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

Sergio Useche; Luis Montoro; Boris Cendales; Viviola Gómez

doi:10.1016/j.dib.2018.05.036

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

Data Brief. 2018 May 18:19:293-298. doi: 10.1016/j.dib.2018.05.036. eCollection 2018 Aug.

Authors

Sergio Useche¹, Luis Montoro¹, Boris Cendales², Viviola Gómez³

Affiliations

¹ University of Valencia, Valencia, Spain.
² El Bosque University, Bogotá, Colombia.
³ University of Los Andes, Bogotá, Colombia.

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).

Keywords: Demand-Control Model; JCQ, Job Content Questionnaire; JDC, Job Demand-Control Model; Job strain; Professional driving; Public transport drivers; Traffic accidents; Traffic fines; Work stress; Working conditions.