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dc.contributor.authorLeonavičienė, Teresė
dc.contributor.authorPukalskas, Saugirdas
dc.contributor.authorPumputis, Vidmantas
dc.contributor.authorSmagurauskaitė, Erika
dc.contributor.authorŽuraulis, Vidas
dc.date.accessioned2023-09-18T20:35:10Z
dc.date.available2023-09-18T20:35:10Z
dc.date.issued2020
dc.identifier.issn1822-427X
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/151096
dc.description.abstractThe purpose of this paper is to analyse the possibility for predicting the outcome of a road traffic accident concerning the traffic environment, personal traits of the traffic participant and the vehicle, i.e. aiming to answer the question whether specific values of the factors analysed to increase the likelihood of a fatal accident. The logistic regression model that allows identifying the relationship between the dependent and independent variables were used in the research. Other methods for describing and analysing categorical variables were also used alongside the logistic regression. When analysing the results, it was recognised that the odds ratio above 1 shows a higher likelihood for a representative of the category in question to be involved in a fatal accident compared to a representative of the base category. Odds ratios of likelihoods for calculation of the road traffic accident types show that the likelihood of a fatal accident is statistically significant affected by rollovers or driving into obstacles, compared to vehicular collisions. When summarising the results, it was stated that most of the factors researched have an impact on the outcome of a road traffic accident. The influence of some factors has a higher probability of resulting in a fatal accident as compared to other factors.eng
dc.formatPDF
dc.format.extentp. 1-20
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyDOAJ
dc.relation.isreferencedbyIndex Copernicus
dc.relation.isreferencedbyINSPEC
dc.relation.isreferencedbyTOC Premier
dc.relation.isreferencedbyVINITI
dc.rightsLaisvai prieinamas internete
dc.source.urihttps://bjrbe-journals.rtu.lv/article/view/bjrbe.2020-15.504
dc.source.urihttps://talpykla.elaba.lt/elaba-fedora/objects/elaba:78666028/datastreams/MAIN/content
dc.titleInvestigation of factors that have affected the outcomes of road traffic accidents on Lithuanian roads
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.accessRightsThis is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dcterms.licenseCreative Commons – Attribution – 4.0 International
dcterms.references28
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionVilniaus Gedimino technikos universitetas BPN Media Agency
dc.contributor.facultyFundamentinių mokslų fakultetas / Faculty of Fundamental Sciences
dc.contributor.facultyTransporto inžinerijos fakultetas / Faculty of Transport Engineering
dc.subject.researchfieldN 001 - Matematika / Mathematics
dc.subject.researchfieldT 003 - Transporto inžinerija / Transport engineering
dc.subject.studydirectionA01 - Matematika / Mathematics
dc.subject.studydirectionE12 - Transporto inžinerija / Transport engineering
dc.subject.vgtuprioritizedfieldsTD0404 - Eismo saugos technologijos / Traffic safety technologies
dc.subject.ltspecializationsL106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies
dc.subject.enaccident data
dc.subject.enfatal accident
dc.subject.enlogistic regression
dc.subject.enroad safety
dc.subject.enroad traffic accident
dcterms.sourcetitleThe Baltic journal of road and bridge engineering
dc.description.issueiss. 5
dc.description.volumevol. 15
dc.publisher.nameRTU Press
dc.publisher.cityRiga
dc.identifier.doi000603019300001
dc.identifier.doi10.7250/bjrbe.2020-15.504
dc.identifier.elaba78666028


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