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 (accidents and sanctions) in public transport drivers (n = 780). The data was collected using a structured self-administrable questionnaire composed of measureme...

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Bibliographic Details
Main Authors: Sergio Useche, Luis Montoro, Boris Cendales, Viviola Gómez
Format: Article
Language:English
Published: Elsevier 2018-08-01
Series:Data in Brief
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340918305420
Description
Summary: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
ISSN:2352-3409