Work Environment, Stress, and Driving Anger: A Structural Equation Model for Predicting Traffic Sanctions of Public Transport Drivers
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Summary
This study investigates the relationship between work environment stressors, individual characteristics, and traffic sanctions among public transport drivers, specifically testing whether driving anger mediates this association. The research is motivated by the adverse working conditions faced by professional drivers, such as high psychological demands, irregular shifts, and environmental overstimulation, which are linked to job stress and risky driving behaviors. By focusing on traffic sanctions rather than accidents, the authors aim to predict risky behaviors that threaten road safety before they result in crashes. The study employed a cross-sectional design with a sample of 780 male public transport drivers in Colombia, comprising city bus, taxi, and inter-urban bus operators. Participants completed a five-section survey assessing demographic data, driving experience, hourly intensity, job strain (using the Job Demand-Control model), driving stress, risk predisposition, and driving anger. Statistical analysis included bivariate correlations and Structural Equation Modeling (SEM) to test the predictive model of traffic sanctions received in the previous two years. The results revealed significant associations between work-related factors and traffic sanctions. Descriptive statistics showed high average driving intensity (72.58 hours/week) and that 20.8% of drivers experienced job strain. The SEM indicated that driving experience had a direct negative effect on traffic sanctions, while hourly intensity, job strain, and driving anger had direct positive effects. Crucially, driving anger was found to fully mediate the relationship between driving stress and risk predisposition with traffic sanctions, meaning these factors influence sanctions only through their effect on anger. Driving anger also partially mediated the associations between driving experience, hourly intensity, job strain, and traffic sanctions. The findings support the Stress/Emotion/Counterproductive Work Behavior model, confirming that driving anger acts as a critical mechanism linking environmental stressors and individual traits to penalized driving behaviors. The study concludes that interventions aimed at improving road safety for public transport drivers must address both the management of stress-related emotions and the structural work conditions that generate them, such as excessive work hours and low job control. Integrating anger management with occupational health strategies is recommended to reduce risky driving and enhance overall road safety.
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | Crossref | — | — | 1 | 2026-06-18 |
| archive | success | openalex | — | — | 5 | 2026-06-25 |
| extract | success | cached | — | — | 2 | 2026-06-26 |
| clean | success | clean | — | — | 1 | 2026-06-18 |
| chunk | success | chunk | — | — | 1 | 2026-06-18 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-18 |
| promote | success | — | — | — | 1 | 2026-06-18 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 1 | 2026-06-26 |
| tag | success | vector_similarity | — | — | 6 | 2026-06-18 |
| verify | success | — | — | — | 1 | 2026-06-26 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-26; verification: verified.
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