Screening out accident-prone Iranian drivers: Are their at-fault accidents related to driving behavior?

To provide a scientific background in road safety domain a better understanding of human risk factor is crucial. The aims of the present study were the following: (1) developing an accident prediction model for estimating the at-fault accidents of drivers (2) controlling for the regression-to-the-mean and screening out the accident-prone drivers (3) identification of significant behavioral predictors in at-fault accident occurrences and delving into the relationship between the aberrant driving behaviors and at-fault accidents of those identified as accident-prone. A questionnaire survey compiling various measures of personality type, aberrant driving behavior, demographic and accident history information of 1762 Iranian drivers was conducted in which 1375 male and 387 female participants were of the average age of 35.6 (S.D. = 11.987). To analyze the obtained data, the generalized linear modeling (GLM) approach was taken resulting in four models with various independent variables. The results indicated that age, gender, education level, years of active driving, and especially exposure had an effect on drivers’ at-fault accidents while there was no discernible effect from income level, personality type and area of residence. In the screening procedure, 715 drivers were identified as accident-prone. Behavioral comparison analyses indicated that the lapses, errors, ordinary and aggressive violations are different for the accident-prone drivers. A comparison between the accident-prone and non-accident-prone drivers revealed that the ordinary violations have considerably higher effect than the others on at-fault accidents. Implications of the results are discussed with regard to insurance policies and education interventions.     

Transcultural validation and reliability of the Spanish version of the behaviour of young novice drivers scale (BYNDS) in a Colombian young driver population

The overrepresentation of young drivers in road crashes, and the fatalities and injuries arising from those crashes, is an intractable problem around the world. A plethora of research has led to the development and application of a range of research tools, including self-report survey instruments. One such instrument, the five-factor Behaviour of Young Novice Driver Scale (BYNDS), was developed in an Australian young driver population, and has recently been validated in a New Zealand young driver population. The current study aimed to validate the BYNDS in a Colombian young driver population, the first application of the instrument in a developing country. Translation from English to Spanish, and back translation from Spanish to English, in addition to culturally-appropriate modifications (such as changing ‘right hand side’ to ‘left hand side’) resulted in a Spanish version of the BYNDS (BYNDS-Sp). The BYNDS-Sp was administered to a sample of 392 young drivers aged 16–24 years (n = 353 aged 19–24 years) with a valid driver’s licence. An exploratory factor analysis revealed a six factor structure using 40 of the original 44 BYNDS-Sp items, accounting for 58.5% of the variance in self-reported risky driving behaviour. Ninety-three percent of participants reported having ready access to their own vehicle (42% owned their own vehicle), with Colombian young drivers most likely to report driving at night and on the weekend. The majority of participants reported driving in excess of posted speed limits (e.g., only one third of participants reported never driving 10–20 km/h over the speed limit), and driving in response to their mood (e.g., only one third of participants reported they never drove faster if in a bad mood). As such, the BYNDS-Sp can reveal patterns of problematic behaviours (such as risky driving exposure), in addition to specific behaviours of concern (such as carrying passengers at night, and driving when tired), guiding the development and implementation of interventions targeting the risky driving behaviour of young drivers in Colombia. In addition, the BYNDS-Sp can be used as a measure of intervention success if used as a baseline and as a follow-up tool. Further research can investigate the utility and applicability of the BYNDS-Sp in other Spanish-speaking countries, such as Spain and Mexico.     

The effect of positive and negative emotions on young drivers: A simulator study

The study examined the influence of affect induction on actual risk-taking behavior in a driving simulator, as well as the links between personal variables (relevance of driving to self-esteem, sensation seeking) and the level of risky driving. Eighty young drivers aged 18–21 (M = 19.24, SD = 0.75) were randomly divided into four induction groups: relaxing positive affect; arousing positive affect; negative affect; and neutral affect. The participants drove on a simulator, with various parameters of risky driving measured before and after emotion priming.As predicted, arousing positive affect and negative affect led to increased risky driving, whereas relaxing positive affect moderated risk-taking. In addition, the results confirm previous findings regarding the personal variables, revealing that higher levels of relevance of driving to self-esteem and sensation seeking are associated with higher levels of risk-taking in the simulated driving.The findings indicate that the driver’s emotional state has a significant effect on risk-taking on the road. Moreover, they show that the conventional use of negative affect in safe driving campaigns is liable to heighten the tendency for risky driving rather than reduce it. In contrast, relaxing positive affect was found to lead to lower risk-taking. The study is unique in revealing a correlation between results previously obtained for the willingness to drive recklessly and actual risky driving behavior observed on a driving simulator. By expanding the understanding of the motivations for youngsters’ risky driving, the study may aid in designing effective, theoretically sound, interventions aimed at reducing the tendency for dangerous driving among young drivers.     

Minimising risks and distractions for young drivers and their passengers: An evaluation of a novel driver–passenger training program

The purpose of the present study was to evaluate a pilot program designed to teach communication skills to young drivers and passengers. Sixty-two young males recruited as 31 pairs of friends, all aged between 18 and 21 years and holding a probationary drivers licence, were randomly assigned to a training or no-training condition. A training program was developed based upon elements of existing team training programs. Driver and passenger pairs operated a driving simulator through scenarios designed to measure aspects of safe driving behaviour and hazard response. Communications between driver and passenger were also measured. All participants were administered the Driver Behaviour Questionnaire before and approximately 2 months after simulator testing. Compared to the untrained group the trained participants exhibited a larger following distance, reduced speed significantly when faced with an unexpected hazard on the road, and exhibited more safe communications. Although current passenger restrictions are warranted, the present results reveal an alternative view of adolescent passengers: rather than being a negative influence on drivers, adolescent passengers can potentially be trained to become a positive influence.     

影响驾驶安全的驾驶员注意模式研究述评

驾驶员的视觉注意模式对于汽车安全驾驶具有非常重要的意义。本文主要从驾驶员的路面视觉扫描模式和整体视觉场景的注意模式两个方面对国内外有关研究进行了概览。主要包括: (1)视觉扫描模式对驾驶安全的影响研究; (2)驾驶员视觉注意分配模型研究; (3)以及针对驾驶员视觉扫描模式的培训研究。并提出进一步研究有待于深入探讨影响驾驶员视觉注意模式的影响因素以及开展适合我国汽车驾驶特点的本土化研究。     

A model for explanation of personal attitudes toward traffic of candidate drivers attending drivers’ courses: Risky candidate driver’s attitude model

There exist a good many scientific studies into risk-taking and risky behavior displayed by reckless drivers; however, there are only a few studies into attitudes towards the traffic displayed by candidate drivers. The present study aims to investigate the dimensionality of candidate attitudes’ drivers. Data were collected from questionnaire completed by 258 candidate drivers, and were divided into two sets. The first data was used to explore the underlying factor structure and five latent factors were derived; Factor A Attitude towards drinking and driving; Factor P positive attitude toward traffic; Factor S speeding; Factor T traffic flow vs. rule obedience; and Factor R risky candidate driver’s attitude. The second data set was used to confirm this factorial structure using confirmatory factor analysis. The fit indices showed that the model fitted the data well.     

Validating an older adult driving behaviour model with structural equation modelling and confirmatory factor analysis

The Multilevel Older Persons Transportation and Road Safety (MOTRS) model postulates a role for demographic, functional, and psychosocial factors in driving self-regulation. This study formally tested the constructs of the MOTRS model, and its ability to account for variation in older adult’s driving self-regulation. Four exogenous constructs dealing with sociodemographic and driving-related variables (driving space, dependency on other drivers, health, and driving performance) and three endogenous constructs of psychosocial appraisals (driving confidence, attitudes and beliefs towards driving) were used to predict driving self-regulation. A sample of 277 Australian drivers, aged 65 years or over, completed standardised questionnaires to assess these variables. Structural equation modelling was used to evaluate one of the model’s assumptions. Findings established that sociodemographic and driving-related factors influence older adults’ driving self-regulation by impacting psychosocial variables. A re-specified model accounted for 75% of the variance in self-reported driving self-regulation. When other variables were considered, attitude towards driving was the strongest single predictor of driving self-regulation. These findings provide an initial partial validation of the MOTRS model. The results indicate that psychosocial variables are important determinants of driving self-regulation by older adults. This model could guide future research into older adults’ driving self-regulation.     

Designing road safety interventions for young drivers – The power of peer influence

Peer passengers are associated with risky driving behaviour and increased collision rate in young drivers, but the mechanism by which young drivers are influenced by their peers is not well understood. Here we report two studies that explore the effect of peer influence on young drivers. The first explored the relationship between susceptibility to peer influence and young drivers’ engagement in risky driving behaviour. 163 young drivers completed self-report measures of risky driving behaviour and susceptibility to different forms of peer influence. Results showed that young drivers who were influenced by their peers to attain social prestige and through peers intervening in their decisions committed more driving violations. The second study sought to utilise the susceptibility of young drivers to peer influence by using peers to design and deliver a safety intervention, following the ‘U in the Driver Seat’ model from the US. When compared to a traditional fear appeal and a control, the peer intervention group reported safer attitudes and intentions to drive safely at follow-up. Together these studies provide insight into how peers influence young drivers’ risky behaviour, and support the notion of using peer education tools in young driver safety interventions.     

Predicting intentions to text and call while driving using the theory of planned behaviour

There is extensive evidence that using a mobile phone while driving causes degradation in driving performance, and thereby results in reduced safety on the road. The present study examined intentions to use mobile phones while driving using the Theory of Planned Behaviour (TPB). A total of 212 Ukrainian drivers (mean age = 35 years SD = 10 years; males = 82%) completed a survey that included measures of the TPB components related to intentions to send or read text messages or to make or receive handheld phone calls across two different scenarios; one where they were running late, and the other when they were not in a hurry. Measures of the frequency of mobile phone use were also collected. The results showed that 63% of the sample reported using a mobile phone while driving at least daily, with the most frequent types of usage being making and answering a phone call with a handheld device. The most consistent predictor of intentions to interact with a mobile phone while driving was having a positive attitude towards doing so. Perceived behavioural control was also significantly and positively associated with mobile phone use while driving, but only a small number of associations were found with subjective norms. Our results suggest that intentions to interact with mobile phones while driving may be context specific.