Background

Several authors have analyzed how certain driver characteristics can lead drivers not to comply with traffic regulations and commit traffic violations. In this paper we use the following indicators to develop a model for predicting the attitudes of professional drivers towards safety regulations: Personality, Job diagnostic survey, Job content questionnaire, Burnout, Driver Fatigue and Fatigue.

Method

Participants were 511 professional drivers from various transport sectors recruited through non-probability sampling using the SPSS 25.0 program.

Results

Our results are in line with the concept that certain variables have predictive power over factors studied in relation to Attitudes Toward Safety Regulations Scale (ATSRS).

Conclusions

Attitudes towards safety regulations can be predicted through certain variables. Professional efficiency (22.7%) and Emotional Stability (22.3%) are the best predictors since they explain a greater degree of variance. This study will enable us to better understand which factors help to improve attitudes towards Safety Regulations and therefore to reduce penalties and road collisions.

中文翻译：

---

预测职业驾驶员对安全法规的态度的变量

背景

几位作者分析了某些驾驶员特征如何导致驾驶员不遵守交通法规并犯下交通违法行为。在本文中，我们使用以下指标来建立模型，以预测职业驾驶员对安全法规的态度：个性，工作诊断调查，工作内容问卷，倦怠，驾驶员疲劳和疲劳。

方法

通过SPSS 25.0程序通过非概率抽样招募了来自各个运输行业的511名专业驾驶员。

结果

我们的结果与以下概念相符：某些变量对与“朝着安全法规的态度量表”（ATSRS）相关的因素具有预测能力。

结论

可以通过某些变量来预测对安全法规的态度。专业效率（22.7％）和情绪稳定性（22.3％）是最好的预测因子，因为它们可以解释更大程度的差异。这项研究将使我们能够更好地了解哪些因素有助于改善对安全法规的态度，从而减少处罚和道路碰撞。