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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

机译:车轮上的工作压力疲劳和危险行为:评估社会心理工作因素与快速公交驾驶员危险驾驶之间的关系的数据

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摘要

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 “Stress-related Psychosocial Factors at Work, Fatigue, and Risky Driving Behavior in Bus Rapid Transport (BRT) Drivers”, published in Accident Analysis & Prevention.
机译:这份简短的数据(DiB)文章提出了一种分层的多元线性回归模型,该模型研究了社会心理工作因素与快速公交(BRT)驾驶员(n = 524)的车轮处的危险行为之间的关联。数据是使用结构化的自我管理问卷收集的,该问卷由测量工作压力,工作压力和工作量-奖励失衡,疲劳(恢复和慢性疲劳所需),心理困扰和人口统计(专业驾驶经验,每天开车的小时数)组成和每周工作天数)。数据包含4个部分:描述性统计数据,研究变量之间的双变量相关性以及预测模型和整个研究数据集风险行为的回归模型。要获取更多信息,可以方便地阅读《事故分析与预防》中发表的标题为“与快速公交(BRT)驾驶员的工作相关的心理社会因素,疲劳和危险驾驶行为”的全文。

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