Field operational test of a seatbelt reminder system: Effects on driver behaviour and acceptance

The long-term effects on driver behaviour and acceptance of a seatbelt reminder system were examined in an on-road study. The system was capable of detecting seatbelt use in all seating positions and produced a two-stage visual and auditory warning if occupants were unrestrained. The effects of this system were evaluated alone and in combination with two other intelligent transport systems: intelligent speed adaptation and a following distance warning system. Twenty-three fleet car drivers drove an instrumented vehicle (SafeCar) for at least 16,500 km as part of their everyday driving. The results revealed that driver and passenger interaction with the seatbelt reminder system led to large and significant decreases in the percentage of trips where occupants were unbelted, in the percentage of total driving time spent unbelted, and in the time taken to fasten a seatbelt in response to system warnings. The seatbelt reminder system was rated by drivers as being useful, effective and socially acceptable, and led to a decrease in drivers’ subjective workload. These results were found even though the baseline pre-exposure seatbelt wearing compliance rates among participants were high.     

How to define the accident risk level of car drivers by combining objective and subjective measures of driving style

Perceived risk can be defined as the expectation of being involved in a traffic accident. Traffic risk perception is often subjectively evaluated being risk perception as highly individual, and depending on experiences with accidents. For this reason, a subjective measure of risk level can be useful. On the other hand, accident risk level can be measured also through objective measures, consisting in kinematic parameters defining the driving style. At this aim, it is very important to analyse instantaneous and geo-referenced travelling kinematic parameters of the vehicle recorded by real tests on the road.The aim of this paper is to identify the accident risk level of each driver based on a methodology combining both subjective and objective parameters. Specifically, by using the proposed methodology the risk can be measured immediately by using only the kinematic parameters adopted when driving; we defined three levels of risk of being involved in a road accident (low, medium, and high risk). We retain that our research can give a contribution in terms of improvement of road safety, because the distorted perception of risk level is one of the main causes of road accidents. Very often, drivers are not aware of the risk taking; therefore, it is necessary to raise the awareness of drivers to have safer driving. The proposed method can be useful for informing the driver on the level of risk he/she assumes, so that he/she can take the necessary precautions next time that will cover that stretch of road.     

The development and validation of a hazard perception test for Thai drivers

Thailand is a developing country with a high traffic accident fatality rate. However, few attempts have been made to understand crash risks in Thai drivers from a psychological perspective. The purpose of the present study was to develop and validate a latency-based hazard perception test for Thai drivers. The initial test comprised our full item pool of 77 clips containing traffic conflicts captured on video from the driver’s perspective on Thai roads. We evaluated the validity of this test by examining whether performance differed as a function of driving experience in a sample of 135 Thai drivers. We found that experienced drivers (n = 87) performed significantly better than novice drivers (n = 48) after adjusting for individual differences in computer mouse skill, mirroring crash risk differences between these groups. The final 30-item version of the test, which comprised the best items from the initial test, yielded novice/experienced driver differences with or without adjusting for computer mouse skill. These results offer preliminary support for the validity of the latency-based test as a measure of hazard perception ability in Thai drivers.     

“They would call me,and I would need to know because it is like life and death”: A qualitative examination of the acceptability of smartphone applications designed to reduce mobile phone use while driving

Distracted driving is one of the most prevalent risky behaviours worldwide. Research has highlighted that current approaches to distracted driving based on education and police enforcement have shown low effectiveness. Smartphone applications to reduce distracted driving are an emerging technology with the potential to prevent road crashes. However, recent evidence has shown that the adoption of these applications has been limited. A qualitative study was carried out to investigate the acceptability of smartphone applications that are designed to prevent distracted driving. A total of 35 drivers (57% females) aged 19–44 years (Mean = 28.43) participated in interviews which explored acceptability constructs for in-vehicle intelligent technology as defined by Regan et al. (2012): usefulness, usability, effectiveness, social acceptability, affordability, and willingness to use the application functions. Generally, drivers perceived that these applications have the potential to increase safety and reduce voluntary and involuntary mobile phone interactions while driving. Nonetheless, it was also found that drivers want to retain some of the functionalities of their mobile phone, such as music playing applications, accessing GPS/maps and being able to interact with certain groups of people through their phones while driving. Finally, barriers to the uptake of the applications among drivers who use their mobile phone while driving are discussed. A frequent barrier that needs to be overcome is the perceived need and pressure to respond to their phone while driving to communicate for work purposes or with people with strong social ties to the driver, for example, a parent or spouse.     

Assessing the factor structure of the Behaviour of Young Novice Drivers Scale (BYNDS)

The Behaviour of Young Novice Drivers Scale (BYNDS) is a self-report instrument to assess risky driving behaviours among youth population. Although previous studies have offered evidences of reliability and validity for the BYNDS scores, results are not conclusive as regards its factor structure. The aim of this research was to assess the factor structure of the BYNDS via Confirmatory Factor Analyses (CFA). The BYNDS was administered to a sample of 832 drivers aged from 18 to 25 years (Argentina = 270, Colombia = 350, and Mexico = 212). Six models were examined: three derived from previous literature, one emerged from an exploratory factor analysis, a unidimensional model, and a bifactor model. Results showed that none of the models analysed offered a completely acceptable fit to the data. However, the original model hypothesizing five orthogonal factors showed the best fit indices, with all of the items loading onto the associated factor. Results of the bifactor analysis suggested that three of the subscales (transient violations, fixed violations, and misjudgements) share a strong common basis and their scores would not offer much information above and beyond the total score. On the contrary, the items in the subscale of risk-exposure are clearly influenced by a specific domain factor, contributing to the multidimensionality of the BYNDS. In line with previous studies, males scored higher than females in driving violations, fixed violations, and risk-exposure. This study contributes to the psychometric refinement of a novel measure of risky driving in youth population. This self-report could be a valuable tool in the evaluation of road safety performance.     

Can infrastructure improvements mitigate unsafe traffic safety culture: A driving simulator study exploring cross cultural differences

This paper presents the results of a cross-cultural study to investigate the influence of traffic safety culture and infrastructure improvements on driver behaviour. To achieve this, the driving style of UK drivers was compared with that of Nigerians with and without experience of driving in the UK. A driving simulator experiment compared the actual driving style of these three groups of drivers in different safety critical scenarios. The simulated road environment varied depending on how much infrastructure was provided (low or high infrastructure). In addition, the Driver Behaviour Questionnaire was used to collect self-reported data on violations, errors and lapses. It was hypothesised that Nigerian drivers with no experience of driving in a UK road system would report and engage in more unsafe driving behaviour compared to the other two groups, and that increasing infrastructure would have little positive benefit. Overall, the results supported these hypotheses, indicating that the behaviours of drivers are interpretable in relation to their traffic safety culture, compared to changes in their driving environment.     

Pedestrian distraction from Smartphones: An end-user perspective on current and future countermeasures

Pedestrian distraction from smartphone use is a concern from a road safety perspective. This research examined the effectiveness of current and future potential countermeasures from an end-user perspective by means of interviews and a focus group with smartphone users. Four broad countermeasure categories were identified from a countermeasures review: behavioural; legislation/regulation; infrastructure initiatives and technology advances. Overall it was found that no single countermeasure category was perceived by end-users to be fully effective in removing the road safety risk of smartphone use by pedestrians, but rather an integrated approach that combines elements such as pedestrian infrastructure separation, publicity, legislation and a shared responsibility for safety amongst all road users, was deemed to be the most promising solution. Future work in this area, particularly focusing on countermeasure prioritisation and subsequent deployment, is then outlined.     

Visual exploration and hazard search strategies in a simulated road crossing task among primary and secondary school students in Tanzania

Pedestrians, cyclists, motorcyclists, and other vulnerable road users represent more than half of all road fatalities globally. In Tanzania, pedestrians account for a significant proportion of the death toll, accounting for 30% of all traffic fatalities (WHO, 2018) and a 2016 study conducted in Dar Es Salaam found that 87% of school-aged children walk to school (Draisin, 2016), highlighting that school-aged children are exposed to a high level of risk.The present work reports the results of a study conducted in primary and secondary schools in the Arusha Region of Tanzania which investigates the students’ road crossing mental representation, as well as their level of hazard perception awareness, through their declared gaze behaviour. The students were asked to identify and tell the areas where hazards could come from within three road crossing scenarios, thus exploring the mental representation of the visual exploration strategies applied by children and teenagers when crossing the road. Results showed the tendency to apply the “compliant gaze behaviour” pattern in a flexible manner and to integrate it with the exploration of other areas in the visual field, particularly by the senior students. Practical implications for planning effective pedestrian road safety training programs are discussed.     

Self-reported pedestrian behaviour in Australia

Internationally, there have been a number of self-reported questionnaires developed to classify pedestrians’ engagement in aberrant behaviours while walking. However, there is yet to be consensus regarding the most appropriate factor structure for these models. Furthermore, to our knowledge, a pedestrian behaviour questionnaire (PBQ) has not been validated to investigate Australian pedestrians. As such, the aim of this research was to build on the previous international instances of pedestrian behaviour questionnaires and validate a questionnaire for a cohort of Australians. Nine hundred and sixty eight participants (80.8% female) completed an online survey which included 128 items describing pedestrian behaviour, identified in international versions of PBQs. A split half analysis was conducted to determine the most appropriate configuration of the scale. Exploratory Factor Analysis conducted on half of the sample identified a 32-item four factor model of pedestrian behaviour. These factors broadly described unintentional errors, deliberate violations, aggression and engagement with technology. Confirmatory Factor Analysis on the remaining sample confirmed the proposed factor structure.Across the four factors, pedestrians reported low mean scores for all items; indicating that errors, violations, technology engagement and aggression were rarely exhibited behaviours. The highest mean scores were for engagement with technology. While the least common pedestrian behaviours were errors while walking. Male participants were found to self-report higher rates of all behaviours, while age was negatively associated with violations, errors and technology engagement. Overall, the research presents a validated measure of aberrant pedestrian behaviour in Australia.