The association between driving anger and driving outcomes: A meta-analysis of evidence from the past twenty years

Intrinsic motivation and challenges of road safety volunteers: the interplay of educational role, coping strategies, resilience, and social impact

Road safety is a critical concern worldwide, impacting individuals, communities, and societies. As mobility increases, so does the risk of accidents and injuries on roads, emphasizing the need for preventive measures. Road safety volunteers contribute significantly to promoting and maintaining road safety, making it important to understand their motivations and resilience sources. This study aimed to uncover what drives their commitment and the factors influencing their experiences as volunteers, informing them about strategies to support and enhance their efforts. Interviews with 28 road safety volunteers revealed three key themes: the driving forces behind their engagement, including intrinsic motivation, a sense of purpose, and social connection; challenges and coping strategies, such as the need for training, resilience, and peer support; and multifaceted benefits, including positive community impact and enhanced social connectivity. These findings highlight the potential benefits of promoting education on safe driving practices and encouraging citizen involvement in reducing traffic violations and road accidents.

Multigroup invariance of measure for angry drivers (MAD) scale using a representative sample of drivers in Australia

INTRODUCTION

Driver anger and aggression have been linked to crash involvement and injury outcomes. Improved road safety outcomes may be achieved through understanding the causes of driver anger, and interventions designed to reduce this anger or prevent it from becoming aggression. Scales to measure anger propensities will be an important tool in this work. The measure for angry drivers (MAD; Stephens et al., 2019) is a contemporary scale designed to measure tendencies for anger across three types of driving scenarios: perceived danger from others, travel delays, and hostility or aggression from other drivers.

METHOD

This study aimed to validate MAD using a representative sample of Australian drivers, stratified across age, gender, and location. Participants completed a 10-minute online survey that included MAD, sought demographic information (age, gender, driving purpose, crash history), as well as the frequency of aggressive driving. Multigroup confirmatory factor analyses (MGCFA) assessed how stable the structure of the MAD was across drivers of different ages, gender, purposes for driving and those who do or do not display anger aggressively. MAD was invariant across all groups, showing that all drivers interpreted and responded to MAD in the same way.

RESULTS

A comparison of latent means showed anger tendencies were higher for men compared to women, for younger drivers compared to older drivers, and for those who drive mainly for work compared to those who mainly drive for other reasons. When controlling for driver factors, driving anger was associated with increased odds of being aggressive while driving.

PRACTICAL APPLICATIONS

Overall, this study demonstrated that MAD is an appropriate scale to measure anger tendencies and can be used to support interventions, and evaluation of interventions, to reduce anger and aggressive driving.

The role of anger rumination as a mediator in the relationship between driver moral disengagement and driving angry

Background

Road rage is a common phenomenon during driving, which not only affects the psychological health of drivers but also may increase the risk of traffic accidents. This article explores the impact of moral disengagement and anger rumination on road rage through two studies.

Method

This research combined experimental studies with survey questionnaires. Study one used a driving simulator to investigate whether moral disengagement and anger rumination are psychological triggers of road rage in real-time driving, and whether there are differences in the main psychological triggers of road rage under different road scenarios. Building on the first study, study two employed a survey questionnaire to analyze the relationship between moral disengagement, anger rumination, and road rage. Participants in both studies were drivers with certain driving ages and experience. Data were processed and analyzed using descriptive statistics, factor analysis, reliability and validity tests, and multiple regression analysis.

Results

The findings indicated: (1) There were significant differences in the anger induction rate across different road scenarios, χ2 = 35.73, p < 0.01, effect size = 0.29. Significant differences in average anger levels were observed in scenarios involving oncoming vehicles, lane-cutting, sudden stops by the vehicle ahead, pedestrians crossing the road, and traffic congestion (F = 20.41, p < 0.01, ηp2 = 0.36), with anger rumination playing a major role in the formation of road rage; (2) Moral disengagement significantly predicted road rage (β = 0.25, t = 3.85, p < 0.01). The predictive effect of moral disengagement on anger rumination was significant (β = 0.39, t = 6.17, p < 0.01), as was the predictive effect of anger rumination on road rage (β = 0.43, t = 6.3, p < 0.01). The direct effect of moral disengagement on road rage included 0 in the bootstrap 95% confidence interval, while the mediating effect of anger rumination did not include 0 in the bootstrap 95% confidence interval, indicating that anger rumination fully mediated the relationship between moral disengagement and road rage.

Sensation seeking predicts risky driving behavior: The mediating role of difficulties in emotion regulation

The purpose of this study was to explore the mediating effect of difficulties in emotion regulation on the relationship between sensation seeking and driving behavior based on the dual-process model of aberrant driving behavior. A sample of 299 drivers in China completed the Difficulties in Emotion Regulation Scale, the Driver Behavior Questionnaire, and the Sensation Seeking Scale V (SSS). The relationships among sensation seeking, difficulties in emotion regulation, and driving behavior were investigated using pathway analysis. The results showed that (1) disinhibition and boredom susceptibility are positively and significantly related to difficulties in emotion regulation and risky driving behaviors; (2) difficulties in emotion regulation are positively and significantly associated with risky driving behaviors; (3) difficulties in emotion regulation mediate the effect of sensation seeking on driving behaviors, supporting the dual-process model of driving behavior; and (4) professional drivers score higher in terms of difficulties in emotion regulation and risky driving behaviors than nonprofessional drivers. The findings of this study could provide valuable insights into the selection of suitable drivers and the development of certain programs that benefit road safety.

On the importance of working memory in the driving safety field: A systematic review

In recent years, many studies have used poor cognitive functions to explain risk safety differences among drivers. Working memory is a cognitive function with information storage and attentional control that plays a crucial role in driver information processing. Furthermore, it is inextricably linked to parameters such as driving performance, driving eye movements and driving neurophysiology, which have a significant impact on drivers' risky behavior and crash risk. In particular, crash risk is a serious risk to social safety and economic development. For this reason, it is necessary to understand how risk-related working memory affects driving so that pre-driving safety pre-training programs and in-vehicle safety assistance systems for driving can be developed accordingly, contributing to the development of semi-autonomous vehicles and even autonomous vehicles. In this paper, a systematic search of the literature over the past 23 years resulted in 78 articles that met the eligibility criteria and quality assessment. The results show that higher working memory capacity, as measured neuropsychologically, is associated with more consistent and safer driving-related parameters for drivers (e.g., lane keeping) and may be related to pupil dilation during risk perception while driving, which is associated with driving outcomes (tickets, pull-overs, penalty points and fines,and driving accidents) is closely related to the perceived usefulness of the human-machine interface, reaction time, standard deviation of steering wheel corners, etc. when the autonomous driving takes over. In addition, higher working memory load interference was associated with more inconsistent and unsafe driving-related parameters (including but not limited to eye movements, electrophysiology, etc.), with higher working memory load being associated with easier driver concentration on the road, faster heart rate, lower heart rate variability, and lower oxyhemoglobin (OxyHb) and deoxyhemoglobin (DeoxyHb). Only a limited number of studies have simultaneously investigated the relationship between working memory capacity, working memory load and driving, showing an interaction between working memory capacity and working memory load on lane change initiation and lane change correctness, with working memory capacity acting as a covariate that mediated the effect of working memory load on braking reaction time. In addition, working memory-related cognitive training had a transfer effect on improving driving ability. Overall, working memory capacity determines the upper limit of the number of working memory attention resources, while working memory load occupies part of the working memory attention resources, thus influencing information perception, decision judgment, operational response, and collision avoidance in driving. Future effective interventions for safe driving can be combined with capacity training and load alerting. These findings contribute to our understanding of the role of working memory in driving and provide new insights into the design of driver safety training programs and automated driving personalized in-vehicle safety systems and roadside devices such as signage.

The Italian adaptation of the Driving Anger Scale (DAS): examining measurement invariance and the role of blaming others as a mediator of the relationship between trait driving anger and aberrant driving behavior

High levels of trait driving anger have been linked to aberrant driving behavior and higher proneness to be involved in a car crash. In the present study, we assessed the psychometric properties of the Italian adaptation of the Driving Anger Scale (DAS) in a large (>2000; 72% males) sample of Italian drivers examining measurement invariance across gender and age. Also, we examined whether the association between trait driving anger and aberrant driving behavior is mediated by a maladaptive form of cognitive emotion regulation, namely blaming others. The results showed that the six-factor structure of the DAS was overall confirmed with a few variations compared to the original scale. Weak measurement invariance was supported across gender and age, while strong and strict invariance were partially confirmed. Finally, the tendency to cope with negative events by blaming others mediated the association between driving anger and aberrant driving behavior in the male but not in the female sample. For both men and women, however, blaming others was positively associated with violations. Thus, attributions of blame to others could be targeted by clinical interventions for high-anger drivers and driver education courses in the attempt to reduce aberrant driving behavior and improve road safety.

Aberrant driving behaviors as mediators in the relationship between driving anger patterns and crashes among taxi drivers: An investigation in a complex cultural context

OBJECTIVE

Taxis have become an integrated component of Qatar's urban transportation network due to their convenience, comfort, and flexibility. Qatar has seen an uptick in the demand for professional taxi drivers. Most Qatari taxi drivers come from developing countries with poor awareness of road safety; therefore, they regularly engage in aberrant driving behavior, leading to traffic violations and crashes. For taxi rides to be safer, it is essential to determine the association between driving aberration and road traffic crashes (RTCs), with an emphasis on the underlying factors that trigger these behaviors.

METHODS

To this end, we collected the data from taxi drivers relying on standard questionnaires, namely the Driving Anger Scale (DAS) and the Driver Behavior Questionnaire (DBQ), together with the real crash data of the same taxi drivers obtained from the police department. We relied on factor analysis to identify the main factors of these tools and then structural equation modeling to predict their causal relationship with RTCs.

RESULTS

The results indicated that the component of DAS, namely "illegal driving", triggered all dimensions of aberrant driving behaviors, whereas hostile gestures had a positive correlation with lapses. In addition, the factor "error" was identified as a significant direct predictor, while the factor "illegal driving" was identified as a significant indirect predictor for RTCs. Regarding demographic characteristics, professional driving experience was found to be negatively associated with RTCs.

CONCLUSION

Driving aberration mediated the impact of driving anger on RTCs. The findings from this study could help road safety practitioners and researchers better understand these relations. In addition, these results could also be very helpful for driving instructors to train taxi drivers in a way to cope with provoking situations.

The association between the Big Five personality traits and driving behaviors: A systematic review and meta-analysis

Although a large number of studies have examined the relationship between the Big Five personality traits and driving behaviors, consistent evidence for their relationships is still lacking. The main purpose of this study was to systematically review the relationships between the Big Five personality traits and various driving behaviors with different intentions (including risky, aggressive, and positive driving behaviors) through a meta-analysis. A total of 34 articles met the inclusion criteria for the meta-analysis. The results showed that risky and aggressive driving behaviors were negatively associated with conscientiousness (r = -0.21; r = -0.26), agreeableness (r = -0.23; r = -0.37), and openness (r = -0.08; r = -0.07), positively associated with neuroticism (r = 0.11; r = 0.26), and nonsignificantly associated with extraversion (r = 0.06; r = -0.06). Positive driving behaviors were positively associated with conscientiousness (r = 0.30), agreeableness (r = 0.32) and openness (r = 0.20) but nonsignificantly associated with extraversion (r = 0.08) and neuroticism (r = -0.10). In addition, the association between the Big Five personality traits and driving behaviors could be moderated by age, gender and type of personality measure. In conclusion, this study contributes to the literature by quantitatively synthesizing existing findings and reconciling previous debates on the relationship between the Big Five personality traits and driving behaviors. From a practical perspective, our findings provide valuable insights into driver selection and screening, policy development, and safety intervention design.

The Predictors of Unsafe Behaviors among Nuclear Power Plant Workers: An Investigation Integrating Personality, Cognitive and Attitudinal Factors

Unsafe behaviors, such as violations and human errors, have long been recognized as the main causes of accidents in nuclear power plants (NPPs). However, personal factors that influence unsafe behaviors among NPP workers have not been well examined, especially in an integrated model. This study proposes an integrated contextual mediated model to examine personality, cognitive and attitudinal predictors of unsafe behaviors among commissioning workers at NPPs. The model was verified using structural equation modeling technique with survey data from 177 commissioning workers in two Chinese NPPs. Results show that personality traits (i.e., conscientiousness, neuroticism, openness and agreeableness), executive function and safety attitudes exerted significant effects on unsafe behaviors. In addition, the effects of agreeableness and executive function were partly mediated by safety attitudes. Both conscientiousness and neuroticism indirectly influenced unsafe behaviors through the mediating role of executive function. The findings shed light on the design of evidence-based interventions for safety performance in NPPs.

Driving anger dimensions and their relationship with aberrant driver behavior in Lebanon: Results from a national self-reported survey

Driving anger may vary across countries due to culture. This might affect driver behavior, which, in turn, impacts the driving outcomes. This study aims to investigate the relationship between socio-demographic variables, driving anger, and the self-reported aberrant behavior among Lebanese drivers and to determine which anger dimension is linked to driving behavior. A cross-sectional study was conducted among eligible Lebanese drivers from all Lebanese governorates. Data were collected using an anonymous Arabic self-reported questionnaire that included demographic information, driving-related variables, and two scales: the Driver Behavior Questionnaire (DBQ) and the Driver Anger Scale (DAS). Four hierarchical regressions were performed taking the DBQ subscales as the dependent variable and the DAS subscales as independent variables. Out of 1102 surveyed drivers, 68.4% were males, having a mean age of 34.6 ± 12.3 years and an average driving experience of 13.5 ± 10.8 years. DBQ, DAS, and their subscales showed good reliability. Older age and female gender were negatively associated with the tendency of committing aggressive violations. However, being a professional driver and increasing annual mileage were positively associated with a higher tendency to commit aggressive violations. In addition to these factors, a higher educational level was found associated with a lower risk of driver's involvement in traffic violations. However, increased driving experience was associated with a higher tendency to commit aggressive violations. Reported driving errors were also found positively associated with older age, increasing mileage, and being a professional driver. However, larger driving experience and higher education were found protectors from erroneous behavior. Hierarchical regression showed that anger prompted by hostile gesture, discourtesy, police presence, traffic obstruction, and slow driving were positively associated with aggressive violations. All the DAS subscales were found to be positively associated with ordinary violations. traffic obstruction was also found associated with a higher tendency of drivers to commit lapses, as well as anger, which originated from police presence and slow driving which were found also positively associated with errors. Driver anger dimensions were found positively associated with aberrant driver behavior. To overcome road anger, there is a need to train drivers on coping strategies to restrain aberrant driving behavior.

The human impact of commercial delivery cycling injuries: a pilot retrospective cohort study

BACKGROUND

Commercial delivery cyclists represent a uniquely vulnerable and poorly understood road user. The primary aim of this study was to pilot whether cycling injuries could be categorised as either commercial or non-commercial using documentation entered into routine hospital medical records, in order to determine the feasibility of conducting a large cohort study of commercial cycling injuries in the future. A secondary aim was to determine which key demographic, incident and injury characteristics were associated with commercial versus non-commercial cycling injuries in emergency.

METHODS

Pilot retrospective cohort study of adults presenting to an acute public hospital emergency department between May 2019 and April 2020 after sustaining a cycling-related injury. Multinomial logistic regression was used to examine the demographic, incident and injury characteristics associated with commercial compared to non-commercial cycling.

RESULTS

Of the 368 people presenting to the emergency department with a cycling-related injury, we were able to categorise 43 (11.7%) as commercial delivery cyclists, 153 (41.6%) as non-commercial cyclists and the working status of 172 (46.7%) was unable to be confirmed. Both commercial and unconfirmed cyclists were more likely to be younger than non-commercial cyclists. Compared to non-commercial cyclists, commercial cyclists were 11 times more likely to speak a language other than English (AOR 11.3; 95% CI 4.07-31.30; p<0.001), less likely to be injured from non-collision incidents than vehicle collisions (AOR 0.36; 95% CI 0.15-0.91; p=0.030) and were over 13 times more likely to present to the emergency department between 8.00pm and 12.00am compared to the early morning hours (12.00 to 8.00am) (AOR 13.43; 95% CI 2.20-82.10; p=0.005).

CONCLUSIONS

The growth of commercial cycling, particularly through online food delivery services, has raised concern regarding commercial cyclist safety. Improvements in the recording of cycling injury commercial status is required to enable ongoing surveillance of commercial cyclist injuries and establish the extent and risk factors associated with commercial cycling.

Differences in Driving Anger among Professional Drivers: A Cross-Cultural Study

Public transport systems have a vital role in achieving sustainable mobility goals, diminishing reliance on private individual transport and improving overall public health. Despite that, transport operators are often in situations that require them to cope with complex working conditions that lead to negative emotions such as anger. The current study represents a segment of the permanent global research agenda that seeks to devise and test a psychometric scale for measuring driving anger in professional drivers. The present research is one of the first attempts to examine the factorial validity and the cross-cultural measurement equivalence of the broadly utilized Driving Anger Scale (DAS) in three culturally different countries within the Western Balkans region. The respondents (N = 1054) were taxi, bus and truck drivers between 19 and 75 years of age. The results pertaining to confirmatory factor analysis showed that there were adequate fit statistics for the specified six-dimensional measurement model of the DAS. The measurement invariance testing showed that the meaning and psychometric performance of driving anger and its facets are equivalent across countries and types of professional drivers. Furthermore, the results showed that driving anger facets had positive correlations with dysfunctional ways of expressing anger and negative correlations with the form of the prosocial anger expression. In addition, the results revealed that taxi drivers displayed considerably higher levels of anger while driving and aggressive driving than truck and bus drivers. Overall, this study replicates and extends the accumulated knowledge of previous investigations, suggesting that the original DAS remains a reliable and stable instrument for measuring driving anger in day-to-day driving conditions.

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

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.

What drives people to use automated vehicles? A meta-analytic review

Lack of consumer acceptance is a prominent barrier to the large-scale adoption of automated vehicles (AVs). This study investigated the underlying mechanisms for AV acceptance and how the mechanisms differed across subgroups by reviewing and synthesizing existing literature. We proposed AV acceptance models by extending the basic Technology Acceptance Model (TAM) with trust and perceived risk factors. Data from 36 studies were extracted to fit the models using meta-analytic structural equation modeling technique. The results suggested that trust contributed most in determining AV acceptance, followed by perceived usefulness and perceived risk, and perceived ease of use makes the least contribution. The subgroup analyses showed that the model parameters differed across the levels of three variables, i.e., sample origin (Europe/Asia/America), automation level (full/partial), and age (young/middle-aged). Specifically, trust was unanimously identified as the most important determinant of AV acceptance across all subgroups. Perceived risk only remained significant in America, fully AVs, and middle-aged subgroups. Perceived ease of use was insignificant in the above-mentioned three subgroups while remained significant in the rest subgroups. Building trust could be the most useful and universal way to improve AV acceptance, and policy makers should consider the characteristics of consumers when making AV promotion strategies.

When driving hurts: characterizing the experience and impact of driving with back pain

OBJECTIVES

Driving is one of the most widespread aspects of daily living to people in the United States and is an active process that requires various cognitive functions, such as attention. Chronic low back pain (CLBP) is one of the more prevalent and costly health conditions in the world, with individuals who report CLBP also reporting significant impairment across different domains of daily life both physically and cognitively. However, despite the prevalence of these two constructs, research detailing the experience of driving in pain remains largely underrepresented. This cross-sectional study sought to characterize the driving experience of people who experience CLBP, focusing on the psychological constructs related to chronic pain like pain catastrophizing, affective responses (irritability, anxiety, fear), and self-reported driving behaviors and outcomes.

METHODS

This study distributed an online questionnaire measuring pain, disability, and other psychological constructs commonly associated with CLBP like pain catastrophizing through M-turk to 307 U.S. participants with recurring CLBP and regular driving activity. Participants also answered questions regarding driving in pain, affective responses to driving in pain (i.e., irritability, anxiety, and fear), driving behaviors and violations, driving avoidance habits as a result of pain, opioid use, using pain medication while driving, and recent vehicle collisions within the past three years. Bivariate correlations were used to compare study variables, and one-way ANOVA's were used to compare means between participants with and without a collision history within the past three years.

RESULTS

Findings demonstrated significant positive associations not only between the psychological factors commonly associated with chronic pain, such as pain intensity, pain disability, pain catastrophizing, and the cognitive intrusion by pain, but also statistically significant relationships between these measures and pain intensity while driving, affective responses to driving in pain, driving violations, and driving avoidance habits. Additionally, in comparison to participants with no collision history within the past three years, participants who had been driving during a vehicle collision reported greater pain catastrophizing and cognitive intrusion by pain scores.

CONCLUSIONS

To our knowledge, the current study is the first to characterize driving experience specifically among individuals with CLBP, with attention to the relationship among key sensory, affective, and cognitive psychological metrics as well as self-reported driving history and behavior. The current findings reinforce multiple associations between pain and cognitive-affective variables that have been observed in literature outside the driving context, including pain intensity, anger, inattention, and behavioral disruption. Given that driving is a pervasive, potentially risky behavior that requires some form of cognitive focus and control, the current findings point to a continued need to examine these associations within this specific life context. We believe we have laid a groundwork for research considering the role of psychological pain variables in a driving performance. However, the nature of our analyses prevents any sort of causality from being inferred, and that future experimental research is warranted to better understand and explain these mechanisms underlying driving in pain while accounting for participant bias and subject interpretation.

Personality predictors of speeding: Anger-Aggression and Impulsive-Sensation Seeking. A systematic review and meta-analysis

INTRODUCTION

The purpose of this review was to identify the most influential personality predictors of speeding.

METHOD

Thus, this study analyzed the associations of Anger-Aggression and Impulsive-Sensation Seeking with Speeding. Research studies included in online databases and papers identified in previous reviews were considered for inclusion.

RESULTS

Using a random effects model, we found a small but significant effect for the relation between Anger-Aggression and Speeding (r = 0.12 [0.06-0.18],Z = 3.85,p < 0.001). We identified a significantly stronger effect for the relation between Impulsive-Sensation Seeking and Speeding, but still of low magnitude (r = 0.23 [0.16-0.29],Z = 6.54,p < 0.001). Moderator analysis revealed only one significant moderator: driver type. Namely, for professional drivers, the relation with Speeding was non-significant for both predictors (r = -0.004, p = 0.958 for Impulsive-Sensation Seeking and r = 0.02, p = 0.720 for Anger-Aggression, respectively) and significantly smaller than the associations for general population and young drivers.

CONCLUSIONS

Overall, our results confirm Speeding's associations with both hypothesized most important predictors, but at a low magnitude.

Regulating Road Rage

Road rage has been a problem since the advent of cars. Given the ubiquity of road rage, and its potentially devastating consequences, understanding road rage and developing interventions to curb it are important priorities. Emerging theoretical and empirical advances in the study of emotion and emotion regulation have provided new insights into why people develop road rage and how it can be prevented and treated. In the current article, we suggest an integrative conceptual framework for understanding road rage, based upon a psychological analysis of emotion and emotion regulation. We begin by defining road rage and other key constructs. We then consider the interplay between road rage generation and road rage regulation. Using an emotion regulation framework, we describe key points at which emotion-regulation difficulties can lead to road rage, followed by strategies that may alleviate these difficulties. We suggest that this framework usefully organizes existing research on road rage, while exposing key directions for future research.

The influence of driving anger on truck drivers' speeding behavior in Serbia: the evidence from naturalistic global positioning system driving data

OBJECTIVE

Speeding behavior is recognized as one of the three main causes of risk on the roads and the most frequent ordinary violation among truck drivers. The study reported in this article focused on the driving anger personality trait and its role in predicting the observed speeding behavior in a sample of truck drivers.

METHODS

A longitudinal study design was implemented, where 93 Serbian truck drivers filled in an adapted form of the Driving Anger Scale designed to assess the amount of driving anger evoked by specific traffic situations. The drivers' second-by-second speeding behavior data were captured using GPS tracking and recording devices installed in the vehicles over a period of six months. Hierarchical multiple linear regression was used to examine the predictive performance of driving anger.

RESULTS

The results showed that more than three fourths of the exceeded speed ranged from 1 to 9 km/h and the highest percentage of speed events occurred in urban areas. The findings suggest that truck drivers experienced the highest level of anger in driving because of the discourteous and illegal behavior of other drivers. Younger truck drivers are more likely to drive fast compared to older drivers. Truck drivers who perform driving tasks more often and spend less time driving are more likely to participate in speed events. The results revealed that the subscales of anger, hostile gestures and traffic obstructions have a positive effect, while slow driving has a negative effect on the observed speeding behavior of truck drivers.

CONCLUSIONS

This study confirms the predictive performance of driving anger facets. The results of the research can help us improve our understanding of the mechanisms of speeding behavior of truck drivers.

Driving Accidents, Driving Violations, Symptoms of Attention-Deficit-Hyperactivity (ADHD) and Attentional Network Tasks

Background: Iran has serious problems with traffic-related injuries and death. A major reason for traffic accidents is cognitive failure due to deficits in attention. In this study, we investigated the associations between traffic violations, traffic accidents, symptoms of attention-deficit/hyperactivity disorder (ADHD), age, and on an attentional network task in a sample of Iranian adults. Methods: A total of 274 participants (mean age: 31.37 years; 80.7% males) completed questionnaires covering demographic information, driving violations, traffic accidents, and symptoms of ADHD. In addition, they underwent an objective attentional network task (ANT), based on Posner’s concept of attentional networks. Results: More frequent traffic violations, correlated with lower age and poorer performance on the attentional network tasks. Higher symptoms of ADHD were associated with more accidents and more traffic violations, but not with the performance of the attentional tasks. Higher ADHD scores, a poorer performance on attentional network tasks, and younger age predicted traffic violations. Only higher symptoms of ADHD predicted more traffic accidents. Conclusions: In a sample of Iranian drivers, self-rated symptoms of ADHD appeared to be associated with traffic violations and accidents, while symptoms of ADHD were unrelated to objectively assessed performance on an attentional network task. Poor attentional network performance was a significant predictor of traffic violations but not of accidents. To increase traffic safety, both symptoms of ADHD and attentional network performance appear to merit particular attention.

Links between observed and self-reported driving anger, observed and self-reported aggressive driving, and personality traits

Driving anger increases risk-taking in traffic and road traffic accident involvement. Herein, we examine the links between self-reported and observed driving anger, self-reported and observed aggressive driving, and personality traits. Specifically, sixty drivers drove in an anger-inducing simulated driving scenario. A video camera recorded their verbal and gestural expression during the simulator drive. Two weeks before the simulator drive, we assessed participants' basic personality traits, driving anger expression, and aberrant driving behaviour via an online survey. State anger was measured immediately before and after the simulator drive. From recorded simulator and video data, we obtained four measures: the number of accidents (simulator), an aggressive driving score (simulator), verbal expression of driving anger (video), and related gestures and headshakes (video). Verbal and gestural expression while driving were related to an increase in state anger in the simulator drive and different self-reported measures: While observed verbal expression was positively related to lapses and negatively related to constructive expression, gestural expression was positively related to both self-reported violations and self-reported aggressive expression. The traits Emotionality and Honesty-Humility were related to an increase in state anger and to verbal expression in the simulator drive, yet, age and gender modified the relation to personality traits. Results can support the development of personalised anger management interventions and anger mitigating in-vehicle devices.

Driving anger and factors related to aggressive driving among Serbian drivers

Objective: Driving anger has been found to be a motivational determinant of risky and aggressive driving. The study reported in this article focused on research questions concerning the conceptualization of driving anger and relationships between driving anger and aggressive driving.Methods: In a cross-sectional survey study, 1,020 regular Serbian drivers completed a web-based online questionnaire. Exploratory Factor Analysis and Confirmatory Factor Analysis were used to assess the factor structure and psychometric properties of the Driving Anger Scale.Results: The results showed that the adapted DAS was a valid and reliable instrument divided into five subscales such as discourteous behavior, illegal behavior, slow driving, hostile gestures and traffic obstructions. The robustness of the five-factor model obtained from the EFA was confirmed by the CFA. The study provided evidence supporting the predictive validity of the adapted DAS and revealed that the dimensions of driving anger are differently associated with prosocial and aggressive driving behaviors.Conclusions: The study supports the adapted DAS validity and produces evidence that driving anger is associated with driving outcomes.

Investigating influence factors of traffic violations at signalized intersections using data gathered from traffic enforcement camera

To effectively reduce traffic violations that often cause severe crashes at signalized intersections, exploring their contributing factors seems hugely urgent and essential. This study attempted to investigate the influence factors of wrong-way driving (WWD), red-light-running (RLR), violating traffic markings (VTM), and driving in the inaccurate oriented lane (DIOL) at signalized intersections by using data collected from traffic enforcement camera in Hohhot, China. To this end, an ordinary multinomial logit model was developed. By considering the unobserved heterogeneity between observations, a random effects multinomial logit model was proposed as well. After that, the marginal effects of explanatory variables were computed. The outcomes showed that non-local vehicles were more likely to commit WWD and VTM than local vehicles. WWD and RLR frequently occurred in the daytime and evening (6:00–23:59), and on most days within a week. RLR and DIOL mainly happened in June and July. The left-turn lane ratio significantly increased RLR and DIOL. The cloudy, partly cloudy, and rainy days obviously increased WWD and VTM. The temperature from 21 to 30 degrees centigrade was apparently associated with the higher likelihoods of RLR and DIOL. According to the findings of this study, some intervention measures, targeting different vehicle types and considering temporal factors, road, and weather conditions, were recommended to reduce WWD, RLR, VTM, and DIOL at signalized intersections.

A new perspective on online malicious comments: effects of attention and neutralization

Purpose

Today, online malicious comments are serious issues. They can cause psychological distress and suicide of victims. Although prior studies have focused on the role of anonymity as a major factor in making these comments, results of these studies have been inconsistent. On the other hand, the need for attention from others can provide an alternative explanation for such malicious comments. However, this perspective has been rarely studied. Therefore, the objective of this study was to investigate effects of anonymity and need for attention on posting malicious comments online and compare these two factors, resolving dark sides of online interaction.

Design/methodology/approach

This study obtained 327 questionnaires of Facebook users through a survey and analyzed the research model using partial least squares (PLS) regression.

Findings

Results of this study revealed that the need for attention affected malicious comments through partial mediation of neutralization. On the other hand, anonymity did not significantly affect malicious comments.

Research limitations/implications

This study has the following academic implications. First, we empirically examined the critical influence of need for attention on making malicious comments online based on the impression management theory. Second, this study revealed that the influence of need for attention on making malicious comments was partially mediated by neutralization. Third, this study may offer an explanation for contradicting findings on the role of anonymity in the phenomenon of posting malicious comments online.

Practical implications

Practical implications of this study are as follows. First, SNS platforms can limit activities of persons who post malicious comments frequently. Second, this study suggests that a notice is needed to inform the seriousness and harmful consequences of malicious comments. Third, Facebook practitioners should be aware that low anonymity may not reduce malicious comments.

Originality/value

This study quantitatively examined the effect of need for attention on malicious comments based on the impression management theory. It provides a fact that individuals who want to attract attention from others would write malicious comments through neutralization.

A Review on Measuring Affect with Practical Sensors to Monitor Driver Behavior

Using sensors to monitor signals produced by drivers is a way to help better understand how emotions contribute to unsafe driving habits. The need for intuitive machines that can interpret intentional and unintentional signals is imperative for our modern world. However, in complex human–machine work environments, many sensors will not work due to compatibility issues, noise, or practical constraints. This review focuses on practical sensors that have the potential to provide reliable monitoring and meaningful feedback to vehicle operators—such as drivers, train operators, pilots, astronauts—as well as being feasible for implementation and integration with existing work infrastructure. Such an affect-sensitive intelligent vehicle might sound an alarm if signals indicate the driver has become angry or stressed, take control of the vehicle if needed, and collaborate with other vehicles to build a stress map that improves roadway safety. Toward such vehicles, this paper provides a review of emerging sensor technologies for driver monitoring. In our research, we look at sensors used in affect detection. This insight is especially helpful for anyone challenged with accurately understanding affective information, like the autistic population. This paper also includes material on sensors and feedback for drivers from populations that may have special needs.

Driving Behaviour in Depression: Findings from a Driving Simulator Study

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.

Trait driving anger and driving styles among Colombian professional drivers

This study analyzes the association between trait driving anger and driving styles in a sample of Colombian professional drivers. Additionally, the internal and external validity of the Deffenbacher's Driving Anger Scale (DAS-14) was examined in the study population. The DAS-14 and the Spanish Version of the Multidimensional Driving Style Inventory (S-MDSI) were administered to 492 urban bus and taxi operators. Average trait driving anger scores in the study population were similar to those reported in previous validation studies from Spain, Argentina, China, and Malaysia. After deleting three cross-loaded items, confirmatory factor analyses revealed a three-dimensional latent structure for the DAS-14, similar but not equal to the previous Spanish speaking validations. This factorial structure fits the data reasonably well. Finally, linear regression analyses revealed that the three factors of the DAS-14 (impeded progress by others, illegal driving, and direct hostility) significantly predict adaptive and maladaptive driving styles. Overall, the results of this study suggest that the DAS-14 is a reasonably reliable measure of driving anger traits among professional drivers, and it also provides relevant insights for the prevention of risky driving styles in this occupational group.

German bike messengers' experiences and expressions of cycling anger

Objective: The present study has 3 objectives: First, we wanted to examine whether the Cycling Anger Scale (CAS) applies to German professional bike messengers, because this scale was previously developed with nonprofessional cyclists in Germany. Second, we wanted to look at possible differences in cycling anger experience and expression between professional German bike messengers and nonprofessional German cyclists. Third, we explored whether cycling anger is somehow related to driving anger and general anger. Methods: We applied German versions of the CAS, the Driving Anger Scale (DAS), and the State-Trait Anger Expression Inventory (STAXI) to a sample of 123 professional German bike messengers. Then we compared their ratings with the results of 421 nonprofessional German cyclists. Results: Regarding our first objective, results indicate that the CAS model fit is better for nonprofessional than for professional cyclists. However, the CAS in a slightly modified version can be used for professional cyclists as well. As for our second objective, we show that professional cyclists experience significantly less cycling anger than nonprofessional cyclists. However, bike messengers report more frequent aggressive cycling behaviors when angry, indicating a weaker link between trait anger while cycling and aggressive behavior among professionals. Thirdly, we found relations between cycling anger, driving anger, and general anger. Conclusions: We conclude that the CAS in its slightly modified 13-item version with the established 4 subscales produces an acceptable model fit and can be applied to professional German bike messengers for further research purposes or applied issues; for example, traffic education or self-awareness in terms of accident prevention behaviors. In addition, for professional cyclists, less anger does not result in less aggressive cycling behaviors. Subsequent research should explore the role of anger in behavioral regulation of cyclists' unsafe cycling behaviors taking different levels of experience and professionalism into account in order to reduce adverse effects of anger on traffic safety.

Psychosocial factors as predictors of risky driving behavior and accident involvement among drivers in Oromia Region, Ethiopia

This study was designed to examine the influence of selected psychosocial factors (alcohol /substance use, driving anger, altruism, and normlessness) on risky driving behavior and accident involvement of drivers. A total of 343 freight transport and minibus drivers were made to fill the Amharic version of self-reporting scales of alcohol and/or substance use, driving anger, altruism, normlessness, risky driving behavior and accident involvement adapted from various sources. To test the proposed hypotheses, correlation, multiple regression and path analyses were conducted. Results of the study elucidated that selected psychosocial factors, particularly driving anger, normlessness, and alcohol/substance use significantly predicted variability in risky driving behavior. The study also revealed that risky driving behavior accounted for limited variability in accident involvement. Furthermore, risky driving behavior mediates the link between psychosocial factors and involvement in road traffic accidents. Implications of the findings have been discussed in terms of improving drivers’ training curricula and enforcement of traffic laws.

Dimensions of driving-related emotions and behaviors: An exploratory factor analysis of common self-report measures

OBJECTIVE

A wide variety of driving self-report measures are purported to assess drivers' behaviors and emotions. However, little is known about the underlying factor structure of these measures. This study examined the factor structure of several self-report measures frequently utilized in the assessment of driving-related behaviors and emotions.

DESIGN

Cohort survey in a large sample (n = 287) of young adults (mean age = 19.91 years, SD = 1.65).

RESULTS

Exploratory factor analysis revealed a four-factor structure that included reckless driving behaviors, negative driving-related emotions, aggressive driving behaviors in response to perceived transgressions from other drivers, and perceived aggressive driving behaviors from other drivers. Aggressive driving behaviors not performed in response to other drivers loaded onto both aggressive driving-related factors.

CONCLUSIONS

The factor structure derived in the present study suggests considerable overlap in the content across commonly administered driving self-reports, while also suggesting four distinct dimensions of self-reported driving emotions and behaviors. Whereas some of these dimensions have been explored considerably in the literature (e.g., negative emotions), others deserve further exploration (e.g., perceived aggressive driving behaviors from other drivers). Implications for clinical practice and future investigations are discussed.

The association between sensation seeking and driving outcomes: A systematic review and meta-analysis

The purpose of this study was to evaluate the association between sensation seeking (SS) and driving outcomes (including four aberrant driving behaviors, accident involvement and tickets received) through a systematic review and meta-analysis. Forty-four eligible studies, representing 48 individual trials, were identified from a systematic literature search of four electronic databases, and included in the meta-analysis. Overall, the meta-analysis results showed that SS yielded significant positive correlations with risky driving (pooled r = 0.24, p < 0.001), aggressive driving (pooled r = 0.23, p = 0.019), and errors (pooled r = 0.22, p = 0.016). SS was also positively correlated with accident involvement (pooled r = 0.08, p < 0.001) and tickets received (pooled r = 0.19, p < 0.001), though at weaker levels. The correlations could also be moderated by a number of study and sample characteristics, such as country of origin, publication year, age, gender, driving experience and type of SS measure. The findings help facilitate our understanding of the role of SS in aberrant driving behaviors and accident risk, and provide new insight into the design of evidence-based driving education and accident prevention interventions.

Driving Anger, Aberrant Driving Behaviors, and Road Crash Risk: Testing of a Mediated Model

With the dramatic increase in motorization, road traffic crashes have become the leading cause of death in China. To reduce the losses associated with road safety problems, it is important to understand the risk factors contributing to the high crash rate among Chinese drivers. This study investigated how driving anger and aberrant driving behaviors are related to crash risk by proposing and testing one mediated model. In this model, the effects of driving anger on road crash risk were mediated by aberrant driving behaviors. However, unlike previous studies, instead of using the overall scale scores, the subscales of driving anger and aberrant driving behaviors were used to establish the mediated model in this study. To test the validity of this model, an Internet-based questionnaire, which included various measures of driving anger, aberrant driving, and road crash history, was completed by a sample of 1974 Chinese drivers. The results showed that the model fitted the data very well and aberrant driving behaviors fully mediated the effects of driving anger on road crash risk. Findings from the present study are useful for the development of countermeasures to reduce road traffic crashes in China.

Road anger expression-Changes over time and attributed reasons

Based on the results from three independent surveys conducted in Denmark in 2005, 2008 and 2016, this paper provides an overview of the development of road anger expression in general and in demographic sub-groups of road users. In addition, it investigates how people explain own and other people's road anger expression and if attributed reasons are related to demographic factors and level of anger expression measured based on the short form of the driving anger expression inventory (DAX-short). From 2005 to 2016 the percentage of people involved in anger expression incidents increased particularly in the densely populated Capital Region of Denmark. The increase was most pronounced for "yelling" and "threatening". Men were more often involved than women both as aggressor and as victim, but the gender difference decreased from 2008 to 2016. Generally, own anger expression was more often explained with getting frightened (non-hostile attribution), while anger expression by other road users was more often explained by not being able to control own anger or by wanting to show that one made a mistake (hostile attribution). However, people scoring high in aggressive anger expression often explained own anger expression by "not being able to control anger", thereby indicating self-reflection and a potential for behavioural change. Behavioural reactions to being frightened are to some extend mistakenly interpreted as expressions of anger by other road users. Results indicate that cognitive and behavioural interventions, possibly as part of the driver education, are relevant to reduce aggressive anger expression in traffic.

Association of posttraumatic stress disorder and traumatic brain injury with aggressive driving in Iraq and Afghanistan combat veterans

PURPOSE

Aggressive driving contributes to the high rates of postdeployment motor vehicle-related injury and death observed among veterans, and veterans cite problems with anger, aggressive driving, and road rage as being among their most pressing driving-related concerns. Both posttraumatic stress disorder (PTSD) and traumatic brain injury (TBI) have been associated with driving-related deficits in treatment-seeking samples of veterans, but the relative contribution of each of these conditions to problems with aggressive driving in the broader population of combat veterans is unclear.

METHOD

χ2 and logistic regression analyses were used to examine the relative association of PTSD, TBI, and co-occurring PTSD and TBI to self-reported problems with road rage in a sample of 1,102 veterans living in the mid-Atlantic region of the United States who had served in Afghanistan or Iraq.

RESULTS

Results indicate that controlling for relevant demographic variables, PTSD without TBI (odds ratio = 3.44, p < .001), and PTSD with co-occurring TBI (odds ratio = 4.71, p < .001) were associated with an increased risk of road rage, but TBI without PTSD was not.

CONCLUSIONS

Our findings suggest that PTSD, with or without comorbid TBI, may be associated with an increased risk of aggressive driving in veterans. Clinical implications for treating problems with road rage are discussed, including use of interventions targeting hostile interpretation bias and training in emotional and physiological arousal regulation skills. (PsycINFO Database Record

A questionnaire survey on road rage and anger-provoking situations in China

This paper surveys the reactions of Chinese drivers when encountering anger-provoking situations, including traffic congestion, pedestrians crossing the street illegally, being flashed by the high beams of cars traveling in the opposite direction, aberrant overtaking by other cars and when the car ahead drives slowly. A questionnaire survey found that 69.4% of participants wait when encountering traffic congestion and that 71% of drivers tolerate pedestrians crossing the street illegally; moreover, 61.3% of drivers are "angry but tolerant" when encountering aberrant overtaking. However, 51.3% of drivers become enraged when flashed by the high beams of cars traveling in the opposite direction, and 34.1% of participants turn on their own high beams to fight back. Moreover, 61.4% of participants are dissatisfied when the car ahead drives slowly or fails to move when a traffic light turns green, and 53% of participants honk or flash their lights to prompt the driver of the car ahead. The results show that males become irritated more easily than females in all situations, except those in which pedestrians cross the street illegally. Age is a factor only when drivers are flashed by high beams or overtaken by other cars illegally. Driving experience has an effect when drivers encounter traffic congestion, are flashed by high beams, or are overtaken by other cars illegally or when the car ahead drives slowly; novices with fewer than two years of driving experience display greater tolerance for these events. The occupation of a driver acts on his/her responses when he/she is overtaken by other cars illegally or flashed by high beams or when pedestrians cross the street illegally. For the most effective measures to prevent road rage, 53.64% of participants chose "plan the trip in advance", 57.14% chose "strengthen law enforcement", and 71.5% chose "improve public transportation". Females, young people, and novices pay more attention to these measures.

Falls From Agricultural Machinery: Risk Factors Related to Work Experience, Worked Hours, and Operators' Behavior

Objective We investigated the risk factors for falls when egressing from agricultural tractors, analyzing the role played by worked hours, work experience, operators' behavior, and near misses. Background Many accidents occur within the agricultural sector each year. Among them, falls while dismounting the tractor represent a major source of injuries. Previous studies pointed out frequent hazardous movements and incorrect behaviors adopted by operators to exit the tractor cab. However, less is known about the determinants of such behaviors. In addition, near misses are known to be important predictors of accidents, but they have been under-investigated in the agricultural sector in general and as concerns falls in particular. Method A questionnaire assessing dismounting behaviors, previous accidents and near misses, and participants' relation with work was administered to a sample of Italian tractor operators ( n = 286). Results A mediated model showed that worked hours increase unsafe behaviors, whereas work experience decreases them. Unsafe behaviors in turn show a positive association with accidents, via the mediation of near misses. Conclusions We gave a novel contribution to the knowledge of the chain of events leading to fall accidents in the agricultural sector, which is one of the most hazardous industries. Applications Besides tractor design improvements, preventive training interventions may focus on the redesign of the actual working strategies and the adoption of engaging training methods in the use of machinery to optimize the learning of safety practices and safe behaviors.

The impact of police presence on angry and aggressive driving

An extensive body of research has found that angry and aggressive driving are both significantly related to crash involvement. There has also been a large body of research investigating the situational factors related to angry and aggressive driving, but one interesting question that has not yet been answered is whether the enforcement of traffic laws causes or reduces angry and aggressive driving. The independent region of Northern Kosovo represents a unique opportunity to investigate the impact of a lack of traffic enforcement on driving behaviour. Therefore, the present study set out to investigate whether the presence of traffic enforcement has a significant impact on the level of driver anger and aggressive driving. Registered owners of motor vehicles in Northern Kosovo and Serbia were both sent a questionnaire which contained the 28-item Dula Dangerous Driving Index (DDDI) and the 21-item UK Driving Anger Scale (UKDAS). This found that anger was higher in two of the four driving anger factors (direct hostility and progress impeded) and two of the three DDDI factors (risky driving & aggressive driving). Furthermore, the present study found that the lack of police enforcement was a significant predictor of both aggressive and risky driving, even after the driving anger and demographic variables had been partialled out. Therefore, it appears that introducing or increasing traffic enforcement may be one method of reducing aggressive and risky driving behaviour.

Cyclists' Anger As Determinant of Near Misses Involving Different Road Users

Road anger constitutes one of the determinant factors related to safety outcomes (e.g., accidents, near misses). Although cyclists are considered vulnerable road users due to their relatively high rate of fatalities in traffic, previous research has solely focused on car drivers, and no study has yet investigated the effect of anger on cyclists’ safety outcomes. The present research aims to investigate, for the first time, the effects of cycling anger toward different types of road users on near misses involving such road users and near misses in general. Using a daily diary web-based questionnaire, we collected data about daily trips, bicycle use, near misses experienced, cyclist’s anger and demographic information from 254 Spanish cyclists. Poisson regression was used to assess the association of cycling anger with near misses, which is a count variable. No relationship was found between general cycling anger and near misses occurrence. Anger toward specific road users had different effects on the probability of near misses with different road users. Anger toward the interaction with car drivers increased the probability of near misses involving cyclists and pedestrians. Anger toward interaction with pedestrians was associated with higher probability of near misses with pedestrians. Anger toward cyclists exerted no effect on the probability of near misses with any road user (i.e., car drivers, cyclists or pedestrians), whereas anger toward the interactions with the police had a diminishing effect on the occurrence of near misses’ involving all types of road users. The present study demonstrated that the effect of road anger on safety outcomes among cyclists is different from that of motorists. Moreover, the target of anger played an important role on safety both for the cyclist and the specific road users. Possible explanations for these differences are based on the difference in status and power with motorists, as well as on the potential displaced aggression produced by the fear of retaliation by motorized vehicle users.