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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.accessioned2023-03-01T14:23:32Z
dc.date.available2023-03-01T14:23:32Z
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 is the remaining sector where emissions are still above the 1990 emissions level, being the road transportation the biggest emitter and the main share of transport energy demand. Main elements of the strategy plan are the increasing efficiency of the transport system and the use of low emission energy sources for transport, 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 alternative energies and vehicles in road transportation. A Benefit-of-the-doubt (BoD) model based on Data Envelopment Analysis is used to calculate a composite indicator (CI) for several European countries, aggregating several sub-indicators built from a dataset for the 2019 year.pt_PT
dc.description.sponsorshipAcknowledgement: This work has been supported by FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UIDB/05757/2020pt_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 IO 2021 Analytics for a Better World. Figueira da Fozpt_PT
dc.identifier.urihttp://hdl.handle.net/10198/27371
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.titleA DEA approach to evaluate the electric mobility deployment in european countriespt_PT
dc.typeconference poster
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 da Fozpt_PT
oaire.citation.titleIO 2021 Analytics for a Better Worldpt_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.latestForDiscovery34bc350c-28d9-4b06-9874-b2b0dba58d1d
relation.isProjectOfPublication6e01ddc8-6a82-4131-bca6-84789fa234bd
relation.isProjectOfPublication.latestForDiscovery6e01ddc8-6a82-4131-bca6-84789fa234bd

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