Elderly drivers and their accidents: the Aging Driver Questionnaire

The Manchester Driver Behavior Questionnaire (DBQ) was included as part of a questionnaire survey of 1989 drivers aged 50 or over. Previous research has differentiated three main types of aberrant driver behavior: errors, lapses and violations. Each of these has different psychological origins, and different implications for road safety interventions [Reason et al., 1990. Ergonomics 33, 1315–1312]. It has also been shown that, using a full age-range sample of drivers, reported violations were statistically associated with accident involvement, whereas errors and lapses were not [Parker et al., 1995a. Ergonomics 38, 1036–1048; Parker et al., 1995b. Accident Analysis and Prevention 27, 571–581]. Although factor analysis of the DBQ responses of this sample produced five factors, the original three-way distinction was preserved. However the pattern of relationships between factor scores and accident involvement was different. Relatively high scores on the error factor and the lapse factor were predictive of involvement in an active accident, while passive accident involvement was associated with high scores on the lapse factor.     

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.     

Impact of gender, age and experience of pilots on general aviation accidents

General aviation (GA) accounts for more than 82% of all air transport-related accidents and air transport-related fatalities in the U.S. In this study, we conduct a series of statistical analyses to investigate the significance of a pilot's gender, age and experience in influencing the risk for pilot errors and fatalities in GA accidents. There is no evidence from the Chi-square tests and logistic regression models that support the likelihood of an accident caused by pilot error to be related to pilot gender. However, evidence is found that male pilots, those older than 60 years of age, and with more experience, are more likely to be involved in a fatal accident.     

Characteristics of rear-end accidents at signalized intersections using multiple logistic regression model

Multi-vehicle rear-end accidents constitute a substantial portion of the accidents occurring at signalized intersections. To examine the accident characteristics, this study utilized the 2001 Florida traffic accident data to investigate the accident propensity for different vehicle roles (striking or struck) that are involved in the accidents and identify the significant risk factors related to the traffic environment, the driver characteristics, and the vehicle types. The Quasi-induced exposure concept and the multiple logistic regression technique are used to perform this analysis. The results showed that seven road environment factors (number of lanes, divided/undivided highway, accident time, road surface condition, highway character, urban/rural, and speed limit), five factors related to striking role (vehicle type, driver age, alcohol/drug use, driver residence, and gender), and four factors related to struck role (vehicle type, driver age, driver residence, and gender) are significantly associated with the risk of rear-end accidents. Furthermore, the logistic regression technique confirmed several significant interaction effects between those risk factors.     

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).     

Validation of the driver behaviour questionnaire using behavioural data from an instrumented vehicle and high-fidelity driving simulator

Data from two previously published studies were used to examine the correlations between scores on the violation, error and lapse sub-scales of the driver behaviour questionnaire, and observed driving speed. One dataset utilised data from an instrumented vehicle, which recorded driver speed on bends on a rural road. The other utilised data from a driving simulator study. Generally in both datasets the DBQ violation subscale was associated with objectively-measured speed, while the error and lapse sub-scales were not. These findings are consistent with the idea that the DBQ is a valid measure of observed behaviour in real driving (its original intended use) and also in simulated driving. The fact that associations were the same in real and simulated driving lends further support to the relative validity of driving simulation. The need for larger and more focused studies examining the role of different motivations in different driving situations is discussed.     

Representing cognitive activities and errors in HRA trees

A graphic representation method is presented herein for adapting an existing technology—human reliability analysis (HRA) event trees, used to support event sequence logic structures and calculations—to include a representation of the underlying cognitive activity and corresponding errors associated with human performance. The analyst is presented with three potential means of representing human activity: the NUREG/CR-1278 HRA event-tree approach; the skill-, rule- and knowledge-based paradigm; and the slips, lapses, and mistakes paradigm. The above approaches for representing human activity are integrated in order to produce an enriched HRA event tree—the cognitive event tree system (COGENT)—which, in turn, can be used to increase the analyst's understanding of the basic behavioral mechanisms underlying human error and the representation of that error in probabilistic risk assessment. Issues pertaining to the implementation of COGENT are also discussed.     

Near peripheral motion contrast threshold predicts older drivers’ simulator performance

Our group has previously demonstrated that peripheral motion contrast threshold (PMCT) is significantly associated with self-reported accident risk of older drivers (questionnaire assessment), and with Useful Field of View^® subtest 2 (UFOV2). It has not been shown, however, that PMCT is significantly associated with driving performance. Using the method of descending limits (spatial two-alternative forced choice) we assessed motion contrast thresholds of 28 young participants (25–45), and 21 older drivers (63–86) for 0.4 cycle/degree drifting Gabor stimuli at 15° eccentricity and examined whether it was related to performance on a simulated on-road test and to a measure of visual attention (UFOV^® subtests 2 and 3). Peripheral motion contrast thresholds (PMCT) of younger participants were significantly lower than older participants. PMCT and UFOV2 significantly predicted driving examiners’ scores of older drivers’ simulator performance, as well as number of crashes. Within the older group, PMCT correlated significantly with UFOV2, UFOV3, and age. Within the younger group, PMCT was not significantly related to either UFOV^® scores or age. Partial correlations showed that: substantial association between PMCT and UFOV2 was not age-related (within the older driver group); PMCT and UFOV2 tapped a common visual function; and PMCT assessed a component not captured by UFOV2. PMCT is potentially a useful assessment tool for predicting accident risk of older drivers, and for informing efforts to develop effective countermeasures to remediate this functional deficit as much as possible.     

Lapses in safety in end-stage renal disease patients admitted to surgical services

Chronic dialysis patients are a vulnerable population that may be highly susceptible to medical errors, particularly when they are hospitalized. We performed a chart review of chronic hemodialysis patients admitted to surgical services at a tertiary care center in order to characterize lapses in patient safety. We conducted a retrospective chart review of admissions of patients receiving chronic hemodialysis to various surgical services at St. Michael's Hospital from January 1, 2009 to December 31, 2010. For each hospitalization, we collected data on four process of care indicators of potential safety lapses. When these lapses were identified, we sought to determine whether: (i) the lapse was detected and remedied; and (ii) the lapse resulted in an adverse event. Among the 41 patients, 96 process of care lapses were identified. Multiple lapses were detected in 83% of the cohort. Failure to order a renal diet (72%) occurred most often. There was one adverse event. Process of care lapses were detected 39% of the time, usually within 1.5 days of their occurrence. Patients receiving chronic hemodialysis admitted to surgical services experience multiple lapses in patient safety, which often remain undetected. As such, it is imperative that these patients be closely monitored in order to mitigate against potential adverse events.     

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.     

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。     

Gender and age distribution of occupational fatalities in Taiwan

This study analyzed fatal occupational injuries in Taiwan. One thousand eight hundred ninety work-related accident reports filed in the years 1996-1999 were extracted from the annual publication of the Council of Labor Affairs (CLA). These data were analyzed in terms of gender, age and work experience of the accident victim as well as accident type and the work-related source of injury to identify significant contributing factors. The CLA data showed that work-related falls were the leading cause of work-related fatalities in both male and female workers (38.2% of male victims and 39.2% of female victims). Gender differences were also noted in the accident type and age of the injured workers. Male workers had a significantly higher prevalence of fatal occupational injuries than female workers throughout the analyzed period (7.4 compared to 0.9 per 100,000 full-time workers). Young males aged 24 years or less had the highest rate of fatal occupational injuries. The finding that gender and age are major factors in occupational injuries is a significant finding in the field of occupational safety and may be helpful for developing accident prevention programs.     

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.     

Association of intersection approach speed with driver characteristics, vehicle type and traffic conditions comparing urban and suburban areas

A mobile recording system, with integrated laser speed gun, video from CCD-cameras and auxiliary battery system, was used to observe driving behavior at an urban intersection and a suburban analog. After removal of instances of interference, 1538 driving behaviors were recorded. Multiple regression was then utilized to examine the factors affecting approaching speed. Speed limit violation was considered a dichotomous variable with two categories, violation and compliance. Binary logistic regression was also used to examine the risk of speeding as a function of covariates and interaction terms. The results of analysis revealed that the major contributing factors for approaching speed were site, rush-hour-status, traffic light condition, vehicle type and driver gender. In particular, light status was the highest contributor to speed. In addition, the results of logistic regression showed significant sites and rush-hour effects on speeding, with the risk of limit violation in the suburbs nearly six-fold that in urban areas. The relative risk of speeding for travelling in non-rush hours is three times higher than that for rush-hour. In terms of driver characteristics, male drivers under 55 years of age had the greatest speeding propensity in our sample. The results of the present study may provide meaningful information applicable to the design and operation of signalized intersections.     

The effect of age, gender and driver status on pedestrians' intentions to cross the road in risky situations

The theory of planned behaviour (TPB) has been used successfully in the past to account for pedestrians' intentions to cross the road in risky situations. However, accident statistics show age and gender differences in the likelihood of adult pedestrian accidents. This study extends earlier work by examining the relative importance of the model components as predictors of intention to cross for four different adult age groups, men, women, drivers and nondrivers. The groups did not differ in the extent to which they differentiated between two situations of varying perceived risk. The model fit was good, but accounted for less of the variance in intention for the youngest group (17-24) than for other age groups. Differences between the age groups in intention to cross seemed to be due to differences in perceived value of crossing rather than differences in perceived risk. Women were less likely to intend to cross than men and perceived more risk, and there were important age, gender and driver status differences in the importance of the TPB variables as predictors of intention. A key implication of these findings is that road safety interventions need to be designed differently for different groups.     

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.     

Accidents in family forestry's firewood production

Firewood is commonly used around the world, but little is known about the work involved in its production and associated accidents. The objectives were to identify relationships between accidents and time exposure, workers’ age and sex, equipment used and work activities in family forestry's firewood production. Data from a postal survey in Northern Sweden were compared to a database of injuries in the same region. Most accidents occurred to 50–69 year old men, who also worked most hours. No significant differences in sex and age were found between expected and recorded accident frequencies when calculated from total work hours; however, when calculated using numbers of active persons significant differences were found for both age and sex. Frequency of accidents per unit worked time was higher for machine involving activities than for other activities. Accidents that occurred when using wedge splitter machines were responsible for most of this overrepresentation. Fingers were the most commonly injured body parts. Mean accident rate for the equipment used was 87 accidents per million work hours, and the rate was highest for wedge splitters (122 accidents per million work hours). Exposure to elevated risks due to violation of safety procedures is discussed, as well as possible preventative measures.     

ADHD and relative risk of accidents in road traffic: A meta-analysis

The present meta-analysis is based on 16 studies comprising 32 results. These studies provide sufficient data to estimate relative accident risks of drivers with ADHD. The overall estimate of relative risk for drivers with ADHD is 1.36 (95% CI: 1.18; 1.57) without control for exposure, 1.29 (1.12; 1.49) when correcting for publication bias, and 1.23 (1.04; 1.46) when controlling for exposure. A relative risk (RR) of 1.23 is exactly the same as found for drivers with cardiovascular diseases. The long-lasting assertion that “ADHD-drivers have an almost fourfold risk of accident compared to non-ADHD-drivers”, which originated from Barkley et al.’s study of 1993, is rebutted. That estimate was associated with comorbid Oppositional Defiant Disorder (ODD) and/or Conduct Disorder (CD), not with ADHD, but the assertion has incorrectly been maintained for two decades. The present study provides some support for the hypothesis that the relative accident risk of ADHD-drivers with comorbid ODD, CD and/or other conduct problems, is higher than that of ADHD-drivers without these comorbidities. The estimated RRs were 1.86 (1.27; 2.75) in a sample of ADHD-drivers in which a majority had comorbid ODD and/or CD compared to 1.31 (0.96; 1.81) in a sample of ADHD-drivers with no comorbidity. Given that ADHD-drivers most often seem to drive more than controls, and the fact that a majority of the present studies lack information about exposure, it seems more probable that the true RR is lower rather than higher than 1.23. Also the assertion that ADHD-drivers violate traffic laws more often than other drivers should be modified: ADHD-drivers do have more speeding violations, but no more drunk or reckless driving citations than drivers without ADHD. All accident studies included in the meta-analysis fail to acknowledge the distinction between deliberate violations and driving errors. The former are known to be associated with accidents, the latter are not. A hypothesis that ADHD-drivers speed more frequently than controls because it stimulates attention and reaction time is suggested.     

Are formally trained motorcyclists safer?

The present study was conducted to determine whether graduates of the Motorcycle Training Program (MTP) were less likely to have had an accident or committed a traffic violation while riding a motorcycle compared to informally trained (IT) motorcyclists. Since motorcyclists could not be randomly assigned to the training program, multivariate analyses were used to impose statistical control on the data. Samples of MTP graduates (N = 811) and IT motorcyclists (N = 1080) were interviewed about their riding experiences during the past four years including accidents and violations. Univariate analyses indicated that the MTP graduates were less likely than IT riders to have had accidents and violations during the criterion period. However, the graduates and IT riders differed in sex, age, time licensed, distance travelled, education and riding after drinking, all characteristics significantly related to accident and violation likelihood. Multivariate analyses, controlling for the differences in these characteristics, revealed that the MTP graduates and IT riders did not differ in accident likelihood but the MTP graduates were significantly less likely to have committed a traffic violation than the IT riders. Although the lower incidence of traffic violations among graduates could be attributed to the training program, it is possible that the graduates sought formal training because they were safety conscious and this attitude also influenced their riding behaviour.     

Risky driving behavior among university students and staff in the Sultanate of Oman

Background

There is a well developed literature on research investigating the relationship between various driving behaviors and road crash involvement. However, this research has predominantly been conducted in developed economies dominated by western types of cultural environments. To date no research has been published that has empirically investigated this relationship within the context of the emerging economies such as Oman.

Objective

The present study aims to investigate driving behavior as indexed in the driving behavior questionnaire (DBQ) among a group of Omani university students and staff.

Methods

A convenience non-probability self-selection sampling approach was utilized with Omani university students and staff.

Results

A total of 1003 Omani students (n = 632) and staff (n = 371) participated in the survey. Factor analysis of the BDQ revealed four main factors that were errors, speeding violation, lapses and aggressive violation. In the multivariate logistic backward regression analysis, the following factors were identified as significant predictors of being involved in causing at least one crash: driving experience, history of offenses and two DBQ components, i.e., errors and aggressive violation.

Conclusion

This study indicates that errors and aggressive violation of the traffic regulations as well as history of having traffic offenses are major risk factors for road traffic crashes among the sample. While previous international research has demonstrated that speeding is a primary cause of crashing, in the current context, the results indicate that an array of factors is associated with crashes. Further research using more rigorous methodology is warranted to inform the development of road safety countermeasures in Oman that improves overall Traffic Safety Culture.