Do aggressive driving and negative emotional driving mediate the link between impulsiveness and risky driving among young Italian drivers?

Abstract: Prediction of accident rate from risky and aggressive behavior behind the wheel: Differences by age and gender. Road accidents are one of the main causes of death in Spain. Risky and aggressive behavior behind the wheel are two of the most relevant predictive variables. This study had three aims: First, the psychometric adaptation of the Driving Survey (DS) in a Spanish sample; second, the analysis of the differences by age and gender in risky and aggressive driving, as well as in the self-perception of the driver and in the accident rate; and third, the analysis of the prediction of the accident rate based on the other variables. The results showed a factorial distribution, similar to the original version, with adequate values of both internal consistency and validity. Men scored higher than women in risky driving, while the youngest drivers scored higher in almost all variables. Finally, it was observed that both risky and aggressive behavior predicted accident rate significantly.Keywords: Risky driving; aggressive driving; accident rate; driving survey.Resumen: Los accidentes de tráfico constituyen una de las principales causas de muerte en España. Los comportamientos arriesgados y agresivos al volante se han perfilado como dos de las variables más relevantes. La presente investigación tuvo tres objetivos. Primero, la adaptación psicométrica del Driving Survey (DS) en una muestra española; segundo, el análisis de las diferencias por edad y género en comportamientos arriesgados y agresivos al volante, así como en la accidentabilidad; y tercero, el análisis de la predicción de la accidentabilidad en base a las anteriores variables. Los resultados mostraron una distribución factorial similar a la versión original, con unas propiedades psicométricas adecuadas en términos de consistencia interna y de validez. Los hombres puntuaron más alto en aspectos relacionados con conducción arriesgada, mientras que los más jóvenes puntuaron más alto en casi todos los indicadores evaluados. Finalmente, se encontró que tanto los comportamientos arriesgados como los agresivos predecían significativamente la accidentabilidad.Palabras clave: Conducción arriesgada; conducción agresiva; accidentabilidad; encuesta de conducción.

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Why are there sex differences in risky driving? the relationship between sex and gender-role on aggressive driving, traffic offences, and accident involvement among young turkish drivers

Aggressive Behavior ◽

10.1002/ab.20062 ◽

2005 ◽

Vol 31 (6) ◽

pp. 547-558 ◽

Cited By ~ 67

Author(s):

Türker Özkan ◽

Timo Lajunen

Keyword(s):

Sex Differences ◽

Gender Role ◽

Sex And Gender ◽

Aggressive Driving ◽

Risky Driving ◽

And Gender ◽

The Relationship

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The frequency and nature of aggressive acts on Australian roads

Journal of the Australasian College of Road Safety ◽

10.33492/jacrs-d-18-00293b ◽

2019 ◽

Vol 30 (3) ◽

pp. 27-36

Author(s):

Amanda Stephens ◽

Michael Fitzharris

Keyword(s):

Sampling Procedure ◽

Aggressive Driving ◽

Cross Sectional Survey ◽

Cross Sectional ◽

Age And Gender ◽

Risky Driving ◽

Driving Pattern ◽

Current Prevalence ◽

Mobile Phone Usage ◽

And Gender

To understand the current prevalence of aggressive acts on Australian roads, a large cross-sectional survey was conducted inviting drivers from all Australian jurisdictions to participate. A stratified sampling procedure was undertaken to ensure the age and gender distributions were representative of each jurisdiction. Participants were asked to report the frequency of aggressive driving behaviours as well as speeding, drink-driving and mobile phone usage while driving. Recent crash history was also obtained. The sample consisted of 2,916 drivers (males = 45%) with an average age of 42 (±16) years. Minor aggressive behaviours such as expressing annoyance to other drivers and sounding the horn in anger were reported by the majority of the sample (60% and 70% respectively). More extreme behaviour such as chasing another driver when angry was less common, however still reported by 18% of the overall sample. Aggressive driving behaviours were more common in younger, male drivers with 36% of drivers aged 22 to 39 reporting extreme aggression. Associations were found between aggressive driving with crash involvement and other forms of risky driving behaviour. The results show that aggressive driving is a problem on Australian roads. Further research is warranted to explore where aggressive driving fits within an overall risky driving pattern of behaviour, what attitudes drivers hold toward aggressive driving, and how to target the reduction of these behaviours.

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Contribution of Aggressive driving, Negative emotions, and Risky driving to Dangerous driving in young motorcyclists at Bandung City, Indonesia

Proceedings of the Social and Humaniora Research Symposium (SoRes 2018) ◽

10.2991/sores-18.2019.68 ◽

2019 ◽

Author(s):

Milda Yanuvianti ◽

Siti Qodariah ◽

Farida Coralia

Keyword(s):

Negative Emotions ◽

Aggressive Driving ◽

Risky Driving ◽

Dangerous Driving

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The frequency and nature of aggressive acts on Australian roads

Journal of the Australasian College of Road Safety ◽

10.33492/jacrs-d-18-00293 ◽

2019 ◽

Vol 30 (3) ◽

pp. 27-36

Author(s):

Amanda Stephens ◽

Michael Fitzharris

Keyword(s):

Sampling Procedure ◽

Aggressive Driving ◽

Cross Sectional Survey ◽

Cross Sectional ◽

Age And Gender ◽

Risky Driving ◽

Driving Pattern ◽

Current Prevalence ◽

Mobile Phone Usage ◽

And Gender

To understand the current prevalence of aggressive acts on Australian roads, a large cross-sectional survey was conducted inviting drivers from all Australian jurisdictions to participate. A stratified sampling procedure was undertaken to ensure the age and gender distributions were representative of each jurisdiction. Participants were asked to report the frequency of aggressive driving behaviours as well as speeding, drink-driving and mobile phone usage while driving. Recent crash history was also obtained. The sample consisted of 2,916 drivers (males = 45%) with an average age of 42 (±16) years. Minor aggressive behaviours such as expressing annoyance to other drivers and sounding the horn in anger were reported by the majority of the sample (60% and 70% respectively). More extreme behaviour such as chasing another driver when angry was less common, however still reported by 18% of the overall sample. Aggressive driving behaviours were more common in younger, male drivers with 36% of drivers aged 22 to 39 reporting extreme aggression. Associations were found between aggressive driving with crash involvement and other forms of risky driving behaviour. The results show that aggressive driving is a problem on Australian roads. Further research is warranted to explore where aggressive driving fits within an overall risky driving pattern of behaviour, what attitudes drivers hold toward aggressive driving, and how to target the reduction of these behaviours.

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A Hybrid Agent-Control System Approach to Analyze Various Driving Behaviors

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/154193120504901207 ◽

2005 ◽

Vol 49 (12) ◽

pp. 1134-1137 ◽

Cited By ~ 2

Author(s):

Stacy Lovell ◽

James Melhuish

Keyword(s):

Control Systems ◽

Highway Safety ◽

Cognitive Agent ◽

Aggressive Driving ◽

Road Rage ◽

Risky Driving ◽

Agent Model ◽

Driving Behaviors ◽

Hybrid Agent ◽

Implicit And Explicit

A large percentage of traffic problems occur due to risky or aggressive behavior by drivers (James, 2000). Aggressive driving, incidents of road rage, and following distance are some of the major concerns surrounding the issue, and are increasing in frequency and severity on America's roadways (Rathbone, 1999). An understanding of risky driving and its impact is required in order to help alleviate factors that contribute to these behaviors. Models of risky or aggressive behaviors of drivers allow us to study these effects and their impacts on highway safety, and can further help to identify levers (implicit and explicit) that influence these behaviors. This paper uses a cognitive agent model of human drivers as control systems to aid in the understanding of the effects of heterogeneous beliefs of risk, and the impacts of various driving behaviors on performance.

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Determining Risky Driving According to the Constructs of Mentalization and Personality Organization with the Modifying Role of Aggressive Driving

Iranian Journal of Psychiatry ◽

10.18502/ijps.v14i4.1977 ◽

2019 ◽

Author(s):

Masoumeh Seydi ◽

Isaac Rahimian Boogar ◽

Siavash Talepasand

Keyword(s):

Structural Model ◽

Self Report ◽

Weighted Regression ◽

Personal Factors ◽

Aggressive Driving ◽

Risky Driving ◽

Personality Organization ◽

Emotional Factors ◽

Convenience Sampling

Objective: This study aimed to model risky driving and predict its occurrence according to the constructs of personality organization and mentalization considering the role of aggressive driving as a mediator construct. Method: A total of 428 individuals (219 men and 209 women) were selected using convenience sampling. The participants completed self-report questionnaires on aggressive driving, risky driving, mentalization and personality organization Also, data were analyzed using structural equating model and weighted regression. Results: The results of this study showed a goof fit of the proposed structural model for predicting risky driving after some modifications (CFI = 0.95, RMSEA = 0.09). According to the results of regression weights, personality organization (regression weighted: 0.044) and aggressive driving (regression weighted: 0.98) were the strongest and mentalization (regression weighted: 0.004) was the weakest predictor of risky driving. Aggressive driving was the strongest direct predictor and personality organization the strongest indirect predictor of risky driving. Conclusion: Risky driving is a function of direct and indirect personal factors. Moreover, emotional factors have a direct effect on risky driving and more substantial constructs, such as personality, have an indirect effect on risky driving.

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