Work environment, stress, and driving anger: a structural equation model for predicting traffic sanctions of public transport drivers

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dc.contributor.authorMontoro, Luis
dc.contributor.authorUseche, Sergio
dc.contributor.authorAlonso, Francisco
dc.contributor.authorCendales, Boris
dc.date.accessioned2019-08-21T19:01:52Z
dc.date.available2019-08-21T19:01:52Z
dc.date.issued2018
dc.description.abstractenglishPublic transport is an effective and sustainable alternative to private vehicle usage, also helping to reduce the environmental impact of driving. However, the work environment of public transport operators is full of adverse conditions, which, together with their high mileage, may increase the occurrence of negative safety outcomes such as traffic accidents, often preceded by risky road behaviors enhanced by stress, anger, and difficult operating conditions. The aims of this study were, first, to determine the association between work-related psychosocial factors and individual characteristics of public transport drivers and the rate of traffic sanctions they are subject to; and second, to assess the mediation of driving anger in this relationship. A sample of professional drivers (57.4% city bus, 17.6% taxi, and 25% inter-urban bus male operators) was used for this cross-sectional study, responding to a five-section survey including demographic data and driving-related factors, psychosocial work factors including job stress, driving stress, risk predisposition, and driving anger. The results of this study showed significant associations between work-related factors: measures of stress and self-reported rates of traffic fines. Second, it was found that driving anger mediates the associations between driving stress, risk predisposition, and traffic sanctions; and partially mediates the association between driving experience, hourly intensity, and job stress. This study supports the idea that traffic penalties reported by public transport rates are preceded by work-related, personality, and other individual factors that, when combined with driving anger, enhance the occurrence of road misbehavior that may affect overall road safety.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.3390/ijerph15030497
dc.identifier.instnameinstname:Universidad El Bosquespa
dc.identifier.issn1661-7827
dc.identifier.reponamereponame:Repositorio Institucional Universidad El Bosquespa
dc.identifier.repourlrepourl:https://repositorio.unbosque.edu.co
dc.identifier.urihttps://hdl.handle.net/20.500.12495/1645
dc.language.isoeng
dc.publisherMultidisciplinary Digital Publishing Institutespa
dc.publisher.journalInternational Journal of Environmental Research and Public Healthspa
dc.relation.ispartofseriesInternational Journal of Environmental Research and Public Health, 1661-7827, Vol. 15, Nro. 3, 2018, p. 1-12spa
dc.relation.urihttps://www.mdpi.com/1660-4601/15/3/497
dc.rightsAttribution 4.0 International*
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.rights.accessrightshttps://purl.org/coar/access_right/c_abf224
dc.rights.creativecommons2018
dc.rights.localAcceso abiertospa
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subject.armarcConductores de automóvilesspa
dc.subject.armarcAccidentes de tránsitospa
dc.subject.armarcPsicología del trabajospa
dc.subject.keywordsJob strainspa
dc.subject.keywordsStressspa
dc.subject.keywordsWorking conditionsspa
dc.titleWork environment, stress, and driving anger: a structural equation model for predicting traffic sanctions of public transport driversspa
dc.typearticlespa
dc.type.hasversioninfo:eu-repo/semantics/publishedVersion
dc.type.localartículospa

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