Car drivers' attitudes towards motorcyclists: a survey

Motorcyclists are over-represented in UK traffic accident statistics. Many car–motorcycle accidents are however due to the inappropriate actions of car drivers. It is predicted that car drivers at risk of collision with motorcycles have divergent attitudes and beliefs about motorcyclists compared to safer drivers, which may lead to a deficient mental model guiding their interactions with motorcyclists. To assess car drivers’ attitudes towards motorcyclists, a survey was undertaken. Respondents filled in 26 general and motorcycle-related items and the 24 items of the reduced Driver Behaviour Questionnaire. Compared to an experienced dual driver group (who both drive cars and ride motorcycles), all other drivers showed divergent beliefs and attitudes. Four factors were extracted from the motorcycle items: negative attitudes, empathic attitudes, awareness of perceptual problems, and spatial understanding. Car drivers with a moderate amount of experience (between 2 and 10 years driving) held the most negative views and reported the most violations. The results have lead to several suggestions for interventions aimed at decreasing the divergence between drivers’ perceptions of motorcyclists, and the perceptions of experienced dual drivers.     

Young drivers' optimism bias for accident risk and driving skill: Accountability and insight experience manipulations

This study aimed to determine whether two brief, low cost interventions would reduce young drivers’ optimism bias for their driving skills and accident risk perceptions. This tendency for such drivers to perceive themselves as more skilful and less prone to driving accidents than their peers may lead to less engagement in precautionary driving behaviours and a greater engagement in more dangerous driving behaviour. 243 young drivers (aged 17–25 years) were randomly allocated to one of three groups: accountability, insight or control. All participants provided both overall and specific situation ratings of their driving skills and accident risk relative to a typical young driver. Prior to completing the questionnaire, those in the accountability condition were first advised that their driving skills and accident risk would be later assessed via a driving simulator. Those in the insight condition first underwent a difficult computer-based hazard perception task designed to provide participants with insight into their potential limitations when responding to hazards in difficult and unpredictable driving situations. Participants in the control condition completed only the questionnaire. Results showed that the accountability manipulation was effective in reducing optimism bias in terms of participants’ comparative ratings of their accident risk in specific situations, though only for less experienced drivers. In contrast, among more experienced males, participants in the insight condition showed greater optimism bias for overall accident risk than their counterparts in the accountability or control groups. There were no effects of the manipulations on drivers’ skills ratings. The differential effects of the two types of manipulations on optimism bias relating to one's accident risk in different subgroups of the young driver sample highlight the importance of targeting interventions for different levels of experience. Accountability interventions may be beneficial for less experienced young drivers but the results suggest exercising caution with the use of insight type interventions, particularly hazard perception style tasks, for more experienced young drivers typically still in the provisional stage of graduated licensing systems.     

Driving experience moderates the effect of implicit versus explicit threat priming on hazard perception test

Due to the controversial evidence regarding the efficacy of threat campaigns on driving behavior, we addressed the effects of explicit vs. implicit threats. As in other areas of advertisements, we hypothesized that an implicit threat would be more effective, i.e., generate more anxiety than an explicit threat. Furthermore, we hypothesized that such effects would be moderated by driving experience: more experienced drivers when threatened will rely on driving skills and perform in a less cautious manner vs. less experienced drivers who have not yet acquired these skills, and therefore will tend to calm their fear by exercising more caution. Driving behavior in this experimental design was addressed by the Hazard Perception (HP) task. Results were as expected. Anxiety was higher under implicit vs. explicit threat. HP scores however were overall the same for both groups. Implicit priming generated less-cautious behavior in high-experienced drivers while generating more caution for less-experienced drivers. Demonstrating in a single experiment all three driving patterns following threat, namely, no change in driving behavior (whole sample), more cautious driving behavior (less-experience) and less cautious behavior (more-experience), potentially comprises an important step in resolving the aforementioned disparity concerning effects of threat campaigns on driving behavior.     

Driver's exposure to distractions in their natural driving environment

Unobtrusive video camera units were installed in the vehicles of 70 volunteer drivers over 1-week time periods to study drivers’ exposure to distractions. The video data were coded based on a detailed taxonomy of driver distractions along with important contextual variables and driving performance measures. Results show distractions to be a common component of everyday driving. In terms of overall event durations, the most common distractions were eating and drinking (including preparations to eat or drink), distractions inside the vehicle (reaching or looking for an object, manipulating vehicle controls, etc.), and distractions outside the vehicle (often unidentified). Distractions were frequently associated with decreased driving performance, as measured by higher levels of no hands on the steering wheel, eyes directed inside rather than outside the vehicle, and lane wanderings or encroachments. Naturalistic driving studies can provide a useful supplement to more controlled laboratory and field studies to further our understanding of the effects of all types of distractions on driving safety.     

外显自尊对大学生就业焦虑的影响:有调节的中介模型

目的探讨外显自尊、内隐自尊、自我概念清晰性和就业焦虑的关系。方法选取503名大学生(男243人,女260人),运用外显自尊量表(SES)、内隐联系测验(IAT)、自我概念清晰性量表(SCCS)和就业焦虑问卷进行测查。结果外显自尊与自我概念清晰性得分呈显著正相关,与就业焦虑得分呈显著负相关(r=0.55,-0.54;均P<0.01);内隐自尊得分与自我概念清晰性得分呈显著正相关,与就业焦虑呈显著负相关(r=0.22,-0.27;均P<0.01);自我概念清晰性得分与就业焦虑呈显著负相关(r=-0.95,P<0.01)。自我概念清晰性在外显自尊和就业焦虑之间起部分中介作用。外显自尊得分显著正向预测自我概念清晰性得分(β=1.16,P<0.01),自我概念清晰性得分负向预测就业焦虑得分(β=-0.74,P<0.01),而外显自尊得分又直接显著负向预测就业焦虑得分(β=-0.22,P<0.01)。内隐自尊调节了中介作用的前半路径和直接路径。结论外显自尊和就业焦虑受到自我概念清晰性的中介作用和内隐自尊的调节作用。     

An implicit non-self-report measure of attitudes to speeding: development and validation

Speeding is a major contributor to road trauma and attitudes toward speeding are hypothesised to be a key determinant of the behaviour. Attitudinal research is limited by reliance on self-report measures and the attendant possibility of reporting biases. The Implicit Association Test (IAT) aims to measure attitudes without reliance on self-report, by assessing the association between a target-concept and an evaluation, in terms of reaction time for compatible versus non-compatible pairings. The present research aimed to develop and evaluate an IAT to measure attitudes to speeding. Forty-five licensed drivers completed the speed-related IAT, and drove a driving simulator. Participants also completed a questionnaire that assessed self-reported attitudes to speeding, and several variables theoretically related to attitudes, including speeding behaviour. Observed IAT results suggested that attitudes toward speeding are negative, and were generally consistent with results derived from the simulated driving and self-reported behaviours, beliefs, and attitudes. Thus, the speed-related IAT appears to be a valid measure of attitudes toward speeding, which might be used to measure attitudes in road safety research without reliance on self-report.     

The optimism bias and traffic accident risk perception

Research suggests that people are excessively and unrealistically optimistic when judging their driving competency and accident risk. In this study, college-age drivers compared their risk of being involved in a variety of described traffic accidents relative to their peers. They also rated each of the accidents along a number of dimensions hypothesized as being related to optimism. In addition, subjects provided global estimates of their driving safety, skill, and accident likelihood. Significant optimism was evident for both the accidents and the global ratings. Optimism increased with driving experience and marginally with age. Those with more driving experience considered human factors to be more important in accident causation; those assigning more importance to human factors also rated themselves as more skillful drivers. For the specific accidents, perceived controllability was a strong predictor of optimism. The findings for controllability are interpreted in terms of other recent data and hypothesized explanations of the optimism bias. In general, it appears that optimism arises because people persistently overestimate the degree of control that they have over events.     

Car driver attitudes,perceptions of social norms and aggressive driving behaviour towards cyclists

The interaction of car drivers and cyclists is one of the main causes of cycle incidents. The role of attitudes and social norms in shaping car drivers’ aggressive behaviour towards cyclists, is not well understood and merits investigation. A sample of 276 drivers completed an online questionnaire concerning their attitudes towards cyclists, attitudes towards risky driving, perception of social norms concerning aggressive driving towards cyclists, and the frequency with which they engage in such aggressive driving behaviours. The results showed that attitudes towards cyclists, as well as social norm perceptions concerning aggressive driving towards cyclists, were associated with aggressive driving towards cyclists. Negative attitudes towards cyclists were more pronounced in non-cyclists than cyclists and their association with aggressive driving behaviour was stronger in cyclists than non-cyclists. The perception of social norms concerning aggressive driving towards cyclists had a stronger association with aggressive driving in non-cyclists than cyclists. Attitudes towards risk taking did not affect aggressive driving towards cyclists. These findings can inform campaigns that aim to improve cyclist and car driver interaction on the roads, making them safer to use for cyclists.     

Implicit attitudes and road safety behaviors. The helmet-use case

We studied the role of implicit attitudes on road safety behaviors. We also explored the methodological benefits of using implicit measures to complement conventional self-reporting instruments. The results suggest that: (a) implicit attitudes are capable of predicting observed differences in the use of protective devices (helmet use); (b) implicit attitudes correlate with the emotional component of the explicit attitudes (e.g., perception of comfort–discomfort), but appear to be independent of the more cognitive components (e.g., perceived benefits); (c) the emotional component of the explicit attitudes appears to be the major predictor of behavior; and (d) implicit measures seem to be more robust against social desirability biases, while explicit measure are more sensitive to such bias. We conclude that indirect and automatic measures serve as an important complement to conventional direct measures (self-reports) because they provide information on psychological processes that are qualitatively different (implicit) and can also be more robust when it comes to response bias.     

Even highly experienced drivers benefit from a brief hazard perception training intervention

We examined the proposal that hazard perception ability is suboptimal even in highly experienced mid-age drivers. First, we replicated previous findings in which police drivers significantly outperformed highly experienced drivers on a validated video-based hazard perception test, indicating that the ability of the experienced participants had not reached ceiling despite decades of driving. Second, we found that the highly experienced drivers’ hazard perception test performance could be improved with a mere 20 min of video-based training, and this improvement remained evident after a delay of at least a week. One possible explanation as to why hazard perception skill may be suboptimal even in experienced drivers is a dearth of self-insight, potentially resulting in a lack of motivation to improve this ability. Consistent with this proposal, we found no significant relationships between self-ratings and objective measures of hazard perception ability in this group. We also found significant self-enhancement biases in the self-ratings and that participants who received training did not rate their performance (either in real driving or in the test) as having improved, contrary to what was indicated by their objective performance data.     

Cognitive load and detection thresholds in car following situations: safety implications for using mobile (cellular) telephones while driving

This study was aimed at investigating drivers’ ability to detect a car ahead decelerating, while doing mobile phone related tasks. Nineteen participants aged between 20 and 29 years, (2000–125 000 km driving experience) drove at 80 km/h, 50 m behind a lead car, on a 30 km section of motorway in normal traffic. During each trial the lead car started to decelerate at an average of 0.47 m/s² while the participant either looked at the car in front (control), continuously dialed series of three random integers on a numeric keypad (divided visual attention), or performed a memory and addition task (non-visual attention). The results indicated that drivers’ detection ability was impaired by about 0.5 s in terms of brake reaction time and almost 1 s in terms of time-to-collision, when they were doing the non-visual task whilst driving. This impairment was similar to when the drivers were dividing their visual attention between the road ahead and dialing numbers on the keypad. It was concluded that neither a hands-free option nor a voice controlled interface removes the safety problems associated with the use of mobile phones in a car.     

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.     

Age differences in male drivers' perception of accident risk: the role of perceived driving ability

Young (18-25) and older (35-50) male drivers were compared in their perception of driving risk and confidence in driving ability. Both groups provided responses a questionnaire on accident risk and driving ability and further generated subjective ratings of risk to a series of videotaped sequences depicting various elements of driving behavior. Although young drivers' estimates of accident involvement in the next year were higher than those of older drivers, young drivers gave lower ratings of accident risk for specific driving situations which demanded fast driving reflexes or substantial vehicle-handling skills. Young drivers rated their own risk of an accident and driving abilities as being the same as for older drivers. However, they saw their peers as being significantly higher at risk and having poorer abilities than themselves. Young drivers were more confident in their driving abilities than the older drivers. Evidence is provided to suggest that perceived risk and self-perceived driving abilities are interrelated. Further, the data from young drivers showed two disturbing characteristics: first, a notable dissociation between perceived and actual ability and, second, a tendency to view themselves as immune from the effects of higher levels of risk, which they are prepared to ascribe to their peers but not to themselves.     

Optimal use of warning signs in traffic

The aim of the paper is to develop a model of drivers’ behaviour particularly designed to analyse the safety and total driving cost implications of warning sign installations. One special feature of the model is that it makes a clear distinction between drivers’ perceived risk values at certain speeds and their respective objective values. When focusing on a certain stretch of road only, the paper concludes that warning signs will increase safety and probably reduce total objective driving costs; that is the sum of time costs and objective expected accident costs. Since drivers’ speed will reduce implying higher time costs per distance, the reduction in total objective driving costs will be lower than the reductions in accident costs. The analysis is then extended to comprise the whole road system and using warning signs prior to curves as an example. Besides the driving conditions in different curves, the analysis shows that the optimal number of signs is dependent on the road authorities’ objectives for road traffic and on how drivers form their risk perceptions. Generally speaking, simulations indicate that the safety and economic benefits of warning sign installation are not very high. When considering the whole road system, warning signs seem, however, to have a greater positive impact on total driving costs than on accident costs.     

Comparative perceptions of driver ability--a confirmation and expansion

This study aimed to investigate earlier Swedish and United States research which has shown that drivers tend to rate themselves as more skillful and less risky than the average driver, and to extend the range of driver characteristics on which such ratings are made. A total of 178 male and female drivers rated "me as a driver," "an average driver" and "a very good driver" on the following eight relevant bipolar semantic differential scales: foolish-wise, unpredictable-predictable, unreliable-reliable, inconsiderate-considerate, dangerous-safe, tense-relaxed, worthless-valuable, irresponsible-responsible. The results confirmed expectations that a substantial majority of drivers, up to 80%, would rate themselves above average on a number of important characteristics, but also showed that they rated themselves below "a very good driver." The ratings did not vary significantly across demographic categories. Implications for road safety are briefly discussed.     

Older drivers’ insight into their hazard perception ability

Even though the driving ability of older adults may decline with age, there is evidence that some individuals attempt to compensate for these declines using strategies such as restricting their driving exposure. Such compensatory mechanisms rely on drivers’ ability to evaluate their own driving performance. This paper focuses on one key aspect of driver ability that is associated with crash risk and has been found to decline with age: hazard perception. Three hundred and seven drivers, aged 65–96, completed a validated video-based hazard perception test. There was no significant relationship between hazard perception test response latencies and drivers’ ratings of their hazard perception test performance, suggesting that their ability to assess their own test performance was poor. Also, age-related declines in hazard perception latency were not reflected in drivers’ self-ratings. Nonetheless, ratings of test performance were associated with self-reported regulation of driving, as was self-rated driving ability. These findings are consistent with the proposal that, whileself-assessments of driving ability may be used by drivers to determine the degree to which they restrict their driving, the problem is that drivershave little insight into their own driving ability. This may impact on the potential road safety benefits of self-restriction of driving because drivers may not have the information needed to optimally self-restrict. Strategies for addressing this problem are discussed.     

Re-conceptualising the reckless driving behaviour of young drivers

Reckless driving is a major contributing factor to road morbidity and mortality. While further research into the nature and impact of reckless driving, particularly among young people, is urgently needed, the measurement of reckless driving behaviour also requires increased attention. Three major shortcomings apparent in established measures of driver behaviour are that they do not target the full range of reckless driving behaviours, they measure characteristics other than driving behaviours, and/or they fail to categorise and label reckless driver behaviour based on characteristics of the behaviours themselves. To combat these shortcomings, this paper reports the development and preliminary validation of a new measure of reckless driving behaviour for young drivers. Exploratory factor analysis of self-reported driving data revealed four, conceptually distinct categories of reckless driving behaviour: those that increase crash-risk due to (a) distractions or deficits in perception, attention or reaction time (labelled “distracted”), (b) driving under the influence of drugs or alcohol (labelled “substance-use”), (c) placing the vehicle in an unsafe environment beyond its design expectations (labelled “extreme”), and (d) speed and positioning of the vehicle relative to other vehicles and objects (labelled “positioning”). Confirmatory factor analysis of data collected from a separate, community sample confirmed this four-factor structure. Multiple regression analyses found differences in the demographic and psychological variables related to these four factors, suggesting that interventions in one reckless driving domain may not be helpful in others.     

Driving performance during concurrent cell-phone use: are drivers aware of their performance decrements?

Prior research has documented the manner in which a variety of driving performance measures are impacted by concurrent cell-phone use as well as the influence of age and gender of the driver. This current study examined the extent to which different driver groups are aware of their associated performance decrements. Subjects' confidence in dealing with distractors while driving and their ratings of task performance and demand were compared with their actual driving performance in the presence of a cell-phone task. While high confidence ratings appeared to be predictive of better driving performance for male drivers (as confidence increased, the size of the distraction effects decreased), this relationship did not hold for females; in fact, for older females, as confidence increased, performance decreased. Additionally, when drivers were matched in terms of confidence level, brake responses of older females were slowed to a much greater extent (0.38 s) than were brake responses of any other group (0.10s for younger males and females and 0.07 s for older males). Finally, females also rated the driving task as less demanding than males, even though their performance was more greatly affected by distraction. These results suggest that many drivers may not be aware of their decreased performance while using cell-phones and that it may be particularly important to target educational campaigns on driver distraction towards female drivers for whom there tended to be a greater discrepancy between driver perceptions and actual performance.     

The influence of anger,impulsivity, sensation seeking and driver attitudes on risky driving behaviour among post-graduate university students in Durban,South Africa

Introduction

Road traffic accidents (RTAs) constitute a serious global health risk, and evidence suggests that young drivers are significantly overrepresented among those injured or killed in RTAs. This study explores the role of anger, impulsivity, sensation seeking and driver attitudes as correlates for risky driving practices among drivers, drawing comparisons between age and gender.

Method

The study used a cross-sectional survey design, with a sample of 306 post-graduate university students from two universities in Durban, South Africa, who completed the self-administered questionnaire.

Results

The results indicate that drivers with higher driver anger, sensation seeking, urgency, and with a lack of premeditation and perseverance in daily activities were statistically more likely to report riskier driving acts. Males reported significantly more acts of risky driving behaviour (RDB) than females. Driver attitudes significantly predicted self-reported acts of RDB on most indicators. Older drivers (25 years and older) had safer driver attitudes and a lower sense of sensation seeking and urgency in life.

Conclusion

Interventions targeting young drivers, which focus on impeding the manifestation of anger, impulsivity and sensation seeking are recommended. Also, the empirical support for the attitude–behaviour hypothesis evidenced in this study vindicates the development or continuation of interventions that focus on this dynamic.     

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.