Drivers’ Age, Gender, Driving Experience, and Aggressiveness as Predictors of Aggressive Driving Behaviour

Perepjolkina, Viktorija; Renge, Viesturs

doi:10.2478/v10195-011-0045-2

Cited by 10 publications

(10 citation statements)

References 8 publications

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“…Considering the fact that the higher the SRT, the smoother the driver's braking behavior to yield to the cyclist, this result highlights that older drivers are expected to adopt less abrupt yielding maneuver compared to younger drivers. This finding was consistent with previous studies [47][48][49], in which the correlation analysis proved that the driver's age has a statistically significant negative correlation with the aggressive driving behavior.…”

Section: Discussionsupporting

confidence: 93%

Survival Model of Drivers’ Speed Reduction Time at Bicycle Crossroads: A Driving Simulator Study

Bella

Silvestri

2018

Journal of Advanced Transportation

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The main objective of this study was to assess the effectiveness of several countermeasures at bicycle crossroads on drivers’ behavior during the driver–cyclist interaction (a cyclist that crosses the road) by the use of a driving simulator. Three treatments of the cyclist crossroads were investigated: baseline condition (no treatment), raised island, and the colored paved markings. Forty-two participants drove a suburban scenario with several bicycle crossroads having difference configurations and presence/absence of cyclist. Overall, 252 speed profiles were plotted from 150 m before each crossroad of which 23 showed non-yield events: 12 for the baseline condition, 6 for the colored paved markings, and 5 for the raised island. The method of the survival analysis was applied to model the driver speed reduction time (the elapsed time to pass from the initial speed to the minimum speed during the yielding maneuver) with the use of the Weibull distribution. The model identified the average deceleration, the drivers’ age, and the countermeasure condition as significant explanatory variables. The survival curves highlighted that for the colored paved markings the driver adopted longer values of the speed reduction times and then a less aggressive driver’s braking behavior. Moreover, the outcomes of the questionnaire confirmed that the colored paved markings were considered to be the most effective in terms of driving aid.

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Section: Discussionsupporting

confidence: 93%

Survival Model of Drivers’ Speed Reduction Time at Bicycle Crossroads: A Driving Simulator Study

Bella

Silvestri

2018

Journal of Advanced Transportation

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“…It has been previously reported that driver factors are directly or indirectly responsible for approximately 90% of traffic accidents. 25 , 26 , 83 , 84 The recognition of risky drivers prone to aggressive driving behaviors and accident involvement is essential for ensuring traffic and public safety. It has previously been asserted that drivers’ self-reporting accurately represents their actual behavior, 85 especially when surveys were conducted anonymously, 86 inferring that findings from this anonymous survey would be reliable.…”

Section: Discussionmentioning

confidence: 99%

“…The results from the current study elucidated that age and aggressive driving behavior was negatively correlated, consistent with previous studies that elderly drivers were safer drivers and in comparison, younger drivers were prone to commit increasingly risk-taking driving. 26 , 27 , 87 However, the above studies ignored that other variables interacted with age during global traffic environment. Zhang analyzed the interaction of age and sex on aggression, and found the converse trend that aggressive driving increased with age.…”

Section: Discussionmentioning

confidence: 99%

The Influence of Personality and Demographic Characteristics on Aggressive Driving Behaviors in Eastern Chinese Drivers

Liu¹,

Chen²,

Huang³

et al. 2022

PRBM

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Purpose Road safety research is important due to the large number of road traffic fatalities globally. This study investigated the influences of age, driving experience and other covariates on aggressive driving behavior. Methods A cross-sectional survey was conducted in Yixing City, Wuxi City, Jiangsu Province, China. Regression analysis was applied to explore the influences of age and driving experience and their interactions with other covariates on aggressive driving behavior. Two analyses methodologies were used to assess the simple effect of the interactions. Firstly, the Jamovi automatic analysis classification program was used to calculate the simple slope test. Second, the SPSS macro program was also used to calculate the simple slope test also. Results A total of 570 drivers (247 males, 282 females) participated in the survey. A negative correlation was found between age and aggressive driving behaviors, and a positive correlation was found between neuroticism and aggressive driving behaviors in the multiple regression analysis. Significant associations were also found between age, driving experience, and depression, as well as age, driving experience, and neuroticism. Simple slope tests showed that depressive symptoms could increase aggressive behaviors in the elderly and experienced drivers. When experiencing neuroticism, individuals with higher driving experience were more aggressive in driving than shorter experienced drivers. Conclusion Age and neuroticism influenced aggressive driving behaviors. Veteran drivers could be aggressive drivers when experiencing depressive symptoms or neuroticism. Mobile intervention could be sent to the potentially risky drivers, which would be safe and broadly feasible to prevent aggressive driving behavior in the background of COVID-19.

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“…To identify the differences in driver aggression, aberrant, and positive driver behaviors between the five countries, ANCOVA was used after controlling for age, gender, and frequency of traveling as a driver in a passenger car. Zhang, Qu, Ge, Sun, and Zhang (2017) report that age influences driving behaviors while many studies have found a negative correlation between age and aggressive driving (Dahlen & White, 2006;Krahé, 2005;Krahé and Fenske, 2002;Perepjolkina and Ren ßģe, 2011;Wickens, Mann, Stoduto, Ialomiteanu, & Smart, 2011). Similarly, Wickens et al (2012) argue that gender is an impor- tant factor to understand driver anger and aggression.…”

Section: Discussionmentioning

confidence: 99%

Cross-cultural differences in driver aggression, aberrant, and positive driver behaviors

Ersan

Üzümcüoğlu

Azık

et al. 2020

Transportation Research Part F: Traffic Psychology and Behaviou

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The present study investigated differences in driver aggression for self and others within countries and cultural differences between driver aggression, aberrant, and positive driver behaviors across five countries (Estonia, Greece, Kosovo, Russia, and Turkey). It was pre-dicted that drivers from these five countries differ significantly in terms of driver aggres-sion for self and others, aberrant, and positive driver behaviors. In the study, 743 participants completed the questionnaire package, including the Driver Aggression Indicators Scale (DAIS), the short version of the Driver Behavior Questionnaire (DBQ) with items from the Positive Driver Behavior Scale, and the Demographic Information Form. Paired samples T-tests were conducted to examine the differences in driving aggression between self and others in the five countries. The results indicated that, except for Russian drivers, drivers reported that other drivers had higher driver aggression than themselves. To examine the cross-cultural differences, analysis of covariance (ANCOVA) tests were conducted for the two dimensions of the DAIS (hostile aggression and revenge, and aggressive warnings) and the three dimensions of the DBQ with items from the Positive Driver Behavior Scale (errors, violations, and positive driver behaviors). Cross-country item-based comparisons were then made for the DAIS and the DBQ. The ANCOVA results showed significant differences in both item-based and subscale compar-isons. Russian drivers were significantly different from other drivers in terms of hostile aggression and the revenge subscales of the DAIS and positive driver behaviors. Turkish drivers were significantly different from other drivers in several items of the DBQ, includ-ing errors and violations. The findings suggest that culturespecific strategies might be con-ducted for traffic-related anger management. Furthermore, differences in errors and violations among the five countries may be due to cultural differences. Positive driver behaviors might be better promoted in countries by drawing on their distinct cultural road safety strategies.

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Drivers’ Age, Gender, Driving Experience, and Aggressiveness as Predictors of Aggressive Driving Behaviour

Cited by 10 publications

References 8 publications

Survival Model of Drivers’ Speed Reduction Time at Bicycle Crossroads: A Driving Simulator Study

Survival Model of Drivers’ Speed Reduction Time at Bicycle Crossroads: A Driving Simulator Study

The Influence of Personality and Demographic Characteristics on Aggressive Driving Behaviors in Eastern Chinese Drivers

Cross-cultural differences in driver aggression, aberrant, and positive driver behaviors

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