Introducing human factors in pedestrian crossing behaviour models

The objective of this research is the development of pedestrian crossing choice models on the basis of road, traffic and human factors. For that purpose, a field survey was carried out, in which a panel of 75 pedestrians were asked to take 8 short walking trips (each one corresponding to a different walking and crossing scenario) in the Athens city centre in Greece, allowing to record their crossing behaviour in different road and traffic conditions. The same individuals were asked to fill in a questionnaire on their travel motivations, their mobility characteristics, their risk perceptions and preferences with respect to walking and road crossing, their opinion on drivers, etc. The walking and crossing scenarios’ data were used to develop mixed sequential logit models of pedestrian behaviour on the basis of road and traffic characteristics. The modelling results showed that pedestrian crossing choices are significantly affected by road type, traffic flow and traffic control. The questionnaire data were used to estimate human factors (components) of pedestrian crossing behaviour by means of principal component analysis. The results showed that three components of pedestrian crossing behaviour emerge, namely a “risk-taking and optimisation” component reflecting the tendency to cross at mid-block in order to save time, etc., a “conservative” component, concerning individuals with increased perceived risk of mid-block crossing, who also appear to be frequent public transport users, and a “pedestrian for pleasure” component, bringing together frequent pedestrians, walking for health or pleasure, etc. The introduction of these components as explanatory variables into the choice models resulted in improvement of the modelling results, indicating that human factors have additional explanatory power over road and traffic factors of pedestrian behaviour. Therefore, the development of integrated choice and latent variables models appears to be an appropriate field for further research.     

Attitudes,risk perception and risk-taking behaviour among regular cyclists in Norway

The main aim of the study was to investigate whether attitudes toward traffic safety, risk perception, worry, risk tolerance, safety priority, and accident involvement are associated with cyclists’ risk-taking behaviour. Two types of cyclists’ risk-taking behaviour were studied: (1) ‘violation of traffic rules, and (2) ‘conflicts with other road users when cycling’. The study was based on a questionnaire survey carried out in 2017 among regular cyclists in Norway (n = 426). The results revealed that cyclists’ risk-taking behaviour was influenced by their attitudes, risk perception, and accident involvement. Pragmatic attitudes toward traffic rule violations and safety priority were found to be important predictors of the frequency of rule violations when cycling. Attitudes towards the enforcement of traffic rules for cyclists and dissatisfaction with the traffic rules for cyclists were found to be important predictors for the frequency of situations involving conflicts with other road users. Risk perception and accident involvement were found to be associated with conflicts with other road users, but not with rule violations when cycling. The findings show that risk perception and attitudes toward traffic safety are important for cyclists’ risk-taking behaviour in traffic. The road infrastructure and the traffic regulations are primarily planned for car drivers and pedestrians. If cyclists’ attitudes are to be changed, the cycling infrastructure and traffic rules for cyclists would need to be adjusted to cyclists as road users. When building new infrastructure and implementing new safety measures for cyclists, it is important to include attitude campaigns, as well as communications to the public about safety and the risks linked to cycling. Attitude campaigns could be used to strengthen the authorities’ communications that cyclists are prioritized as road users.     

Exploring the relationships between pedestrian behaviours and traffic safety attitudes in six countries

The majority of cross-cultural research on traffic safety has investigated driver behaviour, yet in most low- and middle-income countries, where the weight of the road fatality burden is felt, motorisation rates are significantly lower than in higher-income countries. As such, this approach necessarily excludes large parts of the populations in those settings. In order to investigate the link between traffic safety attitudes and road user behaviours, this study used a self-report measure of pedestrian behaviour, applying it in six countries; Bangladesh, China, Kenya, Thailand, the UK, and Vietnam. Focus was on the relationships between a respondent’s attitude towards risky or rule violating on-road behaviours (of other road users, or more generally, not specific to pedestrians), and the extent to which they reported performing three types of risky pedestrian behaviours (i.e., intentional rule violations, errors in judgement or memory, and aggressive behaviours). Data from a sample of 3,423 individuals was subjected to a series of regression models, revealing significant links between attitudes and pedestrian behaviours in all countries, in all three behavioural factors, after controlling for age, gender, and exposure to the road environment. Differences were found between countries in the strength of these relationships, with weaker connections between attitudes and behaviours in Kenya, and stronger connections in China (with other countries in-between the two). Results are discussed in terms of the need to understand the relationships between social cognitive constructs in the specific country in which a road safety intervention is intended to be implemented.     

Pedestrian behaviour of 6th grade Estonian students: Implications of social factors and accident-prevention education at school

Children as pedestrians are one of the most vulnerable groups of road users. Therefore factors associated with risky pedestrian behaviour should be carefully studied. The aim of this article is to clarify how the traffic behaviour of 6th grade students as pedestrians is associated with the behaviour of their traffic companions and prevention activities at school, also taking gender into consideration. The research was conducted based on a randomly-selected sample of 1033 6th-grade students with the mean age of 12.77 ± 0.38 (SD) years. The results showed that compared to girls boys take significantly more risks as pedestrians: they rarely use reflectors during periods of darkness and often cross the road against the red light. The most important role models for adolescents in traffic behaviour are their parents. The role model behaviour with the strongest effect on adolescent high-risk behaviour in traffic is the role model not using crosswalks to cross the street. The results also showed that higher-risk traffic behaviour by adolescent pedestrians is predicted by higher-risk behaviour on the part of their companions (parents, teachers), walking alone on the street, as well as by an adolescent’s lower involvement in the less active prevention activities in the classroom. To improve adolescent pedestrians’ traffic behaviour social environment and school-based factors should be considered more thoroughly in prevention work at school.     

Socio-economic and driving experience factors affecting drivers’ perceptions of traffic crash risk

Drivers are estimated to contribute an overwhelming proportion to the burden of traffic crashes, as factors that increase crash risk are frequently due to unsafe driving behaviours. The relationship between risk perceptions and people’s risky driving behaviours is still not well understood. This paper aims to further analyse the potential effect of risky driving behaviours on drivers’ perceptions of crash risk and differences in perceptions among drivers.Crash risk perceptions in an inter-city, two-way road context of 492 drivers were measured by using a Stated Preference (SP) ranking survey. Rank-ordered logit models were used to evaluate the impact on risk perception of five unsafe driving behaviours and to identify differences in drivers’ risk perceptions. The five unsafe driving behaviours considered in the analysis were respectively related to whether or not the driver follows the speed limits, the rules of passing another car and the safe distance, whether or not the driver is distracted, and whether or not she/he is driving under optimal personal conditions.All risky driving behaviours showed a significant potential effect (p < 0.001) on crash risk perceptions, and model’s results allowed to differentiate more important from less important unsafe driving behaviours based on their weight on perceived crash risk. Additionally, this paper further analyses the potential differences in risk perception of these traffic violations between drivers of different characteristics, such as driving experience, household size, income and gender.The SP technique could be applied to further analyse differences in perceptions of risky driving behaviours among drivers. Future research should consider the potential effect of driving skill on perceptions of risky driving behaviours.     

Risky behaviours associated with traffic crashes among app-based motorcycle taxi drivers in Vietnam

Motorcycle taxi services provide an important mobility option for people in developing countries. With the emergence of new transport technologies, app-based motorcycle taxi services have become increasingly popular in recent years. However, little is known about risky driving behaviours and their association with traffic crashes among app-based motorcycle taxi drivers. Through a survey of 602 app-based motorcycle taxi drivers from three cities in Vietnam, this research aimed to investigate the incidence of risky driving behaviours and their association with driver characteristics and traffic crashes. Using a mobile phone while driving was found to be the most common risky driving behaviour (52%) among app-based motorcycle taxi drivers, followed by neglecting to use turn signals (31%), encroaching car lanes (25%), exceeding the speed limit (21%), running red lights (19%) and carrying more than one passenger (17%). In addition, drivers who were students, or those who worked more than 50 h per week, were found to be more likely to engage in risky driving behaviours. Binary logistic regression modelling showed that neglecting to use turn signals, carrying more than one passenger and smoking while driving was significantly associated with self-reported active crash/fall involvement. Turn signal neglect was also associated with active injury crash/fall involvement. The incidence of risky driving behaviours and associated crash involvement was found to be lower among app-based motorcycle taxi drivers compared with regular motorcyclists, yet the findings still highlight the need for ride-hailing firms to deliver improved education and road safety training for their drivers.     

Evaluating the effectiveness of a young driver-education intervention: Learn2Live

Road traffic collisions are the leading cause of death among young adults, and behaviour change interventions play a key role in battling this public health concern. Road safety interventions are often educational and have traditionally relied on fear appeals to alter risky driving behaviour - yet there is a paucity of data regarding their effectiveness. Peer-education has been championed as an additional route to promoting safe driving behaviour. To examine these issues, this study evaluated the effectiveness of a fear appeal intervention in improving young drivers’ attitudes towards risky driving behaviour. A total sample of 800 high school and college students (16–20 years old) completed a similar set of questionnaires pre- and post-intervention and at a 3-month follow-up. Two different types of follow-up interventions were also compared: a peer-led and an expert-led road safety educational event. Measures evaluating attitudes towards risky driving behaviour were completed at all 3 time frames, and questions regarding the participants' perception of the follow-up event were asked. Overall, our data showed an improvement in attitudes towards risky driving behaviours both immediately after the intervention and three months later. These changes were especially evident among females. With regard to the follow-ups, both were effective in improving the attitudes towards risky driving. However, the peer-led event was preferred by the participants compared to the expert-led follow-up.     

Models for pedestrian gap acceptance behaviour analysis at unprotected mid-block crosswalks under mixed traffic conditions

Pedestrian safety is an important aspect while crossing the road and it can be explained by pedestrian gap acceptance behaviour. The statistical models such as multiple linear regression (MLR) is often used to model linear relationships between dependent variable (viz., pedestrian gap acceptance behaviour) and independent variables, due to their ability to quantitatively predict the effect of various factors on the dependent variable. However such linear models cannot consider the effect of several variables on the output variable, due to primary assumptions of normality, linear, homoscedasticity and multicollinearity. In this regard, the non-linear models based on the artificial neural network (ANN), which are free from assumptions of linear models, can be easily employed for obtaining the effect of several input variables on the pedestrian accepted gap size. However, researchers have rarely applied ANN modelling technique for predicting the pedestrian gap acceptance behaviour, as the pedestrian gap acceptance behaviour depends on several pedestrian, traffic and vehicular characteristics. The ANN based models would be quite useful in establishing relationship between these factors on the pedestrian gap acceptance behaviour at midblock crosswalks under mixed traffic conditions. In this direction, the present study adopts both MLR as well as ANN with different pedestrian, traffic and vehicular characteristics to assess the significant contributing factors for pedestrians’ gap acceptance behaviour at unprotected mid-block crosswalks under mixed traffic conditions. For this purpose, a video graphic survey was conducted at a six lane divided road at unprotected mid-block crossing in Mumbai, India. The data such as pedestrian (gender and age), vehicular, traffic and pedestrian behavioural characteristics were extracted to model pedestrian accepted gaps. The model results show that pedestrian rolling behaviour has a significant effect on pedestrian accepted gap size. The model results concluded that ANN has a better prediction with possibility to consider the effect of more number of variables on the pedestrian gap acceptance behaviour as compared to the MLR model under mixed traffic conditions. However, the quantification of significant contributing variables on pedestrian accepted gap size is easy by MLR model as compared to the ANN technique. So, both models have their own significant role in pedestrian gap acceptance analysis. The developed models may be useful to enhance the existing mid-block crosswalk facilities or planning new facilities by more accurate prediction of the pedestrian gap acceptance behaviour considering the influence of various factors under mixed traffic conditions.     

Risky behavior in young adult pedestrians: Personality determinants,correlates with risk perception,and gender differences

Based on the risk homeostasis theory, the aim of this study was to assess acceptable risk, measured by personality factors, and risk perception, measured by physiological arousal, as predictors of risky behavior in young adult pedestrians, as well as to assess for gender differences. Eighty-two young adults, aged 18–30, completed self-report measures about risky pedestrian behaviors and these personality traits: impulsiveness, conscientiousness and openness to experience. Sixty-four of these participants then took part in an experimental task designed to assess their perception of the level of risk in situations involving different interactions between cars and pedestrians. Risk perception was assessed by these physiological responses: heart rate, skin conductance level, and skin conductance response. Results showed that risky behavior had significant correlations with impulsiveness, conscientiousness, and skin conductance level. Gender differences also emerged in risky behavior, impulsiveness, conscientiousness, and skin conductance level. Finally, a structural equation model showed that impulsiveness, conscientiousness and the difference in skin conductance level between risky and neutral situations predicted risky pedestrian behaviors, and explained 23.6% of the its variance, after controlling the effect of gender. Implications for evaluation, prevention, and intervention for risky pedestrian behaviors are discussed.     

Fatalistic beliefs,risk perception and traffic safe behaviors

IntroductionRoad safety is a major worldwide concern especially for developing countries where a certain feeling of helplessness predominate. Local authorities are seeking ways to change people's behaviors considered as the first causal factor of traffic accidents. Risk perception and fatalistic beliefs have been identified as important socio-cognitive functioning patterns, which can shed light on people's behaviors towards risks, for prevention purpose. But the way fatalistic beliefs are associated with risk perception and safety behaviors remains blurred in literature.ObjectiveThis article examined the relationship between fatalistic beliefs, risk perception and traffic safety-related behaviors.MethodThe study was carried out in Cameroon on a sample of 525 road users with a questionnaire made up of scales measuring fatalistic beliefs, perceived risk for dangerous traffic events and reported safe behaviors.ResultsAs expected, participants with higher levels of fatalistic beliefs perceived dangerous traffic situations as less risky and reported less safe behaviors. Perceived risk partially mediated the association between fatalistic beliefs and reported safe behaviors.ConclusionPerceiving dangerous traffic situations as risky can mitigate the magnitude of one's fatalistic beliefs on the engagement in protective behaviors. The implications for more effective prevention including both beliefs and perceptions are suggested. One can explain to people how to avoid accidents, emphasizing on their capacity to change their behavior and the gains they retrieved from that behavioral change.     

Modeling the influence of mobile phone use distraction on pedestrian reaction times to green signals: A multilevel mixed-effects parametric survival model

Understanding and modeling the influence of mobile phone use on pedestrian behaviour is important for several safety and performance evaluations. Mobile phone use affects pedestrian perception of the surrounding traffic environment and reduces situation awareness. This study investigates the effect of distraction due to mobile phone use (i.e., visual and auditory) on pedestrian reaction time to the pedestrian signal. Traffic video data was collected from four crosswalks in Canada and China. A multilevel mixed-effects accelerated failure time (AFT) approach is used to model pedestrian reaction times, with random intercepts capturing the clustered-specific (countries) heterogeneity. Potential reaction time influencing factors were investigated, including pedestrian demographic attributes, distraction characteristics, and environment-related parameters. Results show that pedestrian reaction times were longer in Canada than in China under the non-distraction and distraction conditions. The auditory and visual distractions increase pedestrian reaction time by 67% and 50% on average, respectively. Pedestrian reactions were slower at road segment crosswalks compared to intersection crosswalks, at higher distraction durations, and for males aged over 40 compared to other pedestrians. Moreover, pedestrian reactions were faster at higher traffic awareness levels.     

风险认知策略的计算机模拟实验

风险认知策略是个体面临风险情景时的风险认知倾向,可以通过个体的行为策略加以判断。本实验采用计算机模拟风险情景,以严格的２×２×３的实验变量设计,研究个体的风险认知策略与风险情景因素的关系。实验结论表明,风险认知策略的调整与风险情景中的实际风险程度（风险概率）、风险信息类型以及对风险情景可控与不可控性的知觉有关。个体的冒险性倾向是相对稳定的心理特征,但风险认知策略的调整不仅与个体的心理特征有关,还与风险情景因素有关。     

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.     

Risk behaviour and mental workload: Multimodal assessment techniques applied to motorbike riding simulation

We present data from an ongoing research project on the cognitive, emotional and neuropsychological basis of risk behaviour. The main aim of the project is to build a model of risk behaviour so that if we know certain cognitive, behavioural and emotional variables, we will be able to predict decisions made in the face of uncertainty and risk, with the final goal of designing programs for evaluating, preventing and controlling risk behaviour. The objective of the present study was to look for individual differences in hazard perception during a static riding simulation and their relationship with mental workload. We used a multidimensional methodology, including behavioural, subjective and physiological data. The behavioural measures were obtained in a static riding simulation during eight hazard situations. We evaluated whether eye activity measures correlated with cognitive workload and different types of risky behaviours. Eye movement parameters were measured using a video-based eye tracking system. We found that risk-prone individuals showed specific patterns of risky behaviours and that peak of saccadic velocity and subjective mental workload indexes were both reliable indicators of risk proneness. Mental workload was higher for participants showing attitudes to risk behaviours probably because of a lack of conscious awareness of specific cues indicating dangerous scenarios.     

Does driving experience in video games count? Hazard anticipation and visual exploration of male gamers as function of driving experience

Risk perception and distribution of visual attention while driving are crucial elements for accident prevention and new-driver improvement. This study investigates how racing videogames could shape the visual exploration of virtual and real road in male pre-drivers. The visual performance of players of racing video games with and without driver’s license was tested in virtual vs. real scenarios. Attention to specific elements of different types of road interactions was monitored using an eye-tracking system. Results showed that habitual use of racing video games was not found to foster a positive effect on users’ distribution of visual attention, supporting visual patterns typical of novice drivers. Gamers without driving experience replicated the same patterns in a real road scenario, ignoring road signs and potential areas of interactions with other drivers, while experienced drivers gamers explored video games roads like real roads. The fact that the gamers’ driving performance was not comparable to drivers in the virtual scenario suggests that there are other variables in the gameplay that create a less complex traffic scene, still the visual complexity of different real road interactions is kept in video game interactions, opening new perspectives towards gamers’ visual exploration of the road.     

Sensitivity to reward and risky driving,risky decision making,and risky health behaviour: A literature review

Young driver road safety has persisted as a global problem for decades, despite copious and diverse intervention. Recently the influence in reward sensitivity, which refers to the individual’s personal sensitivity to rewards, has received attention in health-related research, including more generally through decision making in risky circumstances, and in risky driving behaviour specifically. As such, a literature review and synthesis of the literature regarding reward sensitivity in relation to risky driving, risky decision making, and risky health behaviour, with a focus on literature in which adolescents and young adults feature, is timely. Thirty-one papers were identified, and the literature revealed that young drivers with greater reward sensitivity engage in more risky driving behaviours including speeding, crashes and traffic violations; and that individuals with greater reward sensitivity engage in more risky decision making and other risky health-related behaviours (such as drinking and drug use). Adolescents and young adults exhibit heightened sensitivity to rewards in the presence of peers, which has considerable implications for young driver road safety as research consistently demonstrates that carrying peer passengers places all vehicle occupants at greater risk of being involved in a road crash. Consideration of the influence of reward sensitivity in young driver road safety, and other adolescent/young adult health-related safety, appears to be a promising avenue of intervention, with gain-framed messages more likely to be accepted by young drivers with greater reward sensitivity. Future research in jurisdictions other than Australia and Europe will increase our understanding of the influence of reward sensitivity, and exploration of the differential impacts of reward-responsiveness and fun-seeking specifically are warranted.     

The role of feedback in shaping responses to risky road scenarios: Evidence from electrodermal activity

When faced with hazardous driving situations, rapid and effective risk perception and decision-making processes are of crucial importance for avoiding crashes. In these cases, the processes are accompanied and influenced by underlying psychophysiological mechanisms such as electrodermal activity (EDA) modulations. The present work aims to assess the psychophysiological mechanisms underlying participants’ risk perception and decision-making when facing risky road scenarios, as correlated to the feedback role in modulating participants’ behavior. Study 1 (n = 32) explores the behavioral effects of administering a contingent feedback in a decision (decision-making) and an evaluation (risk perception) task in response to a set of risky and not risky images. The behavioral data reveal an effect on the participants’ probability of response, independently from the type of image presented, when the feedback was administered. In the decision task, the effect is accompanied by a change in the amplitude and percentage of the skin conductance responses (SCRs), which are moderated by block of trials. Study 2 (n = 44) better assesses the role of task and block on participants’ physiological activation, as measured by EDA signal. The results show an increase in psychophysiological activation when the feedback is delivered, in the first part of the tasks, both in terms of SCRs amplitude and percentage to the presented road scenarios, followed by a decrease in the second part of the tasks. Moreover, this effect is more evident in the decision task than the evaluation task. These findings suggest that the role exerted by feedback when facing risky traffic images may be described as based on an associative process that, once the correct response has been learned, tends to be reduced as it becomes automatic. Overall, the results of the two studies represent an important step toward the development of training programs aimed at promoting safer behaviors in risky driving contexts.     

风险情景中参照点与管理者认知特征

采用问卷测量的方法探讨风险情景以及个性特征对个体风险倾向的影响。结果显示：(1)成就动机的两个成分,即争取成功与回避失败能够分别预测个体在风险情景中的风险倾向与认知特征;争取成功动机对预测个体机会认知更敏感,而回避失败动机对预测威胁认知更有效。(2)回避失败动机是区分个体风险倾向的关键变量,个体在风险情景中的风险倾向取决于个体回避失败动机的强弱。(3)实验证实了当以“成功”为参照点时,回避失败倾向低的个体,在获益情景中更冒险而在损失情景中更保守;相反,回避失败倾向高的个体,在损失情景中更冒险而在获益情景中更保守。研究表明,结合人格和情景两类变量探讨个体风险倾向的反应模式能够更准确地描述个体行为倾向及其认知特征。这一结论提供了一个可能的思路来解释P理论与刻板模式之间的争执。另外,企业与学生样本在数据的总体趋势上存在相当多的一致性,但在细节上仍然存在差异,因此以学生样本数据进行推论时须要特别谨慎。     

A hazard-perception test for cycling children: An exploratory study

In car driving, hazard perception tests have revealed important differences in perceptual-cognitive skills between novice and experienced drivers. Although these insights have led to new educational programs for learner drivers, similar research has not yet been done for other road users such as bicyclists. In the current investigation, a first hazard perception test for bicyclists has been developed and tested on both adults and children of ±eight year old. The test consisted of three sections in which visual behaviour, environmental awareness, and risk perception were evaluated respectively. Although only few differences in visual behaviour and environmental awareness were found, adults were found to react earlier on hazards than children. These results suggest that children have difficulties to interpret the necessary information to react timely to hazardous traffic situations. Alternatively, the current set-up of the hazard perception test might not have been suitable to detect differences in visual behaviour between children and adults in traffic situations. Therefore the development and use of future hazard perception tests for bicyclists is discussed.     

The self-reported driving behaviour of young drivers in Lithuania: An application of the behaviour of young novice drivers scale – Lithuania (BYNDS-Li)

BackgroundWith just one year left in the Decade of Action for Road Safety, it is timely nations reflect on their progress in the realm of improving road safety more generally, and in young driver road safety specifically given the pernicious problem that is young driver risky driving behaviour and road crashes. Effective intervention requires a fundamental foundation of understanding the nature of the problem. Therefore the current study explored the self-reported risky driving behaviour of young drivers in Lithuania, a nation classified as a developed country as recently as 2015.MethodThe self-report Behaviour of Young Novice Drivers Scale (BYNDS, 1) was applied in a sample of 457 Lithuanian young drivers aged 18–24 years, after a rigorous forward-backward translation process.ResultsSeven factors (risky exposure, transient rule violations, driver misjudgements, driver mood, vehicle overcrowding, personal seatbelt use, substance consumption) explained 65.2% of the variance in self-reported risky driving behaviour as measured by the BYNDS-Li. The most common risky driving behaviours included driving in excess of posted speed limits, and driving at high risk times such as at night and on weekends.Discussion and implicationsThe seven-factor structure of the BYNDS-Li supports arguments that culturally-valid measures should be operationalised in jurisdictions other than those in which they were developed (in the case of the BYNDS, Queensland, Australia). Moreover, systems thinking argues that interventions and efforts must be multi-sectoral and collaborative interventions. In the case of young driver road safety, these should be framed within the 4E’s of education, engineering, enforcement, and engagement.