Effects of trait anger, driving anger, and driving experience on dangerous driving behavior: A moderated mediation analysis

2017 ◽  
Vol 43 (6) ◽  
pp. 544-552 ◽  
Author(s):  
Yan Ge ◽  
Qian Zhang ◽  
Wenguo Zhao ◽  
Kan Zhang ◽  
Weina Qu
Keyword(s):  
Mediation Analysis ◽  
Moderated Mediation ◽  
Driving Behavior ◽  
Trait Anger ◽  
Driving Experience ◽  
Driving Anger ◽  
Dangerous Driving

scholarly journals Traffic Crimes and risky driving: The role of personality and driving anger

2021 ◽  
Author(s):  
José María Faílde-Garrido ◽  
Yolanda Rodríguez-Castro ◽  
Antonio González-Fernández ◽  
Manuel Antonio García-Rodríguez
Keyword(s):  
Personality Traits ◽  
Personality Trait ◽  
Road Safety ◽  
Sensation Seeking ◽  
Risky Driving ◽  
Driving Style ◽  
Driving Experience ◽  
Driving Anger ◽  
Dangerous Driving ◽  
Negative Effect

Abstract The current study aims to examine the influence of personality traits (alternative Zuckerman model) and driving anger in the explanation of risky driving style in individuals convicted for road safety offences (N = 245), using as a basis an adaptation of the context-mediated model. This is a transversal, descriptive study designed to be implemented by means of surveys, in which took part 245 men convicted of road safety offences from five prisons in Galicia (a region in northwestern Spain) took part. The average age of the participants was 38.73 years (Sx-9.61), with a range between 18 and 64 years. All participants had three or more years of driving experience. Our data shows that the Impulsive-Sensation Seeking (Imp-SS) personality trait had a direct and positive effect on dangerous driving, while the Activity (Act) trait had a direct but negative effect. The Aggression-Hostility (Agg-Host) trait, in turn, influenced the risky driving style, but not directly, but by raising driving anger levels, so it acted as a powerful mediator between the Aggression-Hostility (Agg-Hos) trait and the risky driving style. In general, our research partially replicates and expands previous findings regarding the model used, the aggression-hostility personality trait (Agg-Host) was placed in the distal context, driving anger in the proximal context, while age and personality traits Activity (Act) and Impulsive-Sensation Seeking (Imp-SS) were direct predictors. The results of this study may have practical implications for the detection and rehabilitation of offenders and penalties for road safety offences.

How is Trait Anger Related to Adolescents’ Cyberbullying Perpetration? A Moderated Mediation Analysis

2020 ◽  
pp. 088626052096712
Author(s):  
Jiping Yang ◽  
Wenqing Li ◽  
Ling Gao ◽  
Xingchao Wang
Keyword(s):  
Mediation Analysis ◽  
Moral Disengagement ◽  
Moderated Mediation ◽  
Chinese Adolescents ◽  
Trait Anger ◽  
The Relationship

Although trait anger has been shown to play an important role in cyberbullying perpetration, little is known about mediating and moderating mechanisms underlying this relationship. In the present study, we examined whether moral disengagement mediated the relationship between trait anger and cyberbullying perpetration, and whether this mediating process was moderated by empathy. Four hundred and fifty-five Chinese adolescents completed the measures of trait anger, moral disengagement, cyberbullying perpetration, and empathy. The results indicated that trait anger was significantly and positively associated with cyberbullying perpetration and this relationship was partially mediated by moral disengagement. Moderated mediation analysis further indicated that empathy moderated the relationship between moral disengagement and cyberbullying perpetration. This relationship became weaker for adolescents with higher levels of empathy. Results highlight the significance of identifying the mechanisms that moderate the mediated paths between trait anger and adolescents’ cyberbullying perpetration.

Left-Turn Driving Behavior Based On Situational Anger: Day Or Night

2021 ◽  
Author(s):  
Jingjing Xiong ◽  
Yan Mao ◽  
Xuan Wang ◽  
Wu He
Keyword(s):  
Comparative Research ◽  
Driving Behavior ◽  
Light Conditions ◽  
Gap Acceptance ◽  
Left Turn ◽  
Driving Anger ◽  
Lighting Conditions ◽  
Driving Skills ◽  
Dangerous Driving ◽  
Key Factor

Abstract Anger is a key factor affecting drivers' subjective judgment and driving skills. The influence of anger on driving behavior has been widely studied, but there is a lack of comparative research under different lighting conditions. Through driving simulation experiment, this paper studies the influence of anger on left-turn driving behavior under two light conditions of day and night. In the experiment, 32 licensed participants were divided into two groups, one in emotional neutrality and the other in anger. Among them, the emotional state of anger is induced by a traffic related video. The results showed that compared with daytime participants, participants at night had higher anger intensity, shorter gap acceptance and post encroachment time (PET) when left-turn driving. In addition, compared with emotion neutral participants, angry participants tended to accept shorter gap acceptance and post encroachment time (PET) when turning left. This indicates that participants failed to respond correctly to left-turn driving behavior in a state of anger. However, the response of gender differences to situational driving anger was not affected by light conditions. The anger intensity of male participants during the day and night was higher than that of female participants, and the gap acceptance and post encroachment time (PET) during left-turn were shorter than that of female participants. This shows that male participants are more likely to produce high-intensity anger and are more likely to make dangerous driving decisions in a state of anger. This paper puts forward some suggestions on the identification of anger and the prevention of angry driving.

scholarly journals Concept of an Ontology for Automated Vehicle Behavior in the Context of Human-Centered Research on Automated Driving Styles

Information ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 21
Author(s):  
Johannes Ossig ◽  
Stephanie Cramer ◽  
Klaus Bengler
Keyword(s):  
Driving Behavior ◽  
Automation System ◽  
Automated Driving ◽  
Driving Style ◽  
Driving Experience ◽  
Automated Vehicle ◽  
Future Design ◽  
Vehicle System ◽  
The Future ◽  
Conceptual Distinction

In the human-centered research on automated driving, it is common practice to describe the vehicle behavior by means of terms and definitions related to non-automated driving. However, some of these definitions are not suitable for this purpose. This paper presents an ontology for automated vehicle behavior which takes into account a large number of existing definitions and previous studies. This ontology is characterized by an applicability for various levels of automated driving and a clear conceptual distinction between characteristics of vehicle occupants, the automation system, and the conventional characteristics of a vehicle. In this context, the terms ‘driveability’, ‘driving behavior’, ‘driving experience’, and especially ‘driving style’, which are commonly associated with non-automated driving, play an important role. In order to clarify the relationships between these terms, the ontology is integrated into a driver-vehicle system. Finally, the ontology developed here is used to derive recommendations for the future design of automated driving styles and in general for further human-centered research on automated driving.

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