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• The risk of apprehension for some common road traffic law violations is estimated. • The risk is often between 10 and 50 per million vehicle kilometres driven while committing a violation. • The risk of apprehension is not proportional to the risk of injury associated with different violations. • The risk of apprehension has declined in recent years, except for speeding. Violations of road traffic law are widespread in all countries. Probably the most common violation is speeding. It is not uncommon that 50 % of vehicles are speeding. Little is known about the risk of apprehension for various traffic law violations, although it is often assumed that nearly all violations go undetected. This paper quantifies the risk of apprehension for common traffic law violations in Norway, based on data for the period 2006–2022. The violations included are speeding, non-use of seat belts, driving with an illegal blood alcohol concentration (above 0.02 %), driving while impaired by medicines or illegal drugs, use of a hand-held mobile phone while driving and violations of the regulations of hours of service and rest for drivers of heavy vehicles. Risk of apprehension is stated as the number of detected violations per million vehicle kilometres driven while committing the violation. The risk of apprehension is in most cases between 10 and 50 per million vehicle kilometres driven while committing a violation. This is quite low. For speeding, the risk of apprehension was between 10 and 12 per million vehicle kilometres of speeding during 2006–2022. For an average driver, this means that he or she could speed on every trip for about 8–10 years before getting caught. Reducing traffic law violations may contribute to a large reduction of the number of traffic fatalities. [ABSTRACT FROM AUTHOR]

Highlights • A 21-item, three-factor version of the DBQ was confirmed in a sample of Canadian older drivers. • Older drivers' responses to this version of the DBQ were stable across four years. • Older drivers' errors, violations and lapses remained similar across four years. Abstract The current study aimed to: 1. to confirm the 21-item, three-factor Driver Behaviour Questionnaire (DBQ) structure suggested by Koppel et al. (2018) within an independent sample of Canadian older drivers; 2. to examine whether the structure of the DBQ remained stable over a four-year period; 3. to conduct a latent growth analysis to determine whether older drivers' DBQ scores changed across time. Five hundred and sixty Canadian older drivers (males = 61.3%) from the Candrive/Ozcandrive longitudinal study completed the DBQ yearly for four years across five time-points that were approximately 12 months apart. In Year 1, the average age of the older drivers was 76.0 years (SD = 4.5 years; Range = 70–92 years). Findings from the study support the 21-item, three-factor DBQ structure suggested by Koppel and colleagues for an Australian sample of older drivers as being acceptable in an independent sample of Canadian older drivers. In addition, Canadian older drivers' responses to this version of the DBQ were stable across the five time-points. More specifically, there was very little change in older drivers' self-reported violations, and no significant change for self-reported errors or lapses. The findings from the current study add further support for this version of the DBQ as being a suitable tool for examining self-reported aberrant driving behaviours in older drivers. Future research should investigate the relationship between older drivers' self-reported aberrant driving behaviours and their performance on functional measures, their responses to other driving-related abilities and practice scales and/or questionnaires, as well their usual (or naturalistic) driving practices and/or performance on on-road driving tasks. [ABSTRACT FROM AUTHOR]

The aim of the current study was to examine how self-reported aberrant driving behaviours change across a three time-points in a group of older drivers. Two hundred and twenty-seven older drivers (males = 69.6%) from the Candrive/Ozcandrive longitudinal study completed the Driving Behaviour Questionnaire (DBQ) each yearacross three time-points (i.e., Year 1, Year 2, Year 3). At the third time-point, older drivers ranged in age from 77 to 96 years (M = 81.74 years; SD = 3.44 years). A longitudinal confirmatory factor analysis showed that a modified 21-item, 3-factor (errors, lapses and violations) DBQ was invariant across the time period, suggesting that the structure of the questionnaire was stable across each time-point. Further, multiple domain latent growth analysis on the resultant factors for errors, lapses and violations showed that the frequency of errors remained similar across the three-year period, while violations and lapses showed very marginal decreases in frequency. These changes were independent of the absolute number of these behaviours; Drivers with higher violations or lapses in Year one, showed similar decreases in frequency as those who self-reported lower frequencies of the behaviours. These results suggest that the DBQ is a reliable tool to measure older drivers’ self-reported aberrant driving behaviours, and that these behaviours do not show much change across time. Future research should validate the self-reported responses from the DBQ with more objective measures such as those collected through naturalistic driving study (NDS) methodology or on-road driving tasks. [ABSTRACT FROM AUTHOR]

Based on an extended Theory of Planned Behavior (TPB, Ajzen, 1985, 1991 ), we conducted surveys in order to explain and predict violations at a railroad crossing, among pedestrians ( n = 153) and car drivers ( n = 151). Measures were made with respect to three chronologically related railroad crossing situations that varied in risk level. The situations were described in scenarios and depicted on photographs. The participants were recruited in the suburbs of Paris, at two automated railroad crossings with four half-barriers. We found that the pedestrians had stronger crossing intentions than did car drivers, especially at the more congested crossing of the two under study. For both categories of road users, intentions and the amount of intention variance explained by the extended TPB factors decreased significantly with risk level. In the most dangerous situations, risk-taking was the most unlikely and the least predictable Self-reported past frequency of crossing against safety warning devices was the main predictor of the intention to commit this violation again, especially among males, followed by the attitude and the injunctive norm in favor the violation. Moreover, car drivers were influenced in their crossing intentions by the descriptive norm. The presence of another vehicle on the tracks when the safety warning devices were activated was perceived not as facilitating, but as an additional risk factor. The discussion addresses the importance of taking into account these determinants of violations in conceiving countermeasures. Our findings could be especially useful for conceiving risk-communication campaigns. [ABSTRACT FROM AUTHOR]

Studies that have evaluated the association between increases in traffic fine amounts (fixed penalties) and changes in compliance with road traffic law or the number of accidents are synthesised by means of meta-analysis. The studies were few and different in many respects. Nine studies were included in the meta-analysis of changes in compliance. Four studies were included in the meta-analysis of changes in accidents. Increasing traffic fines was found to be associated with small changes in the rate of violations. The changes were non-linear. For increases up to about 100%, violations were reduced. For larger increases, no reduction in violations was found. A small reduction in fatal accidents was associated with increased fixed penalties, varying between studies from less than 1–12%. The main pattern of changes in violations was similar in the fixed-effects and random-effects models of meta-analysis, meta-regression and when simple (non-weighted) mean values were computed. The main findings are thus robust, although most of the primary studies did not control very well for potentially confounding factors. Summary estimates of changes in violations or accidents should be treated as provisional and do not necessarily reflect causal relationships. [ABSTRACT FROM AUTHOR]

Novice motorists are at high crash risk during the first few months of driving. Risky behaviours such as speeding and driving while distracted are well-documented contributors to crash risk during this period. To reduce this public health burden, effective road safety interventions need to target the pre-driving period. We use the Theory of Planned Behaviour (TPB) to identify the pre-driver beliefs underlying intentions to drive over the speed limit ( N = 77), and while over the legal alcohol limit ( N = 72), talking on a hand-held mobile phone ( N = 77) and feeling very tired ( N = 68). The TPB explained between 41% and 69% of the variance in intentions to perform these behaviours. Attitudes were strong predictors of intentions for all behaviours. Subjective norms and perceived behavioural control were significant, though weaker, independent predictors of speeding and mobile phone use. Behavioural beliefs underlying these attitudes could be separated into those reflecting perceived disadvantages (e.g., speeding increases my risk of crash) and advantages (e.g., speeding gives me a thrill). Interventions that can make these beliefs safer in pre-drivers may reduce crash risk once independent driving has begun. [ABSTRACT FROM AUTHOR]

Introduction The current study builds on previous versions of the Driver Behaviour Questionnaire (DBQ) by incorporating a larger sample of driving behaviors targeting inattention, distraction, aggressive driving, and health related to aging. The goals of this study were to determine if the resulting factor structure was consistent with a more contemporary view of unsafe driving behaviors, and to determine whether scores on the factors could predict self-reported collisions and police citations. Methods The instrument was given to a sample of 3295 drivers ranging in age from 19 to 80+ years old. It was divided in two sections, the first to provide demographic information and driving history data and the second containing 105 driver behavior questions. Results An exploratory factor analysis resulted in a 65-item scale organized in four factors. The factors were labeled tentatively as Inattention Errors , Age-Related Problems , Distraction and Hurry , and Aggressive Violations . Regression analyses showed that the factors were predictors of self-reported, at-fault collisions and police citations. Practical implications The factor scores found in this research are consistent with a useful theoretical framework for understanding unsafe driver actions, and demonstrate some potential to identify several individual difference variables that predict self-reported collisions and citations. [ABSTRACT FROM AUTHOR]

The frequent incidents caused by metro passengers in China suggest that it is necessary to explore the classification and effects of passenger behaviors and their relations to incident involvement. A metro passenger behavior questionnaire (MPBQ) and a metro station staff questionnaire (MSSQ), both comprising 32 behavior items, were developed and surveyed on a sample of metro passengers ( N = 579) and metro staff ( N = 99). Using the MPBQ, the self-reported frequency of each aberrant behavior was measured and subjected to explanatory factor analysis, which revealed a three-factor solution on the 28 retained behavior items: transgressions, self-willed inattentions and abrupt violations. ANOVA was used to examine the effects of demographic and riding profile variables on different types of behaviors. The MSSQ was used to collect metro staff opinions on behavior frequency, severity and entities that might be affected, given that a specific behavior occurred. An importance hierarchy was established over the 32 identified behaviors to determine the most important riding behaviors. Finally, logistic regression showed that riding time, number of stops experienced by a passenger and, more importantly, transgressions and abrupt violations, were significant predictors of incident involvement. The possible explanations and implications of the findings might help in understanding passenger behaviors and targeting metro safety interventions in ways that promote safer operations. [ABSTRACT FROM AUTHOR]

Crashes at level crossings are a major issue worldwide. In Australia, as well as in other countries, the number of crashes with vehicles has declined in the past years, while the number of crashes involving pedestrians seems to have remained unchanged. A systematic review of research related to pedestrian behaviour highlighted a number of important scientific gaps in current knowledge. The complexity of such intersections imposes particular constraints to the understanding of pedestrians’ crossing behaviour. A new systems-based framework, called Pedestrian Unsafe Level Crossing framework (PULC) was developed. The PULC organises contributing factors to crossing behaviour on different system levels as per the hierarchical classification of Jens Rasmussen’s Framework for Risk Management. In addition, the framework adapts James Reason’s classification to distinguish between different types of unsafe behaviour. The framework was developed as a tool for collection of generalizable data that could be used to predict current or future system failures or to identify aspects of the system that require further safety improvement. To give it an initial support, the PULC was applied to the analysis of qualitative data from focus groups discussions. A total number of 12 pedestrians who regularly crossed the same level crossing were asked about their daily experience and their observations of others’ behaviour which allowed the extraction and classification of factors associated with errors and violations. Two case studies using Rasmussen’s AcciMap technique are presented as an example of potential application of the framework. A discussion on the identified multiple risk contributing factors and their interactions is provided, in light of the benefits of applying a systems approach to the understanding of the origins of individual’s behaviour. Potential actions towards safety improvement are discussed. [ABSTRACT FROM AUTHOR]

Personality traits are meaningful predictors of many significant life outcomes, including mortality. Several studies have investigated the relationship between specific personality traits and driving behaviours, e.g., aggression and speeding, in an attempt to identify traits associated with elevated crash risk. These studies, while valuable, are limited in that they examine only a narrow range of personality constructs and thus do not necessarily reveal which traits in constellation best predict aberrant driving behaviours. The primary aim of this study was to use a comprehensive measure of personality to investigate which personality traits are most predictive of four types of aberrant driving behaviour (Aggressive Violations, Ordinary Violations, Errors, Lapses) as indicated by the Manchester Driver Behaviour Questionnaire (DBQ). We recruited 285 young adults (67% female) from a university in the southeastern US. They completed self-report questionnaires including the DBQ and the Personality Inventory for DSM-5, which indexes 5 broad personality domains (Antagonism, Detachment, Disinhibition, Negative Affectivity, Psychoticism) and 25 specific trait facets. Confirmatory factor analysis showed adequate evidence for the DBQ internal structure. Structural regression analyses revealed that the personality domains of Antagonism and Negative Affectivity best predicted both Aggressive Violations and Ordinary Violations, whereas the best predictors of both Errors and Lapses were Negative Affectivity, Disinhibition and to a lesser extent Antagonism. A more nuanced analysis of trait facets revealed that Hostility was the best predictor of Aggressive Violations; Risk-taking and Hostility of Ordinary Violations; Irresponsibility, Separation Insecurity and Attention Seeking of Errors; and Perseveration and Irresponsibility of Lapses. [ABSTRACT FROM AUTHOR]

The present study examined the types of situations that cause Malaysian drivers to become angry. The 33-item version of the driver anger scale (Deffenbacher et al., 1994) was used to investigate driver anger amongst a sample of 339 drivers. Confirmatory factor analysis showed that the fit of the original six-factor model (discourtesy, traffic obstructions, hostile gestures, slow driving, illegal driving and police presence), after removing one item and allowing three error pairs to covary, was satisfactory. Female drivers reported more anger, than males, caused by traffic obstruction and hostile gestures. Age was also negatively related to five (discourtesy, traffic obstructions, hostile gestures, slow driving and police presence) of the six factors and also to the total DAS score. Furthermore, although they were not directly related to crash involvement, several of the six forms of driving anger were significantly related to the crash-related conditions of: near misses, loss of concentration, having lost control of a vehicle and being ticketed. Overall the pattern of findings made in the present research were broadly similar to those from Western countries, indicating that the DAS is a valid measure of driving anger even among non-European based cultures. [ABSTRACT FROM AUTHOR]

Highlights: [•] A new version of the Driver Behavior Questionnaire (DBQ) has been validated on a sample of French drivers, of all ages and all level of experience. [•] Exploratory factor analysis on a 41-items version confirmed a six-factor structure: “dangerous errors”, “inattention errors”, “inexperience errors”, “ordinary violations”, “aggressive violations” and “positive behaviors”. [•] A shorter version with 23 items has been produced, with the same 6 factors, explaining 52.5% of the variance. [•] Results show the links between demographic, mobility variables, DBQ factors and involvement in accidents. [ABSTRACT FROM AUTHOR]

Highlights: [•] Drivers with ADHD have considerably lower relative risk (RR) of being involved in accidents than previously estimated. [•] The estimate of relative risk for ADHD-drivers is 1.36 without control for exposure and 1.23 with control for exposure. [•] The assertion stated by Barkley et al. (1993), that ADHD-drivers have 3–4 times higher RR than non-ADHD controls, is rebutted. [•] ADHD-drivers with comorbid ODD and/or CD had an RR of 1.86 compared to 1.31 in a sample of ADHD-drivers with no comorbidity. [•] All accident studies fail to differentiate between deliberate, intentional driving violations and unintended driver errors. [Copyright &y& Elsevier]

Highlights: [•] CFA supported the unidimensional nature of both the DAS and PADS. [•] The PADS was a significant predictor of violations. [•] The DAS was a significant predictor of near-misses. [•] Neither of the scales were significant predictors of crash-involvement. [ABSTRACT FROM AUTHOR]

Highlights: [•] Speeding and aggressive violations are common driving behavior among university students in Oman. [•] Omani drivers with history of offenses are more likely to cause car crashes. [•] Errors and aggressive violations are associated with car crashes among Omani drivers. [ABSTRACT FROM AUTHOR]

Abstract: The Driver Behavior Questionnaire (DBQ) is used to measure aberrant driver behavior by asking drivers how often they engage in various aberrant driver behaviors. Since the development of the original DBQ, several modified versions have been developed. The difference between the various versions is that new items are added or existing items modified or excluded. However, despite the differences, all versions are relatively long and therefore time-consuming and tiring to answer, which might limit the usability of the instrument. The main purpose of the present study was to develop a mini DBQ version by reducing the 27-item original DBQ to the shortest possible DBQ version. A second aim was to explore the feasibility of a second-order structure within the data, which means that violations, errors and lapses factors load on a higher-order aberrant driver behavior factor. The presence of a second-order structure further indicates the validity of the DBQ and its theoretical structure. Confirmatory factor analysis (CFA) was used to test the fit (i.e., how well the models explain the data) of the original DBQ versus the fit of the shortest possible DBQ, as well as the presence of a second-order structure for the DBQ. The results indicated a nine-item Mini-DBQ. In addition, a second-order structure was established in the data. These findings indicate that the Mini-DBQ is a valid and useful short measure of aberrant driver behavior. [Copyright &y& Elsevier]

Abstract: This study uses three-level scenario design and Spike model constructs to investigate the risk premium Taiwan motorcycle operators are willing to pay for moving violations. The primary focus of the investigation is on four types of moving violations including speeding, running red lights, right turn on red violations, and drunk driving. In the model, these four types of violations influence the willingness to pay a risk premium. The results show that, in addition to increasing enforcement, raising the level of fines is one of the most effective methods to influence levels of compliance. Estimated results through the Spike model show that speeders will accept a risk premium of NT$740 (US$1=NT$30), while motorcycle operators who run red lights will accept a risk premium of NT$1100, motorcycle operators who turn right on red will accept a risk premium of NT$367, and motorcyclists who drive drunk will accept a risk premium of NT$18,540. This indicates that current fines in Taiwan could be raised. [Copyright &y& Elsevier]

Abstract: 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. [Copyright &y& Elsevier]

Abstract: Interest in motor racing is investigated as a possible source of influence on driver attitudes toward speeding and driver behaviour. Previous studies have identified links between motor racing and road accidents on public roads. One study found that the level of interest in motor racing was positively correlated with risky driving behaviours of young male drivers. This paper outlines a conceptual framework for investigating the association between interest in motor racing and speeding violations on public roads. A sample survey of households in Queanbeyan, NSW, was used to examine the relationship between the level of interest in motor racing and attitudes to speeding and driving violations in a group of mature drivers. Results indicate that the level of interest in motor racing is significantly related to attitudes towards speeding, controlling for age, education level and sensation seeking propensity. Higher levels of interest in motor racing are associated with higher pro-speeding attitudes. Unlike the previous research on young male drivers, there was no significant relationship between interest in motor racing and speeding violations for this study of mature drivers. The implications of the study for road safety interventions are discussed. [Copyright &y& Elsevier]

Abstract: Previous research has found that drivers tend to consider themselves superior to their peers on both driving ability and driving caution, as well as judging themselves as at less risk of a crash (crash-risk optimism). These studies have relied on explicit measures by getting drivers to respond to written items. The current study measured 158 New Zealand drivers’ explicit and implicit attitudes towards their own driving attributes in comparison with others. Implicit attitudes were measured using a computer-based reaction time task, the Implicit Association Test (IAT). Both explicit and implicit self-enhancement biases were found in driver ability and driver caution. Implicit biases were considerably stronger than explicit biases and men demonstrated stronger self-enhancement biases in driving ability than women. Explicit and implicit ratings of driving ability and explicit ratings of driver caution predicted crash-risk optimism. Explicit and implicit ratings of driving caution predicted a measure of driving violations. The implications for safety interventions and research on drivers’ mental processes are discussed particularly in regard to the ability of implicit measures to bypass social desirability effects. [Copyright &y& Elsevier]

Abstract: This study was conducted to: (a) develop a questionnaire that reliably measures the behaviour of motorcyclists and (b) test which types of behaviour predict motorcyclists’ crash risk. A Motorcycle Rider Behaviour Questionnaire (MRBQ), consisting of 43 items to measure the self-reported frequency of specific riding behaviours, was developed and administered to a sample of motorcyclists (N =8666). Principal components analysis revealed a 5-factor solution (traffic errors, control errors, speed violations, performance of stunts and use of safety equipment). Generalised linear modelling showed that, while controlling for the effects of age, experience and annual mileage, traffic errors were the main predictors of crash risk. For crashes in which respondents accepted some degree of blame, control errors and speed violations were also significant predictors of crash risk. Implications of the findings are discussed in relation to deciding which countermeasures may be most effective at reducing motorcycle casualty rates. [Copyright &y& Elsevier]

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 1400 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. [Copyright &y& Elsevier]

• Risky behaviors have shown to be greatly involved in pedestrian's crashes and injuries. • This paper assessed the effect of gender on pedestrians' risky walking behaviors: errors and violations. • The data from 1,070 Spanish pedestrians was analyzed through Multi-Group Structural Equation Modeling (MGSEM). • Key structural differences on psychosocial predictors of risky walking were found between female and male pedestrians. • Gender-based interventions may enhance the prevention of risky behaviors, increasing walking safety and healthier outcomes. As alternative transportation is getting more and more fashionable, and more people worldwide are "shifting" to walking trips, even for their daily commuting, traffic crashes suffered by pedestrians are still a great concern for road safety and public health researchers and practitioners. In this regard, risky or "aberrant" road behaviors have emerged, during the last few years, as a key issue to be considered for crash prevention. Nevertheless, the idea of a "generic pedestrian" is getting re-evaluated, and analyzing key features, such as gender, seems to be crucial for understanding pedestrians' performance and safety outcomes. The objective of this study was to examine the effect of gender on pedestrians' both deliberate (traffic violations) and undeliberate (errors) risky walking behaviors, considering a set of theoretically based demographic and psychosocial variables as their potential predictors. For this cross-sectional study, data from 1070 Spanish pedestrians (60 % females and 40 % males, aged between 16 and 79) from the 17 regions of Spain, responding to an electronic questionnaire, were analyzed through a multi-group structural equation modeling (MGSEM) approach. Although age, handheld device-interaction, and sensation-seeking seem to have a similar effect on the errors and violations reported by both genders (similarities), factors such as risk perception, educational level and the misbehaviors observed in other road users are significant predictors only in the case of male pedestrians. On the other hand, road distractions have been shown to play a significant role in females' errors and violations, while males' road distractions seem to only affect their involuntary risky behaviors. The findings of this study support the influence of gender in the statistical explanation of both deliberate and undeliberate walking risky road behaviors, also depicting the differential role of certain demographic and psychosocial factors when we compare male and female pedestrians. [ABSTRACT FROM AUTHOR]