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Objective Driving aggression and anxiety are significant contributors to risky driving and motor vehicle crashes (MVCs), which are leading causes of U.S. morbidity and mortality. Even though aggression and anxiety can be conceptua...
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Objective Driving aggression and anxiety are significant contributors to risky driving and motor vehicle crashes (MVCs), which are leading causes of U.S. morbidity and mortality. Even though aggression and anxiety can be conceptualized as related features of the fight‐or‐flight response, literature on these topics has not been integrated. Driving aggression and anxiety are also transdiagnostic constructs that span multiple psychiatric disorders. Assessment and treatment of these complex problems must be understood to reduce the public health burden of MVCs. Method A comprehensive literature search was conducted using PsycInfo and Google Scholar. Results Definitions and prevalence of constructs including driving anger, aggressive driving, posttraumatic stress disorder, driving phobia, and transdiagnostic factors are delineated. Psychosocial correlates and assessment instruments are reviewed. Theoretical models that explicate personological, affective, cognitive, and behavioral components are explored. Differential and shared processes underlying driving aggression and anxiety are examined. Interventions are described, with a focus on promising cognitive‐behavioral methods. Conclusion Driving aggression and anxiety likely share affective and cognitive characteristics such as emotional reactivity and distorted threat appraisals. Further research is needed to support theoretical models linking driving aggression and anxiety, and to validate assessment instruments that capture both constructs. Epidemiologic studies are needed to determine norms, prevalence, and clinical cutpoints. Integration of interventions for these interrelated problems could ultimately reduce risky driving and MVCs.
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This study explored the relationship of driving anger expression to driving anger, trait anger, general anger expression, and aggressive and risky behavior while driving. Verbal, physical, and vehicular forms of expressing anger w...
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This study explored the relationship of driving anger expression to driving anger, trait anger, general anger expression, and aggressive and risky behavior while driving. Verbal, physical, and vehicular forms of expressing anger while driving correlated positively with each other, driving and trait anger, anger-in, and anger-out and negatively with adaptive/constructive driving anger expression and general anger-control. Adaptive/constructive expression formed small negative correlations with these measures, except for a positive correlation with anger-control. Regression models controlling for demographic variables and driving anger, trait anger, or general anger expression demonstrated forms of driving anger expression added variance to predicting aggressive and risky behavior. Forms of driving anger expression partially mediated the effects for driving anger, trait anger, and general anger expression on aggressive and risky behavior. No moderation effects were found for age, gender, or miles driven. Findings provided evidence for convergent and incremental validity for the Driving Anger Expression Inventory.
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Introduction: Maladaptive driving is an important source of self-inflicted accidents and this driving style could include high speeds, speeding violations, and poor lateral control of the vehicle. The literature suggests that cert...
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Introduction: Maladaptive driving is an important source of self-inflicted accidents and this driving style could include high speeds, speeding violations, and poor lateral control of the vehicle. The literature suggests that certain groups of drivers, such as novice drivers, males, highly motivated drivers, and those who frequently experience anger in traffic, tend to exhibit more maladaptive driving patterns compared to other drivers. Remarkably, no coherent framework is currently available to describe the relationships and distinct influences of these factors. Method: We conducted two studies with the aim of creating a multivariate model that combines the aforementioned factors, describes their relationships, and predicts driving performance more precisely. The studies employed different techniques to elicit emotion and different tracks designed to explore the driving behaviors of participants in potentially anger-provoking situations. Study 1 induced emotions with short film clips. Study 2 confronted the participants with potentially anger-inducing traffic situations during the simulated drive. Results: In both studies, participants who experienced high levels of anger drove faster and exhibited greater longitudinal and lateral acceleration. Furthermore, multiple linear regressions and path-models revealed that highly motivated male drivers displayed the same behavior independent of their emotional state. The results indicate that anger and specific risk characteristics lead to maladaptive changes in important driving parameters and that drivers with these specific risk factors are prone to experience more anger while driving, which further worsens their driving performance. Driver trainings and anger management courses will profit from these findings because they help to improve the validity of assessments of anger related driving behavior.
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Most older adults will eventually stop driving, but few engage in planning for driving retirement. This study assessed whether driving stress, enjoyment, confidence, concerning driving events, and assessment of driving alternative...
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Most older adults will eventually stop driving, but few engage in planning for driving retirement. This study assessed whether driving stress, enjoyment, confidence, concerning driving events, and assessment of driving alternatives influence planning. Demographic factors were also included. Data were collected via a mailed transportation survey, with a final sample of 551 older adults who currently drive. Linear regression analyses revealed that more driving retirement planning was associated with greater driving stress, less driving confidence, and a more positive view of driving alternatives. Driving enjoyment and recent concerning driving events were not significantly related. Among the control variables, race and income were significantly related to planning, suggesting that lower income and identifying as Black race were associated with more planning. Gender only approached significance, suggesting that females may plan more than males. Overall, these findings suggest that more driving retirement planning is warranted. Some of the groups known to be at increased risk for driving reduction and cessation plan more for that eventuality than their counterparts. Implications of the study and suggestions for future research are discussed. (C) 2020 Elsevier Ltd. All rights reserved.
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The present study aimed to adapt the Driving Cost and Benefit Scale (DCBS, Taubman-Ben-Ari, 2008) to Chinese drivers and examine its relationships with driving style and traffic violations. Nine hundred drivers aged 18 to 60 years...
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The present study aimed to adapt the Driving Cost and Benefit Scale (DCBS, Taubman-Ben-Ari, 2008) to Chinese drivers and examine its relationships with driving style and traffic violations. Nine hundred drivers aged 18 to 60 years were asked to complete the DCBS and the Multidimensional Driving Style Inventory. The results of exploratory factor analysis (n = 429) and confirmatory factor analysis (n = 429) yielded a 36-item scale with satisfactory reliability. The Chinese version of the DCBS contains seven factors, including three driving cost factors (damage to self-esteem, life endangerment and distress) and four driving benefit factors (impression management, sense of control, thrill and pleasure). Significant associations between the DCBS-C factors and driving styles and traffic violations show that the discriminant validity of the scale is acceptable. Moreover, the driving cost factor of damage to self-esteem and the driving benefit factor of thrill both contributed to drivers' traffic violations and crashes. The findings show that the reliability and validity of the Chinese version of the DCBS are acceptable, and it can be used as a tool to measure driving motivation in China.
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Problem. Researchers agree that a consistent definition for aggressive driving is lacking. Such definitional ambiguity in the literature impedes the accumulation of accurate and precise information, and prevents researchers from c...
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Problem. Researchers agree that a consistent definition for aggressive driving is lacking. Such definitional ambiguity in the literature impedes the accumulation of accurate and precise information, and prevents researchers from communicating clearly about findings and implications for future research directions. This dramatically slows progress in understanding the causes and maintenance factors of aggressive driving. Summary. This article critiques prevailing definitions of driver aggression and generates a definition that, if used consistently, can improve the utility of future research. Pertinent driving behaviors have been variably labeled in the literature as risky, aggressive, or road rage. The authors suggest that the term "road rage" be eliminated from research because it has been used inconsistently and has little probability of being clarified and applied consistently. Instead, driving behaviors that endanger or have the potential to endanger others should be considered as lying on a behavioral spectrum of dangerous driving. Three dimensions of dangerous driving are delineated: (a) intentional acts of aggression toward others, (b) negative emotions experienced while driving, and (c) risk-taking. Impact on Industry. The adoption of a standardized definition for aggressive driving should spark researchers to use more explicit operational definitions that are consistent with theoretical foundations. The use of consistent and unambiguous operational definitions will increase the precision of measurement in research and enhance authors' ability to communicate clearly about findings and conclusions. As this occurs over time, industry will reap benefits from more carefully conducted research. Such benefits may include the development of more valid and reliable means of selecting safe professional drivers, conducting accurate risk assessments, and creating preventative and remedial dangerous driving safety programs.
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The main trends for the next decade within the multi-disciplinarian field of adjustable speed drives are discussed, and a number of topics are especially addressed in this paper. The topics include market development over the last...
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The main trends for the next decade within the multi-disciplinarian field of adjustable speed drives are discussed, and a number of topics are especially addressed in this paper. The topics include market development over the last decade, historical development in power converter volume and weight, future drive demands, power converter architecture, interfacing to the grid, motor types, and control principles. Furthermore, some of the possibilities and trends related to decentral "intelligence" and Internet connection are discussed.
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Purpose: In the United States, motor-vehicle crashes are the leading cause of death for individuals 18-24 years of age. Multiple factors place young drivers at an increased risk including risky and aggressive driving behaviors. Ag...
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Purpose: In the United States, motor-vehicle crashes are the leading cause of death for individuals 18-24 years of age. Multiple factors place young drivers at an increased risk including risky and aggressive driving behaviors. Aggressive driving has been shown to account for more than half of the driving fatalities in the United States. Driving anger is predictive of aggressive driving and adverse driving outcomes. Research outside the context of driving has demonstrated associations between multiple dimensions of forgiveness and anger, aggressive behaviors, and health outcomes. A very small body of research suggests a modest relationship between forgiveness and both driving anger and aggressive driving. The current study expands on previous research to examine the impact of multiple dimensions of forgiveness on adverse driving outcomes. Methods: Undergraduate students (N = 446) completed, self-report measures of forgiveness, driving anger, driving anger expression, aggressive driving behaviors, and aversive driving outcomes. Results: Bivariate correlations indicated a significant negative relationship between each dimension of forgiveness and driving anger, driving anger expression, and aggressive driving. Forgiveness (of others and of uncontrollable situations) was found to have a significant indirect only effect on traffic violations through the mediators of driving anger and aggressive driving. Discussion: Current findings support and expand on previous research examining the association of forgiveness with adverse driving outcomes. Forgiveness of others and forgiveness of uncontrollable situations, but not forgiveness of self, were shown to indirectly impact traffic violations/warnings, but not crashes, within the past five years through reduced driving-related anger, anger expression, and/or aggression. Implications, limitations, and future research are discussed. Published by Elsevier Ltd.
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Background: The suitability of driving simulators for the prediction of driving behaviour in road traffic has been able to be confirmed in respect of individual assessment parameters. However, there is a need for overarching appro...
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Background: The suitability of driving simulators for the prediction of driving behaviour in road traffic has been able to be confirmed in respect of individual assessment parameters. However, there is a need for overarching approaches that take into account the interaction between various influencing factors in order to establish proof of validity. The aim of this study was to explore the validity of our driving simulator in respect of its ability to predict driving behaviour based on participants' observed driving errors and driver's individual characteristics. Method: 41 healthy participants were assessed both in a Smart-Realo-Simulator and on the road. By means of linear modelling, the correlation between observed driving errors was investigated. In addition, the influence of self-reported and externally assessed driving behaviour as well as individual parameters (education and training; driving history) were analysed. Results: By including these factors, 58% of the variance could be explained. For observed driving errors, a relative validity was established. For self-reported and externally assessed driving behaviour, an absolute to relative validity emerged. The amount of time spent in education and training proved to have a significant influence on driving performance in the simulator, but not on the road. Discussion: In general, our results confirmed the validity of our driving simulator with regard to observed and self-reported driving behaviour. It emerged that education and training as potential indicators of cognitive resources played a differential role regarding the study conditions. Since real road driving is considerably automated in experienced drivers, this result suggests that simulation-related behavioural regulation is challenged by additional cognitive demands as opposed to behavioural regulation extending to real road driving. However, the source of these additional cognitive demands remains currently elusive and may form the subject of future research.
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