Do people gamble with their lives : The relationship between risky driving behaviour and other risky behaviours

General risky behaviour is explored for correlation with risky driving behaviour in light of two theories, self-control and cross-situational consistency. Identification of general risky behaviours associated with risky driving behaviour, and the theory that best predicts the behaviours, will enable better targeting of intervention and education strategies to reduce driving related fatalities and injuries. A correlational study using participants (N=152) drawn from first year university undergraduates and the public surveyed their lifestyle and behaviours. Relationships were found between risky driving behaviours and other risky behaviours such as alcohol consumption, cannabis use and performing unlawful activities. No significant differences were found between genders, with the exception that males were more likely to believe that they were at risk of injury from their employment, χ2 (1, N = 152) = 4.49, p = .03, were more likely to have performed an unlawful offence, χ2 (1, N = 152) = 11.77, p = .001 and were more likely to drink drive, t (55.41) = -3.87, p < .001, mean difference = -0.63, CI 95% (-0.9, -0.37). People engaged in risky driving behaviours were more likely to engage in other risky behaviours. The theories that were explored were unable to accurately predict an association between general risky behaviour and driving without a license or when disqualified. Cross-situational consistency explained 20% (R2adj = .16) of the variance in which people engaged in risky driving with low self-control theory explaining an additional 0.3% variance (R2change = .003), F (8,143) = 6.92, p < .001. Driving while under the influence of alcohol could be predicted by risky behaviours in lifestyle, health, smoking, cannabis use and alcohol consumption, F (8,143) = 6.92, p < .001. The addition of self-control was not significant.

Visual motion perception predicts driving hazard perception ability

PURPOSE: To examine the basis of previous findings of an association between indices of driving safety and visual motion sensitivity and to examine whether this association could be explained by low-level changes in visual function. METHODS: 36 visually normal participants (aged 19 – 80 years), completed a battery of standard vision tests including visual acuity, contrast sensitivity and automated visual fields. and two tests of motion perception including sensitivity for movement of a drifting Gabor stimulus, and sensitivity for displacement in a random-dot kinematogram (Dmin). Participants also completed a hazard perception test (HPT) which measured participants’ response times to hazards embedded in video recordings of real world driving which has been shown to be linked to crash risk. RESULTS: Dmin for the random-dot stimulus ranged from -0.88 to -0.12 log minutes of arc, and the minimum drift rate for the Gabor stimulus ranged from 0.01 to 0.35 cycles per second. Both measures of motion sensitivity significantly predicted response times on the HPT. In addition, while the relationship involving the HPT and motion sensitivity for the random-dot kinematogram was partially explained by the other visual function measures, the relationship with sensitivity for detection of the drifting Gabor stimulus remained significant even after controlling for these variables. CONCLUSION: These findings suggest that motion perception plays an important role in the visual perception of driving-relevant hazards independent of other areas of visual function and should be further explored as a predictive test of driving safety. Future research should explore the causes of reduced motion perception in order to develop better interventions to improve road safety.

How do perceptions of risk associated with driving while fatigued and perceptions of effectiveness of countermeasures effect willingness to engage in fatigue reducing countermeasures?

Sleep-related and fatigue-related driving is an important contributory factor in fatal and serious injury crashes - Accounts for approx 19% - Similar in magnitude to drink driving

Impaired driving countermeasures : an Australian perspective

The prevalence of impaired driving in Australia  Regulatory approaches used to manage: – Alcohol impaired driving – Other drug impaired driving  Key countermeasures – Lower blood alcohol limits – Random breath testing (RBT) – Random drug testing (RDT)  Ongoing challenges and future directions

An overview of CARRS-Q’s advanced driving simulator

The global road safety problem The role of human factors in road crashes The use of driving simulators in road safety research The CARRS-Q advanced driving simulator –Functionality –Problems encountered and related solutions Past and current projects using the driving simulator Limitations of driving simulators

Executive function development and stress effects on driving performance : preliminary findings from a young adult sample.

This chapter presents a pilot study examining the interactive contributions of executive function development/impairment and psychosocial stress to young adults’ (17-30 years old) driving behaviour in a simulator city scenario.

Protective factors associated with young passenger intervening in risky driving situations

While the negative influence of passengers on driving is usually studied, young passengers may protect against young drivers’ crash involvement by speaking out and trying to stop unsafe driving behavior. This study sought to examine psychosocial constructs of young passengers who are likely to intervene in their friends’ risky driving. Method: University students aged 17 to 25 years who were single (n = 123) or in a romantic relationship (n = 130) completed an online survey measuring protective factors. Results: The combination of individual, friend and (for participants in a relationship) romantic partner protective factors predicted self-reported passenger intervening intentions. Impact on Industry: Since peer passengers often increase young drivers’ crash risk, research on passenger intervening has significant implications for road safety strategies. The findings provide support for the operationalization of protective factors in strategies that target passenger intervening behavior.

A psychosocial model of young adult passengers’ intervening in unsafe driving of their friends

Young adults are over-represented in motor vehicle crashes and the carrying of same passengers puts them at greater risk of crashing. The current study examined characteristics of the passengers who might play a positive role in reducing friends’ crashes by actively engaging in strategies to protect such friends. A psychosocial theoretical model of prosocial behavior including self-process and contextual cues explained intervening behavior among primarily novice driver college students (n=242) with the exception of the self-process, perspective taking. The results of this study provide support for countermeasure development that accounts for the positive role of peers to increase road safety, and reduce the incidence of crashes, among young adults.

Nurses’ willingness to report medication administration errors in Saudi Arabia

Reporting of medication administration errors (MAEs) is one means by which health care facilities monitor their practice in an attempt to maintain the safest patient environment. This study examined the likelihood of registered nurses (RNs) reporting MAEs when working in Saudi Arabia. It also attempted to identify potential barriers in the reporting of MAE. This study found that 63% of RNs raised concerns about reporting of MAEs in Saudi Arabia—nursing administration was the largest impediment affecting nurses' willingness to report MAEs. Changing attitude to a non-blame system and implementation of anonymous reporting systems may encourage a greater reporting of MAEs.

Airborne collision scenario flight tests : impact of angle measurement errors on reactive vision-based avoidance control

The future emergence of many types of airborne vehicles and unpiloted aircraft in the national airspace means collision avoidance is of primary concern in an uncooperative airspace environment. The ability to replicate a pilot’s see and avoid capability using cameras coupled with vision based avoidance control is an important part of an overall collision avoidance strategy. But unfortunately without range collision avoidance has no direct way to guarantee a level of safety. Collision scenario flight tests with two aircraft and a monocular camera threat detection and tracking system were used to study the accuracy of image-derived angle measurements. The effect of image-derived angle errors on reactive vision-based avoidance performance was then studied by simulation. The results show that whilst large angle measurement errors can significantly affect minimum ranging characteristics across a variety of initial conditions and closing speeds, the minimum range is always bounded and a collision never occurs.