» Articles » PMID: 29534530

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

Overview
Publisher MDPI
Date 2018 Mar 15
PMID 29534530
Citations 35
Authors
Affiliations
Soon will be listed here.
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.

Citing Articles

Depression, anxiety and stress in taxi drivers: a systematic review of the literature.

Marin-Berges M, Villa-Berges E, Lizana P, Gomez-Bruton A, Iguacel I Int Arch Occup Environ Health. 2025; 98(1):135-154.

PMID: 39849097 PMC: 11807019. DOI: 10.1007/s00420-024-02117-4.


Occupational groups and risk of suicidal behavior in men: a Swedish national cohort study during 2002-2019.

Nyberg J, Wessman C, Soderberg M, LaMontagne A, Toren K, Waern M BMC Public Health. 2024; 24(1):3515.

PMID: 39696130 PMC: 11657517. DOI: 10.1186/s12889-024-20887-x.


Musculoskeletal disorders among taxi drivers: a systematic review and meta-analysis.

Rezaei E, Shahmahmoudi F, Makki F, Salehinejad F, Marzban H, Zangiabadi Z BMC Musculoskelet Disord. 2024; 25(1):663.

PMID: 39180030 PMC: 11342653. DOI: 10.1186/s12891-024-07771-w.


The effect of home exercises with kinesiotaping on pain, functionality, and work performance in bus drivers with non-specific neck pain.

Zengi H, Safran E, Sevgin O J Back Musculoskelet Rehabil. 2024; 37(6):1617-1630.

PMID: 38943382 PMC: 11612929. DOI: 10.3233/BMR-240001.


Psychosocial work factors affecting safety incidents of long-distance bus drivers in Ghana: Mediating role of psychological well-being.

Amoadu M, Ansah E, Sarfo J Heliyon. 2024; 10(5):e26878.

PMID: 38434345 PMC: 10906432. DOI: 10.1016/j.heliyon.2024.e26878.


References
1.
Useche S, Cendales B, Gomez V . 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. Data Brief. 2017; 15:335-339. PMC: 5712049. DOI: 10.1016/j.dib.2017.09.032. View

2.
Podsakoff P, Mackenzie S, Lee J, Podsakoff N . Common method biases in behavioral research: a critical review of the literature and recommended remedies. J Appl Psychol. 2003; 88(5):879-903. DOI: 10.1037/0021-9010.88.5.879. View

3.
LERNER J, Keltner D . Fear, anger, and risk. J Pers Soc Psychol. 2001; 81(1):146-59. DOI: 10.1037//0022-3514.81.1.146. View

4.
Sumer N . Personality and behavioral predictors of traffic accidents: testing a contextual mediated model. Accid Anal Prev. 2003; 35(6):949-64. DOI: 10.1016/s0001-4575(02)00103-3. View

5.
Ge Y, Qu W, Jiang C, Du F, Sun X, Zhang K . The effect of stress and personality on dangerous driving behavior among Chinese drivers. Accid Anal Prev. 2014; 73:34-40. DOI: 10.1016/j.aap.2014.07.024. View