Aspects of Humans Aggressive Driving Behaviour as Indicators for the Irrationality of Thinking

Author(s):  
Klaus Atzwanger ◽  
Bernhart Ruso
MANASA ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 55-64
Author(s):  
Patricia Angeline ◽  
Retha Arjadi

Many things can cause traffic accident, including the driver behaviour. Aggressive drivingbehaviour is associated with the risk of traffic accident. Aggressive driving behaviour usuallypredicted by external factors, such as other driver’s attitude or gesture that could trigger anger.However, aggressive driving behaviour could also be shown in a situation where there is no otherdriver, for example when someone drive with a high speed in an empty traffic. This means, internalfactor, associated with the ability of the drivers to control themselves, can also contribute toaggressive driving behaviour. This study aims to investigate the role of self-control in predictingaggressive driving behaviour in car driver, specifically in Jakarta. The result from linearaggression analysis shows that self-control significantly predicted aggressive driving behaviourin car drivers in Jakarta. The coefficient is negative, showing that higher self-control determineslower aggressive driving behaviour, and lower self-control determines higher aggressive drivingbehaviour. Practical implications, limitations of the study, and recommendation for future studyare discussed.


Safety ◽  
2019 ◽  
Vol 5 (4) ◽  
pp. 70
Author(s):  
Vagioula Tsoutsi ◽  
Dimitris Dikeos ◽  
Maria Basta ◽  
Maria Papadakaki

Depression is characterized by mental, emotional and executive dysfunction. Among its symptoms, sleep disturbance and anxiety are very common. The effects of depression and its treatment may have an impact on driving behaviour. In order to evaluate driving performance in depression, 13 patients and 18 healthy controls completed questionnaires and scales and were tested in a driving simulator. Driving simulator data included lateral position (LP), speed and distance from the preceding vehicle. History of collisions was associated with depression, body mass index (BMI) and next-day consequences of sleep disturbance. Aggressive driving was associated with fatigue and sleep disturbances. Concerning driving simulator data, a reduced ability to maintain constant vehicle velocity was positively correlated to BMI and insomnia. An LP towards the middle of the road was associated with anxiety. On the other hand, an LP towards the shoulder was associated with depression and next-day consequences of sleep disturbance, while a positive correlation was found between distance from the preceding vehicle and use of drugs with potential hypnotic effects; both these findings show that patients suffering from depression seem to realize the effects of certain symptoms on their driving ability and thus drive in a more defensive way than controls.


2005 ◽  
Vol 38 (3) ◽  
pp. 361-380 ◽  
Author(s):  
Lynne Roberts ◽  
David Indermaur

This article reports on the results of a population survey of 1208 West Australian drivers designed to measure the prevalence of drivingrelated violence and aggression as well as perceptions of these behaviours. A clear distinction is made between driving-related violence (restricted to criminal acts of violence, threats of violence and vehicle damage) and other aggressive driving behaviours. Although the majority of survey respondents had experienced some form of aggressive driving behaviour, only 13% reported ever being a victim of driving-related violence. However, 17% of respondents believed they were likely, or very likely, to be a victim of driving-related violence within the coming year. More than two thirds of respondents thought their likelihood of being a victim of driving-related violence had increased over the past 10 years. Both aggressive driving behaviours and driving-related violence were typically perpetrated by young males against other males. The article concludes with a discussion of the masculinist characteristics of road rage and what this implies for the prevention of this crime.


2012 ◽  
Vol 43 (5-6) ◽  
pp. 333-338 ◽  
Author(s):  
Anik Lambert-Bélanger ◽  
Sacha Dubois ◽  
Bruce Weaver ◽  
Nadia Mullen ◽  
Michel Bédard

Author(s):  
Biying Shen ◽  
Yan Ge ◽  
Weina Qu ◽  
Xianghong Sun ◽  
Kan Zhang

Author(s):  
Sonia Ortiz-Peregrina ◽  
Carolina Ortiz ◽  
Rosario G. Anera

This study analysed dangerous driving behaviours in twenty young occasional cannabis users through objective and self-reported data, studying the relationship between the two aspects. Visual function was assessed in a baseline session and after smoking cannabis, as well as speed-related behaviour in a driving simulator. The participants responded to questionnaires on sociodemographic factors, their consumption profile, and the incidence of dangerous behaviours (Dula Dangerous Driving Index; DDDI). After cannabis use, the results revealed a significant deterioration in visual function. In terms of speed management, they showed significantly greater acceleration force in the two different sections of the route, and they drove significantly faster. Our correlations indicate that males and heavier users display more risky speed management. Likewise, the heavier cannabis users admitted to increased dangerous driving behaviour, and an accident in the preceding year was associated with a trend towards aggressive driving behaviour according to the DDDI questionnaire. The findings of this study suggest that cannabis users adopt dangerous behaviours when driving, despite the effect this drug has on certain important functions, such as vision. The results suggest a need for awareness-raising and information campaigns.


This study explores factors that lead towards aggressive driving behaviour among Malaysian drivers and to determine the highest factor that contributes to these aggressive driving styles in Malaysia. Driving aggressively increases the chances of drivers becoming involved in a motor vehicle crash, and aggressive driving behavior occurs happens due to multiple factors. The Driving Anger Expression Inventory (DAX) is used to calculate the factors corresponding to their anger while driving. There are four factors that has been identified to define how people expressed their anger while driving by using DAX, they are Verbally Aggressive Expression (α=0.7332), Physically Aggressive Expression (α=0.8548), Using the Vehicle for Aggressive Expression (α=0.7267) and Adaptive/Constructive Expression (α=0.8711). At the end of this research, we found out that the Adaptive/Constructive Expression is the highest factor and most commonly used amongst drivers to adapt to these aggressive situations on the road. Followed by the factor Verbally Aggressive Expression and Using the Vehicle for Aggressive Expression. Then, the least often used factor in Malaysia is Physically Aggressive Expression. Therefore, some mitigation plans should be considered towards reducing accidents in Malaysia which is on a yearly rising trend.


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