Work stress, fatigue and risk behaviors at the wheel: Data to assess the association between psychosocial work factors and risky driving on Bus Rapid Transit drivers

• Main Authors: Sergio Useche, Boris Cendales, Viviola Gómez
• Format: Article
• Language: English
• Published: Elsevier 2017-12-01
• Series: Data in Brief
• Online Access: http://www.sciencedirect.com/science/article/pii/S2352340917304638

This Data in Brief (DiB) article presents a hierarchical multiple linear regression model that examine the associations between psychosocial work factors and risk behaviors at the wheel in Bus Rapid Transit (BRT) drivers (n=524). The data were collected using a structured self-administrable questionnaire made of measurements of wok stress (job strain and effort- reward imbalance), fatigue (need for recovery and chronic fatigue), psychological distress and demographics (professional driving experience, hours driven per day and days working per week). The data contains 4 parts: descriptive statistics, bivariate correlations between the study variables and a regression model predicting risk behaviors at the wheel and the entire study dataset. For further information, it is convenient to read the full article entitled âStress-related Psychosocial Factors at Work, Fatigue, and Risky Driving Behavior in Bus Rapid Transport (BRT) Driversâ, published in Accident Analysis & Prevention. Keywords: Professional drivers, Work stress, Fatigue, Psychological distress, Risk behaviors, Bus Rapid Transport, BRT