Work Environment, Stress, and Driving Anger: A Structural Equation Model for Predicting Traffic Sanctions of Public Transport Drivers
Abstract
:1. Introduction
1.1. Work Environment and Stress in Professional Drivers
1.2. Driving Anger and Risky Driving
1.3. The Current Study
2. Materials and Methods
2.1. Sample
2.2. Instrument
2.3. Procedure, Design, and Ethics
2.4. Statistical Analysis (Data Processing)
3. Results
3.1. Descriptive Results
3.2. Bivariate Correlations
3.3. Structural Equation Modeling
4. Discussion
5. Conclusions
Limitations of the Study
Acknowledgments
Author Contributions
Conflicts of Interest
References
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Study Variable | Mean | SD | 2 | 3 | 4 | 5 | 6 | 7 | |
---|---|---|---|---|---|---|---|---|---|
1 | Driving Experience | 18.38 | 9.86 | 0.020 | −0.072 | −0.038 | −0.142 ** | −0.165 ** | −0.142 ** |
2 | Hourly intensity | 72.58 | 9.15 | - | 0.082 * | −0.080 | −0.181 ** | −0.154 ** | 0.076 * |
3 | Job Strain | 0.879 | 0.28 | - | 0.127 ** | 0.144 ** | 0.223 ** | 0.203 ** | |
4 | Driving Stress | 1.06 | 0.53 | - | 0.225 ** | 0.651 ** | 0.081 | ||
5 | Risk Predisposition | 1.25 | 0.52 | - | 0.349 ** | 0.101 ** | |||
6 | Driving Anger | 1.85 | 0.64 | - | 0.193 ** | ||||
7 | Traffic Sanctions (last two years) | 1.51 | 1.91 | - |
Variables in the Model | Estimate 1 | S.E. 2 | Std. Estimate 3 | C.R. 4 | p | |||
---|---|---|---|---|---|---|---|---|
Driving Anger | ← | Driving Experience | −0.011 | 0.003 | −0.111 | −3.746 | *** | |
Driving Anger | ← | Hourly Intensity | −0.007 | 0.003 | −0.066 | −2.231 | 0.026 * | |
Driving Anger | ← | Job Strain | 0.45 | 0.11 | 0.124 | 4.073 | *** | |
Driving Anger | ← | Driving Stress | 0.618 | 0.031 | 0.602 | 19.679 | *** | |
Driving Anger | ← | Risk Predisposition | 0.183 | 0.032 | 0.182 | 5.798 | *** | |
Traffic Sanctions | ← | Driving Experience | −0.02 | 0.007 | −0.102 | −2.861 | 0.004 ** | |
Traffic Sanctions | ← | Driving Stress | −0.114 | 0.107 | −0.059 | −1.062 | 0.288 | |
Traffic Sanctions | ← | Job Strain | 1.024 | 0.253 | 0.149 | 4.048 | *** | |
Traffic Sanctions | ← | Hourly Intensity | 0.019 | 0.007 | 0.091 | 2.571 | 0.01 * | |
Traffic Sanctions | ← | Driving Anger | 0.343 | 0.107 | 0.182 | 3.222 | 0.001 ** | |
Traffic Sanctions | ← | Risk Predisposition | 0.063 | 0.076 | 0.033 | 0.834 | 0.404 |
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Montoro, L.; Useche, S.; Alonso, F.; Cendales, B. Work Environment, Stress, and Driving Anger: A Structural Equation Model for Predicting Traffic Sanctions of Public Transport Drivers. Int. J. Environ. Res. Public Health 2018, 15, 497. https://doi.org/10.3390/ijerph15030497
Montoro L, Useche S, Alonso F, Cendales B. Work Environment, Stress, and Driving Anger: A Structural Equation Model for Predicting Traffic Sanctions of Public Transport Drivers. International Journal of Environmental Research and Public Health. 2018; 15(3):497. https://doi.org/10.3390/ijerph15030497
Chicago/Turabian StyleMontoro, Luis, Sergio Useche, Francisco Alonso, and Boris Cendales. 2018. "Work Environment, Stress, and Driving Anger: A Structural Equation Model for Predicting Traffic Sanctions of Public Transport Drivers" International Journal of Environmental Research and Public Health 15, no. 3: 497. https://doi.org/10.3390/ijerph15030497