Abstract
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).
Highlights
Job strain in public transport drivers: Data to assess the relationship between demand-control model indicators, traffic accidents and sanctions
This Data in Brief (DiB) article examines the association between the Job Demand-Control (JDC) model of stress and traffic safety outcomes in public transport drivers (n 1⁄4 780)
The data was collected using a structured self-administrable questionnaire composed of measurements of work stress (Job Content Questionnaire), and demographics
Summary
In this cross-sectional study, participants were a sample of n 1⁄4 780 male professional drivers working in public transport companies of Bogotá (Colombia): 448 (57.4%) city bus drivers, 195 (17.6%) taxi drivers, and 137 (25%) inter-urban bus drivers, with a mean age of x 1⁄4 41.13 [18–76 range] (SD 1⁄4 11.3), and an average driving experience of x 1⁄4 17.6 (SD 1⁄4 9.87) years. Women were excluded from crossed analyses due to their underrepresentation in the public transport drivers’ occupational group (approximately 98.5% of the total sample was composed of males)
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