Scope: UIDB/05757/2020.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationVaz, Clara B.; Ferreira, Ângela P. (2021). A DEA approach to evaluate the electric mobility deployment in european countries. In XXI Congresso da APDIO. Figueira da Fozpt_PT
dc.identifier.urihttp://hdl.handle.net/10198/27381
dc.language.isoengpt_PT
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectDEApt_PT
dc.subjectPerformancept_PT
dc.subjectElectric mobilitypt_PT
dc.titleA DEA approach to evaluate the electric mobility deployment in european countriespt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.citation.conferencePlaceFigueira de Fozpt_PT
oaire.citation.titleXXI Congresso da APDIOpt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameVaz
person.familyNameFerreira
person.givenNameClara B.
person.givenNameÂngela P.
person.identifierR-001-FQC
person.identifier.ciencia-id9611-3386-E516
person.identifier.ciencia-id2211-6787-D936
person.identifier.orcid0000-0001-9862-6068
person.identifier.orcid0000-0002-1912-2556
person.identifier.ridF-1519-2016
person.identifier.ridM-8188-2013
person.identifier.scopus-author-id56352045500
person.identifier.scopus-author-id55516840300
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication34bc350c-28d9-4b06-9874-b2b0dba58d1d
relation.isAuthorOfPublication3fec941d-79fb-4901-918d-a34ffa0195cc
relation.isAuthorOfPublication.latestForDiscovery3fec941d-79fb-4901-918d-a34ffa0195cc
relation.isProjectOfPublication6e01ddc8-6a82-4131-bca6-84789fa234bd
relation.isProjectOfPublication.latestForDiscovery6e01ddc8-6a82-4131-bca6-84789fa234bd

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