6533b7d3fe1ef96bd126155a

RESEARCH PRODUCT

Job strain in public transport drivers: Data to assess the relationship between demand-control model indicators, traffic accidents and sanctions

Sergio A. UsecheLuis MontoroViviola GómezBoris Cendales

subject

Control (management)Applied psychologyWorking conditionsBivariate analysisRendimiento laborallcsh:Computer applications to medicine. Medical informatics03 medical and health sciences0302 clinical medicineJob strainPublic transport driversSanctionsPsychologyTraffic fines0501 psychology and cognitive sciences030212 general & internal medicineDemand-Control Modellcsh:Science (General)Work stressMultidisciplinaryJob strainDescriptive statisticsJDC Job Demand-Control ModelProfessional drivingbusiness.industryTraffic accidents05 social sciences050106 general psychology & cognitive sciencesWork (electrical)Work stressJCQ Job Content QuestionnairePublic transportEstudios de evaluaciónlcsh:R858-859.7businessPsychologyEstrés laborallcsh:Q1-390

description

This Data in Brief (DiB) article examines the association between the Job Demand-Control (JDC) model of stress and traffic safety outcomes (accidents and sanctions) in public transport drivers (n = 780). The data was collected using a structured self-administrable questionnaire composed of measurements of work stress (Job Content Questionnaire), and demographics (professional driving experience, hours and days working/driving per week). The data contains 4 parts: descriptive statistics, bivariate correlations between the study variables, analysis of variance (ANOVA) and Post-Hoc comparisons between drivers classified different quadrants of the JDC model. For further information, it is convenient to read the full article entitled “Working conditions, job strain and traffic safety among three groups of public transport drivers”, published in Safety and Health at Work (SHAW) [1] (Useche et al., 2018). Keywords: Public transport drivers, Professional driving, Work stress, Job strain, Demand-Control Model, Working conditions, Traffic accidents, Traffic fines

yearjournalcountryeditionlanguage
2018-08-01
10.1016/j.dib.2018.05.036