Electric personal mobility device driver behaviors, their antecedents and consequences: A narrative review.

INTRODUCTION: Electric personal mobility devices (ePMDs), as well as crashes involving ePMDs, have been on the rise all over the world. The objectives of this study were: (a) to summarize the literature based on a narrow definition of ePMD (excluding e-bikes) and (b) to sort out the results to fit into a psychological and behavioral framework. The available literature was sorted into three main categories: the behaviors of ePMD drivers, their antecedents, and their consequences. METHOD: A narrative review of the literature was carried out in 101 documents published between January 2018 and July 2021. RESULTS: Regarding behavioral antecedents, regulations vary from country to country. ePMDs were found to be used primarily by males under 40 years of age. We found no studies on driving skills or learning, driver education or training, or on the effect of health messages on attitudes and behavior. Regarding the main behaviors themselves, the drivers' reasons for focusing on ePMDs were our main focus (use for short distances and mainly for commuting, shopping, and leisure). Few of the studies we reviewed explored the interactions between ePMD drivers and other road users in natural or simulated environments, and the influence of road infrastructure on behavior has rarely been studied. Regarding health consequences, reported ePMD crashes resulted in serious head and limb injuries, especially head and leg fractures. The lack of personal protective equipment (e.g., a helmet) increased the severity of crashes. The conclusion highlights gaps in the literature from a psychological and behavioral point of view.

The 'invisible gorilla' during pedestrian-AV interaction: Effects of secondary tasks on pedestrians' reaction to eHMIs.

In road traffic, mental overload often leads to a failure to notice new and distinctive stimuli. Such phenomenon is known as 'inattentional blindness'. Safe and efficient interaction between automated vehicles (AVs) and pedestrians is expected to rely heavily on external human-machine interfaces (eHMIs), a tool AVs are equipped with to communicate their intentions to pedestrians. This study seeks to explore the phenomenon of 'inattentional blindness' in the context of pedestrian-AV interactions. Specifically, the aim is to understand the effects of a warning eHMI on pedestrians' crossing decisions when they are engaged in a secondary task. In an experiment study with videos of pedestrian crossing scenarios filmed from the perspective of the crossing pedestrian, participants had to decide the latest point at which they would be willing to cross the road in front of an AV with an eHMI vs. an AV without an eHMI. Participants were also asked to predict the future behavior of the AV. 125 female and 9 male participants aged between 18 and 25 completed the experiment and a follow-up questionnaire. It was found that the presence of a warning eHMI on AVs contributes to a clearer understanding of pedestrians' inferences about the intention of AVs and helps deter late and dangerous crossing decisions made by pedestrians. However, the eHMI fail to help pedestrians avoid such decisions when they face a high mental workload induced by secondary task engagement.

Empathy, impulsiveness, and sensation seeking as mediators between primary psychopathic traits and driving behaviors in French driving offenders.

OBJECTIVE: The aim of this study was to examine the links between primary psychopathic traits and driving behavior on the one hand, and driving anger expression on the other hand, through the specific contribution of empathy, impulsiveness, and sensation seeking, in a sample of French driving offenders. METHODS: One thousand six hundred and eighty-six driving offenders completed a paper-and-pencil questionnaire during 110 drivers' rehabilitation programs. RESULTS: Primary psychopathic traits were positively associated with violations and aggressive driving anger expression, and negatively associated with prosocial driving behaviors. These associations were partially mediated by empathy, impulsiveness, and sensation seeking. In addition, the negative relation between primary psychopathic traits and adaptive anger expression was fully mediated by these three personal dispositions. CONCLUSION: Low empathy, high impulsiveness and sensation seeking are important characteristics of driving offenders with high psychopathic traits. Our results provide a better understanding of French driving offenders' risky behaviors and the role of primary psychopathic traits.

How distracting is chronic pain? The impact of chronic pain on driving behaviour and hazard perception.

In road safety research, few studies have examined driving behaviour in chronic pain cohorts. The aim of this study was to investigate driving behaviour among drivers experiencing chronic pain. We compared individuals with chronic pain with age-gender matched healthy controls. Participants completed: (i) an anonymous online survey that included participant demographics, transport characteristics, self-reported driving behaviour, and pain characteristics (ii) a response-time hazard perception test and a verbal-response hazard prediction test for drivers, and (iii) a driving diary in which participants recorded their driving over two weeks. The results showed that participants with chronic pain were not significantly worse than controls for hazard perception and prediction test scores, self-reported attention-related errors, driving errors, driving violations, and involuntary distraction. Drivers with chronic pain did report significantly more driving lapses but this effect became non-significant when variables confounded with chronic pain, such as fatigue, were adjusted for. We also found that participants who reported particularly high levels of chronic pain performed worse in the hazard prediction test compared to the control group (and this effect could not be accounted for by other variables associated with chronic pain). In addition, participants with chronic pain reported significantly higher driving workload (mental demand, physical demand, effort, and frustration) compared with controls. The findings of this study provide new insights into driving behaviour in individuals with chronic pain and recommendations for future research in terms of driving assessment and self-regulation strategies are provided.

Exploring driving behaviour from the perspectives of individuals with chronic pain and health professionals.

Chronic pain affects one in five Australians, and this could impact daily activities such as driving. Driving is a complex task, which requires the cognitive and physical ability to predict, identify, and respond to hazards to avoid crashing. However, research exploring the factors that influence safe driving behaviour for chronic pain individuals is limited. A qualitative study was conducted which involved semi-structured interviews with 23 people who had experienced persistent pain for at least three months and 17 health professionals who had experience working with individuals with chronic pain. The aim of this study was to obtain a deeper understanding of the experiences and challenges that people with chronic pain may have in their day-to-day driving. Participants were also asked about currently available driving assessments and strategies for individuals with chronic pain in the Australian healthcare system. The themes emerging from the interviews highlighted the need for clearer guidelines and educational materials regarding the impact of chronic pain on an individual's ability to drive. These themes included the physical and cognitive challenges resulting from chronic pain, as well as the potential side effects of pain medications. In addition, participants identified a number of self-regulation strategies and driving assessments currently available for monitoring safe driving behaviour in Australia. This study improves our understanding of how chronic pain affects driving behaviour, as reported by individuals experiencing the pain and relevant health professionals. Recommendations for improving the safety of drivers with chronic pain are discussed, including possible technological interventions and better public education.

French drivers' behavior: Do psychological resources and vulnerabilities matter?

INTRODUCTION: Driving is a risky activity, and road users' behavior is one of the many factors that participate in increasing the risk of road-traffic crashes. Drivers must constantly adapt their behavior to the environment and control their vehicles, and must also anticipate the behavior of others, which may pose a threat to their own safety. Interactions between road users can therefore be stressful and elicit strong negative emotions. Psychological resources and vulnerabilities may be important in understanding how drivers perceive and respond to these driving interactions. The aim of this study was to investigate the role of empathy, self-compassion, personal distress, and alexithymia in both dangerous and prosocial driving behaviors. METHOD: Our sample (N = 550) of French drivers was recruited via snowball sampling. The drivers filled in paper-and-pencil questionnaires including the Driver Behavior Questionnaire (DBQ), the French adaptation of the Toronto Empathy Questionnaire (Short-FTEQ), the Interpersonal Reactivity Index (IRI), the Self-Compassion Scale - Short Form (SCS-SF), and the Toronto Alexithymia Scale (TAS-20). RESULTS: After controlling for gender and age, regression analyses revealed that road traffic violations were positively predicted by alexithymia and negatively predicted by cognitive empathy; errors were positively predicted by alexithymia and personal distress, and prosocial driving was positively predicted by emotional and cognitive empathy. A two-step cluster analysis identified three groups of drivers: unsafe and psychologically vulnerable (n = 176), self-focused and less prosocial (n = 151), and safe and resourceful (n = 223). CONCLUSIONS: Empathy seems to promote safe driving behaviors. Moreover, cognitive empathy appears to safeguard drivers against deliberate violations, whereas psychological vulnerabilities seem to increase the probability of engaging in dangerous behaviors. Practical Applications: These results could open new research avenues for the prevention of dangerous driving behaviors and the promotion of road safety.

Impact of chronic pain on driving behaviour: a systematic review.

ABSTRACT: Driving is a complex task that requires both the ability to rapidly identify potential hazards and respond appropriately to driving situations to avoid crashing. A great deal of research has sought to increase road safety by focusing on risky behaviours, very few of which have explored the effects of chronic pain (CP) on driving behaviour. This systematic review aimed to assess driving behaviour and motor vehicle crash risk in drivers with CP. Four databases (Embase, PubMed, Scopus, and PsycINFO) were searched using relevant search terms. From 8543 studies, 22 studies met the eligibility criteria for inclusion in this review. A driving behaviour framework, based on the Michon model of driving behaviour, is proposed to map the effect of CP on driving behaviour. Findings suggest that drivers with CP engage in risk-compensatory strategies that are positive from a precautionary perspective. However, there is considerable variability in the use of such strategies across different samples, suggesting that there are significant barriers and facilitators involved in these decisions. Moreover, our findings provide some evidence that CP could increase crash risk and change driving behaviour. Evidence-based recommendations for practitioners and policymakers are proposed regarding the risks of driving in individuals experiencing CP. Future research into CP in driving could benefit from having a unified evidence-based approach to determine behaviour at all levels of the driving task.

Perceived stress, mental health, organizational factors, and self-reported risky driving behaviors among truck drivers circulating in France.

INTRODUCTION: The growth of the European market for road-freight transport has recently led to important changes. The growing number of foreign pavilion drivers transiting in France, which plays a bridging role among European countries, has influenced the lives of truck drivers by increasing competition, pressure on day-to-day activities, and constraints related to delivery deadlines. Adding this new pressure to those inherent in the road-freight transport sector has raised concerns, especially ones linked to levels of perceived stress by truck drivers. METHOD: With safety concerns in mind, we devised a questionnaire aimed at understanding how French truck drivers and non-French truck drivers, passing through four highway rest areas in France perceive stress, organizational factors, mental health, and risky driving behaviors. A sample of 515 truck drivers took part in the survey (260 French nationals), 97.9% of whom were male. RESULTS: The results of a structural equation model indicated that perceived stress can increase self-reported risky driving behaviors among truck drivers. Furthermore, organizational factors and mental health were closely linked to perceived stress. Finally, some differences were found between French and non-French truck drivers with respect to mind-wandering and mental health, and to perceive driving difficulties to overcome and driving skills. Practical Applications: Several recommendations based on the findings are provided to policymakers and organizations.

Comparative judgements of crash risk and driving ability for speeding behaviours.

INTRODUCTION: Preliminary research has indicated that numerous drivers perceive their risk of traffic crash to be less than other drivers, while perceiving their driving ability to be better. This phenomenon is referred to as 'comparative optimism' (CO) and may prove to inhibit the safe adoption of driving behaviors and/or dilute perceptions of negative outcomes. The objective of this study was to investigate comparative judgments regarding crash risk and driving ability, and how these judgments relate to self-reported speeding. METHOD: There were 760 Queensland motorists comprised of 51.6% males and 48.2% females, aged 16-85 (M = 39.60). Participants completed either a paper or online version of a survey. Judgments of crash risk and driving ability were compared to two referents: the average same-age, same-sex driver, and the average same-age, same-sex V8 supercar champion. RESULTS: Drivers displayed greater optimism when comparing their crash risk and driving ability to the average same-age, same- sex driver (respectively, 72%, 72.4%), than when comparing to a V8 supercar champion (respectively, 60%, 32.9%). When comparing judgements of crash risk and driving ability to a similar driver, it appears that participants in the present study are just about as optimistic about their risk of crash (i.e. 72%) as they are optimistic about their driving ability (i.e. 74.2%).

Comparative analysis of data reduction techniques for questionnaire validation using self-reported driver behaviors.

INTRODUCTION: Exploratory data reduction techniques, such as Factor Analysis (FA) and Principal Component Analysis (PCA), are widely used in questionnaire validation with ordinal data, such as Likert Scale data, even though both techniques are indicated to metric measures. In this context, this study presents an e-survey, conducted to obtain self-reported behaviors between Brazilian drivers (N = 1,354, 55.2% of males) and Portuguese drivers (N = 348, 46.6% of males) based on 20 items from the Driver Behavior Questionnaire (DBQ) on a five-point Likert Scale. This paper aimed to examine DBQ validation using FA and PCA compared to Categorical Principal Component Analysis (CATPCA) which is more indicative to use with Likert Scale data. RESULTS: The results from all techniques confirmed the most replicated factor structure of DBQ, distinguishing behaviors as errors, ordinary violations, and aggressive violation. However, after Varimax rotation, CATPCA explained 11% more variance compared to FA and 2% more than PCA. We identified cross-loadings among the component of the techniques. An item changed its dimension in the CATPCA results but did not change the structural interpretability. Individual scores from dimension 1 of CATPCA were significantly different from FA and PCA. Individual scores from factor 1 of CATPCA were significantly different from FA and PCA. Practical applications: The CATPCA seems to be more advantageous in order to represent the original data and considering data constrains. In addition to finding an interpretable factorial structure, the representation of the original data is regarded as relevant since the factor scores could be used for crash prediction in future analyses.

A priori acceptance of highly automated cars in Australia, France, and Sweden: A theoretically-informed investigation guided by the TPB and UTAUT.

To assess and explain finely drivers' a priori acceptance of highly automated cars, this study used the Theory of Planned Behaviour (TPB) and the Unified Theory of Acceptance and Use of Technology (UTAUT). Further, the current study sought to extend upon previous research to assess if intentions to use highly automated cars in the future differed according to country (i.e., Australia, France, & Sweden). These three countries were selected to enable comparisons of a priori acceptance between countries of differing levels of exposure to highly automated cars. Participants (N = 1563; 62.1 % male) were recruited in Australia (n = 558), France (n = 625), and Sweden (n = 380) to complete a 20 min online questionnaire. The findings differed according to country of residence. Individuals residing in France reported significantly greater intentions to use highly automated cars when they become publicly available compared to individuals residing in Australia and in Sweden. Of the TPB constructs entered at step 1 in the hierarchical regression, attitudes, subjective norms, and perceived behavioural control (capability and controllability) were significant predictors of intentions to use highly automated cars for participants residing in Australia and France. For participants residing in Sweden, only attitudes and PBC-capability were significant predictors of intentions. Of the UTAUT constructs entered at step 2, performance expectancy and effort expectancy were significant predictors of intentions for participants residing in France and only performance expectancy a significant predictor of intentions for participants residing in both Australia and Sweden. Age and gender did not add to the prediction of intentions when entered at step 3. However, pre-existing knowledge was a significant negative predictor of intentions when entered at step 3 for participants residing in Australia. Overall, the findings found some support for applying the TPB and UTAUT to assess intentions to use highly automated cars in different countries. The findings also highlight differences in a priori acceptance across countries and the factors which predict such acceptance.

Brazilian adaptation of the driving anger expression inventory: testing its psychometrics properties and links between anger behavior, risky behavior, sensation seeking, and hostility in a sample of Brazilian undergraduate students.

INTRODUCTION: In Brazil, driver aggressiveness in road traffic is a critical issue and could be an important contributing factor to the high number of traffic accidents. Because no instruments are available in Portuguese to register driving aggressiveness or driving anger in Brazil, we adapted English instruments into the Brazilian context. The aims of this study were to provide a Brazilian adaptation of the Driving Anger Expression Inventory (DAX) and to try to validate it by testing its psychometric properties and investigating its relationships with risky driving behaviors (DBQ), road accidents, driving sensation seeking, and hostility. METHOD: The Brazilian adaptations of the DAX, DBQ, the Driving Sensation Seeking Scale (DSSS) and the hostility Scale were administered to a sample of 512 undergraduate students (with a mean age of 23.7 years, 52.1% men). RESULTS: Confirmatory factor analysis of the Brazilian DAX (DAX-BR) items yielded a four-factor solution with 43 items, which obtained the best goodness-of-fit to the data. Cronbach's alpha for the DAX-BR factors ranged from 0.69 to 0.88. Other results on validity were a positive correlation (range 0.39-0.59) between the factors of the DAX-BR, DSSS, and DBQ. CONCLUSION: DAX-BR as the same structure as the original and is a reliable instrument for use with young drivers. Other studies should be conducted to further validate the DAX-BR in different types of populations such as older and more experienced drivers, professional drivers, and traffic regulation offenders whose driver's license has been taken away. Practical applications: This Brazilian version can be recommended for the assessment of driving anger expression in Brazil among young drivers in view of helping them driver more safely, and in particular to reduce traffic violations.

Driving Behaviors 2-3 Years After Traumatic Brain Injury Rehabilitation: A Multicenter Case-Control Study.

Introduction: Driving an automobile is an important activity for the social participation of individuals with traumatic brain injury (TBI). Return to safe driving is usually addressed during rehabilitation, but we know little about driving behaviors in the years following TBI rehabilitation. Objective: To explore self-reported and objective (official driving records) post-rehabilitation driving behaviors and offenses in individuals with TBI: (a) having passed a driving evaluation, (b) who did not undergo a driving evaluation, and (c) non-injured controls. Methods: Cross-sectional design with 162 adults: (a) 48 participants with mild, moderate, or severe TBI whose drivers' license was suspended and reinstated following a driving evaluation during rehabilitation (TBI-DE; M = 42.2 years of age, SD = 11.5); (b) 24 participants with TBI who maintained their driving privileges without undergoing a driving evaluation (TBI-NE; M = 36.5 years of age, SD = 9.9); (c) 90 non-injured controls (M = 43.8 years of age, SD = 11.4). Participants with TBI were recruited from seven rehabilitation centers, 2-3 years after the end of rehabilitation in the province of Quebec, Canada. During a telephone interview, data were obtained regarding self-reported driving: (a) habits; (b) self-efficacy; (c) anger expression; (d) sensation-seeking; (e) violations/errors; (f) accidents, driving offenses, and demerit points for the two-year interval predating the study. Objective data for driving offenses, accidents, and demerit points were obtained from the automobile regulatory body for the same period and for the two-year interval before the injury for the TBI groups. Results: Compared to non-injured controls, the TBI-DE group reported significantly lower scores for self-reported verbal aggressive expression of anger and driving violations/errors. Conversely, their official driving records showed significantly more demerit points for the last 2 years, and a significantly higher frequency of serious post-rehabilitation accidents (10), compared to the TBI-NE group (one) and the control group (none). Compared to pre-injury levels, individuals with TBI had significantly more demerit points post-rehabilitation. Conclusions: Individuals with TBI may underestimate risky driving behaviors even if they have been deemed fit to drive. Reduced self-awareness, memory, and dysexecutive problems following TBI could influence self-report of driving behaviors and explain discrepancies between self-reported and objective driving-related behaviors. Recommendations for research and practice are provided.

Evaluating individual risk proneness with vehicle dynamics and self-report data - toward the efficient detection of At-risk drivers.

Vehicle-dynamics data, now more readily available thanks to moderate-cost, embedded data logging solutions, have been used to study drivers' behavior (acceleration, braking, and yaw rate) through naturalistic driving research aimed at detecting critical safety events. In addition, self-reported measures have been developed to describe these events and to assess various individual risk factors such as sensation seeking, lack of experience, anger expression while driving, and sensitivity to distraction. In the present study, we apply both of these methods of gathering driving data in order to assess risk proneness as accurately as possible. Data were obtained from 131 drivers, who filled in an introductory questionnaire pertaining to their driving habits. Their vehicles were equipped with an external, automatic data-capture device for approximately two months. During that period, the participants reported critical safety events that occurred behind the wheel by (a) pressing a button connected to the device and (b) describing the events in logbooks. They also filled in weekly questionnaires, and at the end of the participation period, a final questionnaire with various self-reported measures pertaining to their driving activity. We processed the data by (a) performing a multiple correspondence analysis of the characteristics assessed via the automatic data capture and self-reports, and (b) categorizing the participants via hierarchical clustering of their coordinates on the dimensions obtained from the correspondence analysis. This allowed us to identify a group of drivers (n = 43) at risk, based on several self-reported measures, in particular, their recent crash involvement, and the frequency of critical acceleration/deceleration events as an objective measure. However, the at-risk drivers did not themselves report more critical safety events than the other two groups.

Causal attribution in explanations of near-crash events behind the wheel, and its relationship to comparative judgments.

INTRODUCTION: The development of skills essential for avoiding crashes depends, in particular, on how drivers explain the causes of dangerous driving behaviors that resulted in a near crash. Here, we analyze causes attributed to such behaviors by car drivers in a self-report study. We explore the relationships between the dimensions of causal attribution, attribution of responsibility for the near crash, and drivers' comparative judgments. METHOD: For approximately two months, drivers used logbooks to document the near crashes that occurred during their trips. The causes attributed in those reports to driving behaviors resulting in near crashes were then coded by two judges on the basis of several causal dimensions. Drivers also estimated their own and an average driver's skill levels, and their risk of being involved, as a driver, in a crash. RESULTS: We distinguished main types of causes of the near crashes reported. Drivers had a tendency to more often attribute external causes to their own behaviors resulting in near crashes than to those of others. The probability of attributing a controllable cause increased with overestimation of one's own skills and decreased with underestimation of one's own risk in comparison to other drivers. The probability of attributing a stable cause increased with underestimation of one's own risk. CONCLUSIONS: When they explained their own behaviors resulting in near crashes, drivers mentioned different causes than when they explained those of others. Overestimation of one's own skills as compared to other drivers could be beneficial for developing crash-avoiding skills, insofar as it seems to foster attribution of controllable causes. By contrast, underestimation of one's own risk could have the opposite effect. PRACTICAL APPLICATIONS: Vulnerability to road risks should be stressed in driver's training and risk communication campaigns. However, self-confidence with respect to one's skills should not always be targeted as a safety problem.

Applying an extended theory of planned behavior to predicting violations at automated railroad crossings.

Based on an extended Theory of Planned Behavior (TPB, Ajzen, 1985, 1991), we conducted surveys in order to explain and predict violations at a railroad crossing, among pedestrians (n=153) and car drivers (n=151). Measures were made with respect to three chronologically related railroad crossing situations that varied in risk level. The situations were described in scenarios and depicted on photographs. The participants were recruited in the suburbs of Paris, at two automated railroad crossings with four half-barriers. We found that the pedestrians had stronger crossing intentions than did car drivers, especially at the more congested crossing of the two under study. For both categories of road users, intentions and the amount of intention variance explained by the extended TPB factors decreased significantly with risk level. In the most dangerous situations, risk-taking was the most unlikely and the least predictable Self-reported past frequency of crossing against safety warning devices was the main predictor of the intention to commit this violation again, especially among males, followed by the attitude and the injunctive norm in favor the violation. Moreover, car drivers were influenced in their crossing intentions by the descriptive norm. The presence of another vehicle on the tracks when the safety warning devices were activated was perceived not as facilitating, but as an additional risk factor. The discussion addresses the importance of taking into account these determinants of violations in conceiving countermeasures. Our findings could be especially useful for conceiving risk-communication campaigns.

The effects of co-presence on risk perception and intention to engage in risky behaviors.

INTRODUCTION: This study investigated the relation between co-presence and bicyclists' riding behavior. We assumed that the presence of peer riders would either facilitate or inhibit risky behaviors depending on bicyclists' perceptions of three traffic contexts conducive to risk taking (i.e., red-light, go straight, and turn to left). METHOD: Young bicyclists (N=207) were randomly assigned to two experimental conditions (alone vs. with peers). They filled in a scenario-based questionnaire about their intentions to adopt risky behaviors in three specific traffic situations as well as their risk perception of these situations and their general self-perceived efficacy as a bicyclist. We hypothesized that the presence of peer riders engaged in a risky behavior will facilitate the intention to adopt risky behaviors in situations where group risk is evaluated as lower than individual risk. In opposition, the presence of peer riders engaged in a risky behavior will inhibit the intention to adopt risky behaviors in situations where group risk is evaluated as higher than individual risk. RESULTS: The results confirmed the hypotheses. PRACTICAL APPLICATIONS: The findings offer insights for developing new effective education and intervention programs in order to reduce the frequency of dangerous behavior among bicyclists.

Fully Automated Driving: Impact of Trust and Practice on Manual Control Recovery.

OBJECTIVE: An experiment was performed in a driving simulator to investigate the impacts of practice, trust, and interaction on manual control recovery (MCR) when employing fully automated driving (FAD). BACKGROUND: To increase the use of partially or highly automated driving efficiency and to improve safety, some studies have addressed trust in driving automation and training, but few studies have focused on FAD. FAD is an autonomous system that has full control of a vehicle without any need for intervention by the driver. METHOD: A total of 69 drivers with a valid license practiced with FAD. They were distributed evenly across two conditions: simple practice and elaborate practice. RESULTS: When examining emergency MCR, a correlation was found between trust and reaction time in the simple practice group (i.e., higher trust meant a longer reaction time), but not in the elaborate practice group. This result indicated that to mitigate the negative impact of overtrust on reaction time, more appropriate practice may be needed. CONCLUSIONS: Drivers should be trained in how the automated device works so as to improve MCR performance in case of an emergency. APPLICATION: The practice format used in this study could be used for the first interaction with an FAD car when acquiring such a vehicle.

Systems-based approach to investigate unsafe pedestrian behaviour at level crossings.

Crashes at level crossings are a major issue worldwide. In Australia, as well as in other countries, the number of crashes with vehicles has declined in the past years, while the number of crashes involving pedestrians seems to have remained unchanged. A systematic review of research related to pedestrian behaviour highlighted a number of important scientific gaps in current knowledge. The complexity of such intersections imposes particular constraints to the understanding of pedestrians' crossing behaviour. A new systems-based framework, called Pedestrian Unsafe Level Crossing framework (PULC) was developed. The PULC organises contributing factors to crossing behaviour on different system levels as per the hierarchical classification of Jens Rasmussen's Framework for Risk Management. In addition, the framework adapts James Reason's classification to distinguish between different types of unsafe behaviour. The framework was developed as a tool for collection of generalizable data that could be used to predict current or future system failures or to identify aspects of the system that require further safety improvement. To give it an initial support, the PULC was applied to the analysis of qualitative data from focus groups discussions. A total number of 12 pedestrians who regularly crossed the same level crossing were asked about their daily experience and their observations of others' behaviour which allowed the extraction and classification of factors associated with errors and violations. Two case studies using Rasmussen's AcciMap technique are presented as an example of potential application of the framework. A discussion on the identified multiple risk contributing factors and their interactions is provided, in light of the benefits of applying a systems approach to the understanding of the origins of individual's behaviour. Potential actions towards safety improvement are discussed.

Comprehension and acceptability of on-board traffic information: Beliefs and driving behaviour.

Co-Drive on-board traffic information system is a complementary tool providing a dynamic management of transportation infrastructure and traffic as well as the diffusion of accurate real-time information about the road environment and motorists' driving behaviour. The aim of this study was to examine drivers' acceptability of Co-Drive by investigating the impact of traffic information provided via on-board display devices on motorists' beliefs and behaviour. 116 drivers (Men=46.6%), between 22 and 62 years, participated to a driving simulator experiment. They were randomly divided into two experimental groups according to the type of display device (Blackberry vs. iPhone) and a control group. The experimental groups were exposed to fourteen on-board traffic messages: warning (e.g., road crash), recommendation (e.g., the use of seat-belt) and comfort messages (e.g., the location of a gas station). They had to validate each message by pushing the headlight flashing button as soon as they understood it. At the end, all participants had to fill in a questionnaire. Drivers evaluated positively the on-board messages, expressed a high level of confidence in the on-board information and estimated having received it sufficiently in advance for them to adjust their behaviour. Regardless of the type of display device, they took more time to read warning and recommendation messages as compared to comfort messages and complied with them. Finally, those exposed to the messages adapted their behaviour easier to the road events than those who did not receive them. Practical implications of the results are discussed.