The Driver Behaviour Questionnaire in Arab Gulf countries: Qatar and United Arab Emirates

Manchester Driver Behaviour Questionnaire (DBQ) is one of the most widely used instruments for measuring self-reported driving style and investigating the relationship between driving behaviour and accident involvement. In spite of the fact that Arab Gulf countries have a higher road accident fatality rate compared to European countries and USA, the DBQ has not been used in Arab countries so far. The aim of the present study was to investigate the factor structure of the DBQ, then to examine the relationships between the factors of the DBQ and accident involvement, and finally to compare DBQ scores between the two gulf countries: Qatar and United Arab Emirates (UAE). In this study, 1110 Qatari (263 females and 847 males) and 1286 UAE drivers (294 females and 992 males) filled a survey questionnaire including the DBQ and background information. The results showed that UAE drivers scored higher on almost all DBQ items than Qatari drivers. Surprisingly, only very small differences between men and women on the DBQ item scores were found in UAE. Factor analysis resulted in four factors, which were named as errors, pushing-speeding violations, lapses, and aggression-speeding violations. However, there were a number of differences in the factor structure of the DBQ in UAE and Qatar when compared to the theoretical four-factor structure of the DBQ. Reliabilities of some subscales were also questionably lower than in the original British data. Logistic regression analyses showed that errors, lapses, and aggression-speeding violations predicted accident involvement in Qatar but not in UAE after controlling the effect of the demographic variables (age, sex, and annual mileage).     

Measuring errors and violations on the road: A bifactor modeling approach to the Driver Behavior Questionnaire

The Driver Behavior Questionnaire (DBQ) is a self-report measure of driving behavior that has been widely used over more than 20 years. Despite this wealth of evidence a number of questions remain, including understanding the correlation between its violations and errors sub-components, identifying how these components are related to crash involvement, and testing whether a DBQ based on a reduced number of items can be effective. We address these issues using a bifactor modeling approach to data drawn from the UK Cohort II longitudinal study of novice drivers. This dataset provides observations on 12,012 drivers with DBQ data collected at .5, 1, 2 and 3 years after passing their test. A bifactor model, including a general factor onto which all items loaded, and specific factors for ordinary violations, aggressive violations, slips and errors fitted the data better than correlated factors and second-order factor structures. A model based on only 12 items replicated this structure and produced factor scores that were highly correlated with the full model. The ordinary violations and general factor were significant independent predictors of crash involvement at 6 months after starting independent driving. The discussion considers the role of the general and specific factors in crash involvement.     

Driver Behaviour Questionnaire: a follow-up study

The aim of the present study was to investigate time-across stability of different factor solutions (two to six factors) of the Driver Behaviour Questionnaire (DBQ) and to examine the changes on self-reported driving pattern in a follow-up sample (n=622) after three years of the first responses. Repeated measures ANOVA indicated that there was a significant change between Time 1 and Time 2 scores in six items of the DBQ. Drivers reported less competitiveness while driving at Time 2 but more speeding, drinking and driving, driving to wrong destinations and having no recollection of the road just travelled. Significant Time x Sex x Age interactions were found in change scores of four items. Young males and middle-aged female drivers emerged as a group of drivers who changed their self-reported driving pattern over three years. Additionally, sex, age or both had main effects on scores of 21 items. Males and young drivers reported more violations than females and older drivers, whereas female drivers reported more errors and lapses. After running possible factor solutions with Tucker's Phi agreement coefficients, the results indicated that the four- and two-factor solutions were the most stable and interpretable ones. The two-factor solution showed better time-across stability than the four-factor structure did, although the factor solutions found at Time 1 and Time 2 were not as identical as expected. Separate analysis revealed that drivers who had high annual mileage at Time 1 and Time 2 showed the strongest two-factor time-across stability. The test-retest reliability was 0.50 for errors, 0.76 for violations and 0.61 for the whole scale.     

驾驶员风险驾驶行为及影响因素分析

为探究中国驾驶员风险驾驶行为产生的原因及其影响因素,利用修正的曼彻斯特DBQ问卷对349名中国驾驶员进行了问卷调查。经过探索性因素分析(EFA)得到了4因子结构模型,分别命名为认知错误、违规行为、无意失误和记忆力流失,并利用验证性因素分析(CFA)对该模型进行了验证。研究了性别与驾驶行为的关系,结果表明男性驾驶员更容易发生违规行为,而女性驾驶员发生无意失误行为的频率较男性驾驶员偏高。通过变量间的相关性分析,研究了驾驶员的统计学信息、4因子以及交通事故之间的关系,构建了基于Logistic回归的交通事故预测模型,研究表明违规行为和年龄是影响交通事故的重要参数。     

French validation of a new version of the Driver Behavior Questionnaire (DBQ) for drivers of all ages and level of experiences

The purpose of this study was to validate a new version of the Driver Behavior Questionnaire (DBQ) on a sample of French drivers in order to gain a better understanding of different driver behaviors, by differentiating two types of violations (aggressive and ordinary), three types of errors (dangerous, inattention and inexperience) and by taking positive behaviors into account. 525 drivers (205 men and 320 women), between 18 and 79 years of age, filled in a questionnaire on line including the 41 items in the new version of the DBQ and information relative to their mobility and their accident history. Exploratory factor analysis confirmed a six-factor structure: “dangerous errors”, “inattention errors”, “inexperience errors”, “ordinary violations”, “aggressive violations” and “positive behaviors”. A revised version with 23 items of the new version of the DBQ was produced by selecting the items that loaded most strongly on the six factors. The results also showed the link between demographic variables (age and gender), mobility (kilometers driven weekly), the DBQ scores and the involvement in an accident in the previous five years. This study permitted to validate a more detailed version of the “Driving Behavior Questionnaire” among French drivers of all age and all level of experience.     

Age,gender, mileage and the DBQ: The validity of the Driver Behavior Questionnaire in different driver groups

The Driver Behavior Questionnaire (DBQ) is one of the most widely used instruments for measuring self-reported driving behaviors. Despite the popularity of the DBQ, the applicability of the DBQ in different driver groups has remained mostly unexamined. The present study measured aberrant driving behavior using the original DBQ (Reason, J.T., Manstead, A., Stradling, S.G., Baxter, J., Campbell, K., 1990. Errors and violations on the road – a real distinction. Ergonomics, 33 (10/11), 1315–1332) to test the factorial validity and reliability of the instrument across different subgroups of Danish drivers. The survey was conducted among 11,004 Danish driving license holders of whom 2250 male and 2190 female drivers completed the questionnaire containing background variables and the DBQ. Exploratory and confirmatory factor analysis showed that the original three-factor solution, a four-factor solution and a two-factor solution had acceptable fit when using the whole sample. However, fit indices of these solutions varied across subgroups. The presents study illustrates that both the original DBQ and a Danish four-factor DBQ structure is relatively stable across subgroups, indicating factorial validity and reliability of the DBQ. However, as the Danish DBQ structure has an overall better fit, the present study highlights the importance of performing an explorative analysis when applying the DBQ in order to assess the problem areas within a driving population.     

Behavior differences in drivers with attention deficit hyperactivity disorder: the driving behavior questionnaire

Attention deficit hyperactivity disorder (ADHD) has been linked to an increased number of driving citations, especially for speeding and a four-fold increase in accident risk. Using three factors—errors, lapses and violations—found in prior work, we ran regression analyses to explore the impact of ADHD status, gender and age on error, lapse and violation report scores. The results indicate that ADHD status is positively and significantly related to error, lapse and violation scores. In the cases of errors and violations, however, interactions between ADHD status and age are significant such that older participants with ADHD do not differ statistically from controls. There were no significant effects of age on error, lapse or violation scores for control participants. Consistent with earlier work, gender was significantly related to violation scores, but not to errors or lapses, such that men were more likely than women to report higher violation scores, controlling for ADHD status and age. We consider possible explanations for these findings and discuss the implications of these results for the accident risk of individuals with ADHD as they age.     

Self-reports of aberrant behaviour on the roads: errors and violations in a sample of Greek drivers

Recent studies have shown that unsafe driver acts can be classified into two distinct categories (i.e.. errors and violations) entailing different measures for reducing road traffic accidents. A survey of over 1,400 drivers in Greece is reported in which a variety of aberrant driving behaviours have been identified. The present study has confirmed the results of earlier studies in the driving populations of Britain. Australia and Sweden that errors and violations are the major determinants in the factor structure of aberrant behaviours. Three types of violations were identified including, highway code-, aggressive- and parking-violations (or situational violations). Mistakes and lapses were two major forms of errors. The factor analysis identified another two classes of behaviour that could not be accounted for very well by the error-violation distinction. One class of behaviours referred to a state of low preparedness and negligence while the other class referred to communication errors and 'social disregard' for the other road users. Each class of behaviour was found to have different demographic correlates. Finally, accident liability was predicted by self-reported tendency to commit highway-code violations, but not by tendency to make errors due to failures of judgement (i.e.. mistakes) or lapses. Aggressive violations were significantly related to involvement in speeding convictions and law-breaking whilst highway-code violations were related to speeding convictions only.     

Patterns of driver stress and coping strategies in a Greek sample and their relationship to aberrant behaviors and traffic accidents

This paper presents an investigation into the relationship between driver stress, coping strategies and aberrant driving of a Greek sample of company employees (N=714). The results supported the main factor structures of the Driver Behavior Inventory (Matthews, G., Tsuda, A., Xin, G., Ozeki, Y., 1999. Individual differences in driver stress vulnerability in a Japanese sample. Ergonomics 42, 401-415) and Driver Behavior Questionnaire (Kontogiannis, T., Kossiavelou, Z., Marmaras, N., 2002. Self-reports of aberrant behavior on the roads: errors and violations in a sample of Greek drivers. Accident Anal. Prev. 34, 391-399). An inventory of coping strategies was also examined in terms of self reports. Confrontive coping was characteristic of drivers high on aggression who also had higher rates of mistakes and violations. Coping in terms of self-criticism was exhibited by drivers high on dislike of driving (i.e., anxiety) who reported a higher incidence of mistakes. Task-focus coping was characteristic of alertness and had a weak correlation with confidence. Drivers high in confidence reported fewer mistakes and violations which, in association with low perception of risk, was a particularly worrying aspect of driving. A contextual model of accident involvement was tested with LISREL in which violations yielded a direct effect whilst aggression yielded an indirect effect mediated by violations. Alertness and confidence were both related to safety orientation but failed to predict accident rates and speeding convictions.     

Measurement invariance of the Driver Behavior Questionnaire across samples of young drivers from Finland and Ireland

This article investigates the factor structure of the 27-item Driver Behavior Questionnaire (DBQ) in two samples of young drivers (18–25 years of age); one from Finland and the other from Ireland. We compare the two-, three-, and four-factor solutions using Confirmatory Factor Analysis (CFA) and show that the four-factor model (with the latent variables rule violations, aggressive violations, slips and lapses) fits the data from the two countries best. Next, we compare the fit of this model across samples by the means of a measurement invariance analysis in the CFA framework. The analysis shows that the four-factor model fails to fit both samples equally well. This is mainly because the socially-oriented latent variables (rule violations and aggressive violations) are different in nature in the two samples. The cognitively-oriented latent variables (slips and lapses) are, however, similar across countries and the mean values of slips can be compared using latent variable models. However, the common practice of calculating sum scores to represent the four latent DBQ variables and comparing them across subgroups of respondents is unfounded, at least when comparing young respondents from Finland and Ireland.     

The relative impact of work-related stress, life stress and driving environment stress on driving outcomes

Previous research has shown the association between stress and crash involvement. The impact of stress on road safety may also be mediated by behaviours including cognitive lapses, errors, and intentional traffic violations. This study aimed to provide a further understanding of the impact that stress from different sources may have upon driving behaviour and road safety. It is asserted that both stress extraneous to the driving environment and stress directly elicited by driving must be considered part of a dynamic system that may have a negative impact on driving behaviours. Two hundred and forty-seven public sector employees from Queensland, Australia, completed self-report measures examining demographics, subjective work-related stress, daily hassles, and aspects of general mental health. Additionally, the Driver Behaviour Questionnaire (DBQ) and the Driver Stress Inventory (DSI) were administered. All participants drove for work purposes regularly, however the study did not specifically focus on full-time professional drivers. Confirmatory factor analysis of the predictor variables revealed three factors: DSI negative affect; DSI risk taking; and extraneous influences (daily hassles, work-related stress, and general mental health). Moderate intercorrelations were found between each of these factors confirming the ‘spillover’ effect. That is, driver stress is reciprocally related to stress in other domains including work and domestic life. Structural equation modelling (SEM) showed that the DSI negative affect factor influenced both lapses and errors, whereas the DSI risk-taking factor was the strongest influence on violations. The SEMs also confirmed that daily hassles extraneous to the driving environment may influence DBQ lapses and violations independently. Accordingly, interventions may be developed to increase driver awareness of the dangers of excessive emotional responses to both driving events and daily hassles (e.g. driving fast to ‘blow off steam’ after an argument). They may also train more effective strategies for self-regulation of emotion and coping when encountering stressful situations on the road.     

Young novice driver subtypes: Relationship to driving violations, errors and lapses

The present study aimed to identify, in a large Italian sample of young, novice drivers, specific subtypes of drivers on the basis of combinations of self-reported personality traits (i.e., driving anger, anxiety, angry hostility, excitement-seeking, altruism, normlessness and driving locus of control) and to evaluate their high-risk driving behaviors not only in terms of traffic rule violations and risk-taking behaviors, but also in terms of driving errors and lapses as measured by the Manchester Driver Behavior Questionnaire. Participants were 1008 high school students between the ages of 18 and 23 years, with valid driver's licenses. On the basis of a cluster analysis of the personality variables, three easily interpretable driver subgroups were identified (risky drivers, worried drivers and careful drivers) that differed on self-reported accident involvement, attitudes toward traffic safety and risk perception, as well as on driving violations, errors, and lapses. The inclusion of internal and external driving locus of control, variables not previously considered in similar cluster studies, provided a relevant contribution to the final cluster solution. Further, the use of the Driving Behavior Questionnaire permitted the differentiation between deliberate deviations from safe driving practices and mistakes due to misjudgments or lapses in attention. This distinction was critical for understanding the behavior of each of the three identified subgroups of drivers, and for planning interventions to promote safe driving.     

The Dula Dangerous Driving Index in China: An investigation of reliability and validity

The aim of this study was to translate the Dula Dangerous Driving Index (DDDI) into Chinese and to verify its reliability and validity. A total of 246 drivers completed the Chinese version of the DDDI and the Driver Behavior Questionnaire (DBQ). Specific sociodemographic variables and traffic violations were also measured. A confirmatory factor analysis confirmed the internal structure of the DDDI, and the four-factor model was supported in China. Measures of convergent and criterion validity demonstrated that the Chinese DDDI was valid. Its convergent validity was supported by its positive relationship with the DBQ, and its criterion validity was tested using its relationship with self-reported accident involvement and traffic violations. Finally, score comparisons between different demographic groups revealed significant differences, thereby linking age and driving years to dangerous driving.     

The Manchester Driver Behaviour Questionnaire: a cross-cultural study

The aim of the present study was to investigate if the original factorial structure of the Manchester Driver Behaviour Questionnaire (DBQ) was replicated in Finland and The Netherlands. A postal questionnaire survey of drivers was carried out in Britain, Finland and The Netherlands. Exploratory factor analysis together with target (Procrustes) rotation and factorial agreement indexes were calculated to investigate the applicability of Finnish and Dutch versions of DBQ. Results of the factor comparisons showed that the DBQ four-factor structures found in Finland and The Netherlands were congruent but not perfect with the target structure found in Britain. Reliabilities of the scales were around the same level as in the British data. In addition to the four first-order factors, two second-order factors (deliberate violations and unintentional errors) were found in all three countries which supports the original structure by Reason et al. Issues related to cross-cultural use of traffic behaviour questionnaires are discussed.     

Self-reported driving behaviors as a function of trait anxiety

This study examined self-reported driving behaviors in 120 (Israeli) male drivers as a function of trait anxiety (TA). TA was assessed through the TA scale of the State-Trait Anxiety Inventory. For the analysis of driving behaviors, the present study used the Driver Behavior Questionnaire (DBQ) and adopted previous distinctions between four classes of behaviors within the DBQ: errors, lapses, ordinary violations and aggressive violations. Regression analyses revealed that level of TA had a significant direct positive effect on all dependent variables, suggesting riskier driving behaviors among high-anxious individuals. Significant logarithmic effects for all measures indicate that these aberrant driving behaviors increase more at increasing LTA-, than at increasing HTA-values. Consistent with the general adverse effects of anxiety on performance effectiveness, the present findings as well, are interpreted in the framework of theories which suggest that worries occupy the capacities of working memory, at the expense of the task to be performed. The positive relation between aggressive violations and TA is sought to reflect low levels of emotional adjustment among high-anxious individuals.     

Driver irritation and aggressive behaviour

A sample of 98 drivers responded to a Swedish version of the UK Driving Anger Scale [UK DAS; [Lajunen, T., Parker, D., Stradling, S.G., 1998. Dimensions of driver anger, aggressive and highway code violations and their mediation by safety orientation in UK drivers. Transport. Res. Part F 1, 107–121]. The results indicated that the Swedish version, like the British original, measures three sources of driver irritation: “progress impeded”, “reckless driving”, and “direct hostility”. Structural equation modelling was used to investigate the relationships between the three sources of self-reported driver irritation, aggressive actions, speed, sex, age, and annual mileage. The models suggested a positive relationship between the amount of driver irritation and frequency of aggressive actions for all three sources of irritation. Female drivers tended to become more irritated than male drivers, while the male drivers tended to act aggressively more often. Surprisingly, drivers who reported that they enjoy fast speeds did not become more irritated than slower drivers when obstructed. The important conclusions are that experienced irritation often leads to openly aggressively actions, and that expression of aggressive behaviours may be a cause of other drivers’ feeling of irritation.     

A comparison of static and dynamic hazard perception tests

Hazard perception is a vital component to safe driving and hazard perception tests (HPTs) are being used with greater frequency for driver training, assessment and licensure. In this study, we compared a dynamic HPT (Scialfa et al., 2011), which presents short video scenes to observers and a static HPT (Scialfa et al., 2012), which uses still images. Both tests require the observer to indicate the presence of a traffic conflict that would lead to a collision between the “camera” vehicle and another road user or fixed object. Young adult drivers (n = 56) completed both forms of the HPT, along with a modified version of the Driver Behavior Questionnaire ( Reason et al., 1990) and a measure of simple reaction time. Self-reported collision and moving violation data were also collected. As in previous work, both static and dynamic HPTs had good reliability. The correlation between composite static and dynamic scores was approximately .40, but was reduced to approximately .25 when simple reaction time was controlled. Both HPTs predicted lapses and errors on the Driver Behavior Questionnaire, but neither predicted self-reported collisions or moving violations. Discussion focuses on the differences in visual cues available in dynamic and static scenes and how these differences could influence decisions about potential hazards.     

Personality and attitudes as predictors of risky driving among older drivers

Although there are several studies on the effects of personality and attitudes on risky driving among young drivers, related research in older drivers is scarce. The present study assessed a model of personality-attitudes-risky driving in a large sample of active older drivers. A cross-sectional design was used, and structured and anonymous questionnaires were completed by 485 older Italian drivers (Mean age = 68.1, SD = 6.2, 61.2% males). The measures included personality traits, attitudes toward traffic safety, risky driving (errors, lapses, and traffic violations), and self-reported crash involvement and number of issued traffic tickets in the last 12 months. Structural equation modeling showed that personality traits predicted both directly and indirectly traffic violations, errors, and lapses. More positive attitudes toward traffic safety negatively predicted risky driving. In turn, risky driving was positively related to self-reported crash involvement and higher number of issued traffic tickets. Our findings suggest that theoretical models developed to account for risky driving of younger drivers may also apply in the older drivers, and accordingly be used to inform safe driving interventions for this age group.     

Modeling safe and unsafe driving behaviour

A sample of 743 Dutch drivers was queried about driving-related errors and violations, and about the frequency of their accident involvement over the past 3 years. In addition, the following risky behaviours and characteristics related to driving were measured through self-report: strategic decisions made about driving before starting a trip, attitudes related to committing violations, psychological precursors of unsafe driving (such as being tired or stressed when driving), and physical precursors of unsafe driving (suffering physical or psychological handicaps when driving). The results show that several scales have acceptable reliability coefficients, though several others are in need of improvement. Path analysis showed that an acceptable structural model could be developed to describe all empirical relationships. Considerable parts of the variance in the violations scores and the psychological precursors scores could be explained by the other model variables. In terms of predictive power, "unsafe" attitudes, physical precursors, and psychological precursors had the most impact, each explaining up to 9% of the variance in violations scores, errors scores, and/or psychological precursors scores. The way these results can be utilized in future accident prevention programs and in driver training programs are indicated, as are their implications for future research.     

Women drivers' behaviour, socio-demographic characteristics and accidents.

The purpose of this study was to examine factors which affect driving behaviour and accident rates in women in Australia. Two groups of women (aged 18-23 and 45-50 years) participating in the Australian Longitudinal Study on Women's Health, completed a mailed questionnaire on driver behaviour and road accidents. Self reported accident rates in the last 3 years were 1.87 per 100,000 km for the young drivers (n = 1199) and 0.59 per 100,000 km for the mid-age drivers (n = 1564); most accidents involved damage only, not injury. Mean scores for lapses obtained using the Driver Behaviour Questionnaire, were similar in the two age groups and similar to those found in other studies. In contrast, scores for errors and violations for the young women were higher than for the mid-age group and previous reports using the same instruments. Riskier driving behaviour among young women was associated with stress and habitual alcohol consumption. In the mid-age group, poorer driver behaviour scores were related to higher levels of education, feeling rushed, higher habitual alcohol consumption and lower life satisfaction scores. Accident rates in both groups were significantly related to lapses. Women born in non-English speaking countries had significantly higher risk of accidents compared to Australian-born women: relative risk = 3.40, 95% confidence interval (1.93, 5.98) for the young drivers; relative risk = 1.77, 95% confidence interval (1.11, 2.83) for mid-age drivers. These findings support the need for road safety campaigns targeted at young women to reduce dangerous driving practices, such as speeding, 'tail gating' and overtaking on the inside. There is also a need for further research to understand how lifestyle characteristics are associated with higher risk of accidents and to explore factors which might account for the higher risk for women drivers who were born overseas.