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Work Environment, Stress, and Driving Anger: A Structural Equation Model for Predicting Traffic Sanctions of Public Transport Drivers

Author

Listed:
  • Luis Montoro

    (FACTHUM Lab (Human Factor and Road Safety) Research Group, INTRAS (Research Institute on Traffic and Road Safety), University of Valencia, 46022 Valencia, Spain)

  • Sergio Useche

    (DATS (Development and Advising in Traffic Safety) Research Group, Faculty of Psychology, INTRAS (Research Institute on Traffic and Road Safety), University of Valencia, 46022 Valencia, Spain)

  • Francisco Alonso

    (DATS (Development and Advising in Traffic Safety) Research Group, Faculty of Psychology, INTRAS (Research Institute on Traffic and Road Safety), University of Valencia, 46022 Valencia, Spain)

  • Boris Cendales

    (Faculty of Economic and Administrative Sciences, El Bosque University, Bogotá 110121, Colombia)

Abstract

Public transport is an effective and sustainable alternative to private vehicle usage, also helping to reduce the environmental impact of driving. However, the work environment of public transport operators is full of adverse conditions, which, together with their high mileage, may increase the occurrence of negative safety outcomes such as traffic accidents, often preceded by risky road behaviors enhanced by stress, anger, and difficult operating conditions. The aims of this study were, first, to determine the association between work-related psychosocial factors and individual characteristics of public transport drivers and the rate of traffic sanctions they are subject to; and second, to assess the mediation of driving anger in this relationship. A sample of professional drivers (57.4% city bus, 17.6% taxi, and 25% inter-urban bus male operators) was used for this cross-sectional study, responding to a five-section survey including demographic data and driving-related factors, psychosocial work factors including job stress, driving stress, risk predisposition, and driving anger. The results of this study showed significant associations between work-related factors: measures of stress and self-reported rates of traffic fines. Second, it was found that driving anger mediates the associations between driving stress, risk predisposition, and traffic sanctions; and partially mediates the association between driving experience, hourly intensity, and job stress. This study supports the idea that traffic penalties reported by public transport rates are preceded by work-related, personality, and other individual factors that, when combined with driving anger, enhance the occurrence of road misbehavior that may affect overall road safety.

Suggested Citation

  • Luis Montoro & Sergio Useche & Francisco Alonso & Boris Cendales, 2018. "Work Environment, Stress, and Driving Anger: A Structural Equation Model for Predicting Traffic Sanctions of Public Transport Drivers," IJERPH, MDPI, vol. 15(3), pages 1-12, March.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:3:p:497-:d:135875
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    Citations

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    Cited by:

    1. Xiaolin Wu & Huimin Zhang & Wangxin Xiao & Peishan Ning & David C. Schwebel & Guoqing Hu, 2019. "Are Bus Company Regulations Associated with Crash Risk? Findings from a Retrospective Survey in Four Chinese Cities," IJERPH, MDPI, vol. 16(8), pages 1-9, April.
    2. Javadreza Vahedi & Afshin Shariat Mohaymany & Zahra Tabibi & Milad Mehdizadeh, 2018. "Aberrant Driving Behaviour, Risk Involvement, and Their Related Factors Among Taxi Drivers," IJERPH, MDPI, vol. 15(8), pages 1-17, August.
    3. Milanko Damjanović & Spasoje Mićić & Boško Matović & Dragan Jovanović & Aleksandar Bulajić, 2022. "Differences in Driving Anger among Professional Drivers: A Cross-Cultural Study," IJERPH, MDPI, vol. 19(7), pages 1-18, March.
    4. Yi-Lang Chen & Hans Alexander & Yi-Ming Hu, 2022. "Self-Reported Musculoskeletal Disorder Symptoms among Bus Drivers in the Taipei Metropolitan Area," IJERPH, MDPI, vol. 19(17), pages 1-14, August.
    5. Shuling Li & Tingru Zhang & Ben D. Sawyer & Wei Zhang & Peter A. Hancock, 2019. "Angry Drivers Take Risky Decisions: Evidence from Neurophysiological Assessment," IJERPH, MDPI, vol. 16(10), pages 1-14, May.
    6. Fanyu Wang & Junyou Zhang & Shufeng Wang & Sixian Li & Wenlan Hou, 2020. "Analysis of Driving Behavior Based on Dynamic Changes of Personality States," IJERPH, MDPI, vol. 17(2), pages 1-17, January.
    7. Piotr Mamcarz & Paweł Droździel & Radovan Madleňák & Saugirdas Pukalskas & Sylwia Gwiazdowska-Stańczak, 2023. "Does Mindfulness Mediate the Relation between Impulsiveness and Job Stressfulness Perception of Professional Drivers?," IJERPH, MDPI, vol. 20(5), pages 1-11, March.
    8. Mingwei Yan & Wentao Chen & Jianhao Wang & Mengmeng Zhang & Liang Zhao, 2021. "Characteristics and Causes of Particularly Major Road Traffic Accidents Involving Commercial Vehicles in China," IJERPH, MDPI, vol. 18(8), pages 1-18, April.
    9. Chien-Hung Wei & Ying Lee & Yu-Wen Luo & Jyun-Jie Lu, 2021. "Incorporating Personality Traits to Assess the Risk Level of Aberrant Driving Behaviors for Truck Drivers," IJERPH, MDPI, vol. 18(9), pages 1-18, April.
    10. Kamer-Ainur Aivaz & Ionela Florea Munteanu & Mari-Isabella Stan & Alina Chiriac, 2022. "A Multivariate Analysis of the Links between Transport Noncompliance and Financial Uncertainty in Times of COVID-19 Pandemics and War," Sustainability, MDPI, vol. 14(16), pages 1-23, August.

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