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dc.contributor.authorIşık, Mineen_US
dc.contributor.authorSarıca, Kemalen_US
dc.contributor.authorAri, İzzeten_US
dc.date.accessioned2020-09-07T10:05:07Z
dc.date.available2020-09-07T10:05:07Z
dc.date.issued2020-08-01
dc.identifier.citationIşık, M., Sarıca, K. & Ari, İ. (2020). Driving forces of Turkey's transportation sector CO2 emissions: An LMDI approach. Transport Policy, 97, 210-219. doi:10.1016/j.tranpol.2020.07.006en_US
dc.identifier.issn0967-070X
dc.identifier.issn1879-310X
dc.identifier.urihttps://hdl.handle.net/11729/2371
dc.identifier.urihttp://dx.doi.org/10.1016/j.tranpol.2020.07.006
dc.description.abstractThe transportation sector is one of the main contributors to global greenhouse gas (GHG) emissions. As the efforts towards emission mitigation increase, the expectation from the sector arises equally. In this analysis, the transportation sector of Turkey is studied to shed light on the future based on historical realizations. In this respect, the Logarithmic Mean Divisia Index (LMDI) method is used to assess and reveal the influential factors on CO2 emissions in the sector between 2000 and 2017. The emission intensity of the sector and fuel switching shows promising trends from 2000 through 2010, whereas growing preference for SUVs challenges emission reductions between 2010 and 2017. The results indicate that i) The transportation sector CO2 emissions are mainly driven upwards by economic growth, followed by population and emission intensity effects from 2000 to 2017 ii) The overall impact of transportation intensity shows significant reduction potential iii) Fuel switching incentives and fleet efficiency have a positive effect on emission mitigation from 2000 through 2010. However, this gain is reduced due to the rising popularity of SUVs in the rest of the analysis period. In this respect, CO2 emission mitigation in the transportation sector necessitates 1) careful planning of demand management for freight transportation including master designs production/manufacturing sites, material flows, and demand points coupled with economic activities 2) passenger transportation measures to reduce passenger car travel including zoning for public transit corridors, improved public transportation system 3) well-structured incentives on energy-efficient cars and clean energy technologies such as electric vehicles to convince individuals. Analysis can be generalized on a global scale due to the similar dynamics inherent in the sector.en_US
dc.language.isoengen_US
dc.publisherElsevier Ltden_US
dc.relation.isversionof10.1016/j.tranpol.2020.07.006
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCO2 emissionsen_US
dc.subjectLMDIen_US
dc.subjectTransportation sectoren_US
dc.subjectCarbon dioxideen_US
dc.subjectCarbon emissionen_US
dc.subjectDemand analysisen_US
dc.subjectEmission controlen_US
dc.subjectEmission inventoryen_US
dc.subjectFreight transporten_US
dc.subjectMitigationen_US
dc.subjectTraffic emissionen_US
dc.subjectTraffic managementen_US
dc.subjectTransportation planningen_US
dc.subjectTurkeyen_US
dc.subjectCarbon-dioxide emissionsen_US
dc.subjectDecomposition analysisen_US
dc.subjectEnergy-consumpionen_US
dc.subjectRenewable energyen_US
dc.subjectChinaen_US
dc.subjectIntensityen_US
dc.subjectEuropeen_US
dc.titleDriving forces of Turkey's transportation sector CO2 emissions: An LMDI approachen_US
dc.typearticleen_US
dc.description.versionPublisher's Versionen_US
dc.relation.journalTransport Policyen_US
dc.contributor.departmentIşık Üniversitesi, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.contributor.departmentIşık University, Faculty of Engineering, Department of Industrial Engineeringen_US
dc.contributor.authorID0000-0001-7277-3764
dc.identifier.volume97
dc.identifier.startpage210
dc.identifier.endpage219
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.contributor.institutionauthorSarıca, Kemalen_US
dc.relation.indexWOSen_US
dc.relation.indexScopusen_US
dc.relation.indexSocial Sciences Citation Index (SSCI)en_US
dc.description.qualityQ1
dc.description.wosidWOS:000573049500003


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