Novice drivers' risky driving behavior, risk perception, and crash risk: findings from the DRIVE study

Distracted on duty: A theory-based exploration of influences leading to mobile phone distracted riding among food delivery workers

Using mobile phones while riding is a form of distracted riding that significantly elevates crash risk. Regrettably, the factors contributing to mobile phone use while riding (MPUWR) among food delivery riders remain under-researched. Addressing this literature gap, the current study employs the Job Demands-Resources (JD-R) model and various socio-economic factors to examine the determinants of MPUWR. The research incorporates data from 558 delivery workers in Hanoi and Ho Chi Minh City, Vietnam. The study utilizes two analytical methods to empirically test the hypotheses, considering non-linear relationships between variables: Partial Least Square Structural Equation Modelling (PLS-SEM) and Artificial Neural Network (ANN). The results reveal mixed impacts of factors connected to job resources. Although social support appears to deter MPUWR, work autonomy and rewards seemingly encourage it. Furthermore, a predisposition towards risk-taking behaviour significantly impacts the frequency of mobile phone usage among delivery riders. Interestingly, riders with higher incomes and those who have previously been fined by the police exhibit more frequent mobile phone use. The findings of this study present valuable insights into the crucial factors to be addressed when designing interventions aimed at reducing phone use among food delivery riders.

Young drivers' early access to their own car and crash risk into early adulthood: Findings from the DRIVE study

INTRODUCTION

Car ownership at early licensure for young drivers has been identified as a crash risk factor, but for how long this risk persists is unknown. This study examined crash hazard rates between young drivers with their own vehicle and those who shared a family vehicle at early licensure over 13 years.

METHODS

The DRIVE study, a 2003/04 survey of 20,806 young novice drivers in New South Wales, Australia was used to link to police crash, hospital and death records up to 2016. The first police-reported crash and crash resulting in hospitalisation/death was modelled via flexible parametric survival analysis by type of vehicle access at baseline (own vs. shared family vehicle).

RESULTS

After adjusting for covariates, drivers with their own vehicle at early licensure had an almost 30 % increased hazard rate for any crash after one year (95 % CI:1.16-1.42) compared with those who only had access to a family car and this attenuated but remained significantly higher until year 7 (HR: 1.1, 95 % CI: >1.00-1.20). For crashes resulting in hospitalisation or death, an almost 15-times higher hazard (95 % CI: 1.40-158.17) was observed at the start of follow up, remaining 50 % to year 3 (95 % CI:1.01-2.18).

CONCLUSIONS

Parents and young drivers should be aware of the increased risks involved in car ownership at early licensure. Development of poorer driving habits has been associated with less parental monitoring at this time. Graduated Driving Licensing educators, researchers and stakeholders should seek to address this and to identify improved safety management options.

Real-world crash configurations and traffic violations among newly licensed young drivers with different route familiarity levels

OBJECTIVE

Young drivers aged 24 and below are at heightened risks of being influenced by their route familiarity levels. This study aims to compare prevalences of crash culpability, crash configurations and risky driver behaviors among newly licensed young drivers when they are driving on roads with different route familiarity levels.

METHODS

Based on the road traffic crash and violation data in Yunnan Province of China from January 2017 through December 2019, we classified drivers' different route familiarity levels by utilizing spatial distance away from residence-based method, including driving on high route familiarity (HRF) and low route familiarity (LRF) roads. Prevalence ratios were estimated using generalized estimating equation log-binomial regression models.

RESULTS

We identified 12016 newly licensed young drivers driving on HRF roads and 2189 drivers on LRF roads. Within 48 months of licensure, young drivers on LRF roads were more likely to be at fault for their motor vehicle crashes than those on HRF roads. Young drivers on LRF roads were more likely to be with failure to obey traffic control device, with failure to yield right of way, wrong way driving, backing unsafely and improper parking compared with those on HRF roads. Drivers on LRF roads were less likely to be inattentive and driving with unsafe speed and following too closely compared with those on HRF roads.

CONCLUSIONS

Several basic aspects of targeted countermeasures can be put forward. Visual impacts such as rectangular rapid-flashing beacon (RRFB) can be used in order to prevent wrong way driving on the tourist roadways. Arranging safety talks and programs in colleges and universities and technical interventions like Advanced Driver Assistance Systems (ADAS) can be used to reduce young drivers' driving distraction and overconfidence. It is recommended that the driving schools can use these research findings to include in licensure program to make young drivers more aware of the various factors that expose them to crash risks so that more defensive driving may be needed under different situations, and this can also help build the graduated driving licensure (GDL) programme in China.

Driving Under the Influence of Alcohol, Cannabis, and Delta-8 THC: Perceived Likelihood, Risk Perceptions, and Behaviors

Driving under the influence (DUI) of alcohol or cannabis poses public health risks. Little is known about DUI of Delta-8 THC, a newer cannabis product. Using 2022 survey data among 189 U.S. adults ages 18-25 (58.73% male, 59.26% non-Hispanic White), multivariable logistic regression examined substance-specific (alcohol, cannabis, Delta-8) DUI perceived likelihood and risk in relation to past-year DUI among those with past-year use of each. Overall, 72.49% reported past-year alcohol use, 50.53% cannabis, and 22.46% Delta-8. Among those reporting past-year use of each respective substance, 33.58% reported DUI of alcohol, 32.63% cannabis, and 57.14% Delta-8. On average, participants had the same DUI perceived likelihood ("somewhat unlikely") across substances and perceived alcohol DUI as riskiest. Higher alcohol DUI perceived likelihood and lower perceived risk were associated with alcohol-related DUI. Greater cannabis-related perceived likelihood (but not risk) was associated with cannabis-related DUI. Neither Delta-8 DUI perceived likelihood nor risk were associated with Delta-8 DUI. In sum, perceived DUI likelihood for alcohol, cannabis, or Delta-8 tended to be similar. Among those with past-year use of each, the proportion of DUI was highest for Delta-8. Interventions should target DUI-related perceived likelihood and promote protective behavioral strategies that reduce substance-specific DUI risk.

Examination of the Effect of Task Complexity and Coping Capacity on Driving Risk: A Cross-Country and Transportation Mode Comparative Study

The i-DREAMS project established a 'Safety Tolerance Zone (STZ)' to maintain operators within safe boundaries through real-time and post-trip interventions, based on the crucial role of the human element in driving behavior. This paper aims to model the inter-relationship among driving task complexity, operator and vehicle coping capacity, and crash risk. Towards that aim, data from 80 drivers, who participated in a naturalistic driving experiment carried out in three countries (i.e., Belgium, Germany, and Portugal), resulting in a dataset of approximately 19,000 trips were collected and analyzed. The exploratory analysis included the development of Generalized Linear Models (GLMs) and the choice of the most appropriate variables associated with the latent variables "task complexity" and "coping capacity" that are to be estimated from the various indicators. In addition, Structural Equation Models (SEMs) were used to explore how the model variables were interrelated, allowing for both direct and indirect relationships to be modeled. Comparisons on the performance of such models, as well as a discussion on behaviors and driving patterns across different countries and transport modes, were also provided. The findings revealed a positive relationship between task complexity and coping capacity, indicating that as the difficulty of the driving task increased, the driver's coping capacity increased accordingly, (i.e., higher ability to manage and adapt to the challenges posed by more complex tasks). The integrated treatment of task complexity, coping capacity, and risk can improve the behavior and safety of all travelers, through the unobtrusive and seamless monitoring of behavior. Thus, authorities should utilize a data system oriented towards collecting key driving insights on population level to plan mobility and safety interventions, develop incentives for road users, optimize enforcement, and enhance community building for safe traveling.

Learning With a Supervisor Who has Traffic Offences and Young Driver Crashes: The DRIVE Study 13-Year Follow-Up

PURPOSE

Young learner drivers commonly must record substantial supervised practice driving before independent licensure. Supervisory driver requirements can be limited or highly regulated, yet research is lacking on the effectiveness of different approaches. The current objective was to explore whether young drivers who were mostly supervised by someone who they perceived had traffic offences versus no offences had different crash records over a period of 13 years postlicensing.

METHODS

DRIVE is an Australian prospective cohort study of more than 20,000 drivers who were aged 17-24 years and newly licensed during 2003-2004. They completed detailed baseline questionnaires, including whether the person they identified as supervising their learner driving the most had perceived traffic offences in the past 12 months. Responses were linked to their state crash, hospitalization, and death records to 2016. A parametric survival model was created to calculate hazard ratios of time to crash for those reporting that their supervisor had 0 versus 1 and 0 versus 2+ perceived offences, adjusting for the participants' prior crash history and other covariates.

RESULTS

After adjusting for covariates, 369 participants reporting supervisory drivers with 2+ perceived offences, compared to 15,451 participants reporting no such offences, had up to 1.67 (95% confidence interval 1.10-2.53 at 6 months) times the rate of any crash for the first 2.5 years and up to 2.01 (95% confidence interval 1.26-3.19 at 3.5 years) times the rate of crashes resulting in injury for 5.5 years.

DISCUSSION

Although overall supervision by a driver with two or more perceived offences was low, further attention is needed to ensure improved supervised driving experiences, with mentoring programs and professional instructor partnerships worthy of exploration.

Dynamic measurements of speed and risk perception during driving: Evidence of speed misestimation from continuous ratings and video analysis

Investigating the factors underlying perceived speed and risk is crucial to ensure safe driving. However, existing studies on this topic usually measure speed and risk perception indirectly after a driving session, which makes it difficult to trace dynamic effects and time points of potential misestimates. To address this problem, we developed and validated a novel continuous method for dynamically measuring risk and speed perceptions. To study the factors affecting risk and speed perception, we presented participants with videos captured on the same racing track from the same point of view but with different drivers who varied in their speed and risk profiles. During the experiment, participants used a joystick to continuously rate the subjectively perceived risk of driving in the first block and the perceived speed in the second block. Our analysis of these dynamic ratings indicates that risk and speed estimates were decoupled, with curves resulting in decreased speeds but increased risk ratings. However, a close distance to the car in front increased both speed and risk. Based on actual and estimated speed data, we found that overtaking cars on curves resulted in participants overestimating their own speed, whereas an increase in the distance to the car in front on a straight course led to underestimations of their own speed. Our results showcase the usefulness of dynamic rating profiles for in-depth investigations into situations that could result in drivers misjudging speed or risk and will thus help the development of more intelligent, human-centered driving assistance systems.

Relations between risk perception, perceptions of peers' driving, and risky driving among Cambodian adolescents

Introduction

Traffic accidents are a leading cause of death globally, with substantial economic impact particularly in low-and-middle-income countries (LMIC). Adolescents are at particular risk, partly due to their tendency to engage in risky driving. However, most research designed to identify potential causes of risky adolescent driving has been conducted in Western, high-income countries, which often have substantial cultural differences from LMIC that potentially influence risky adolescent driving.

Methods

The present study, one of the first focused on this topic in Southeast Asia, cross-sectionally assessed 425 adolescent motorbike drivers in the Southeast Asian LMIC Cambodia. Adolescents' (a) beliefs about peers' driving (social norms) and (b) driving risk perception were assessed as predictors of four risky driving behaviors: aggressive driving; distracted driving; intoxicated driving; violating driving laws.

Results

Canonical correlation analysis identified a general relation between (a) beliefs about peers' driving, and (b) all four risky driving behaviors, with R2 = 0.35 indicating over one-third of the variance in risky driving was explained by perceptions of peers' driving. Risk perception was not involved in the significant canonical relation, however. Gender moderated two of the underlying relations, with females showing larger relations between perceptions of friends' driving, and distracted driving and violating driving laws.

Discussion

These findings provide useful directions for future research (e.g., assessing the accuracy of Cambodian adolescents' perceptions of peers' driving) useful for helping stakeholders tailor road safety programs (e.g., providing adolescent drivers with accurate information regarding their peers' actual driving behaviors) for adolescent motorcyclists in Cambodia and similar countries.

Self-harm in adolescence and risk of crash: a 13-year cohort study of novice drivers in New South Wales, Australia

INTRODUCTION

Self-harm and suicide are leading causes of morbidity and death for young people, worldwide. Previous research has identified self-harm is a risk factor for vehicle crashes, however, there is a lack of long-term crash data post licensing that investigates this relationship. We aimed to determine whether adolescent self-harm persists as crash risk factor in adulthood.

METHODS

We followed 20 806 newly licensed adolescent and young adult drivers in the DRIVE prospective cohort for 13 years to examine whether self-harm was a risk factor for vehicle crashes. The association between self-harm and crash was analysed using cumulative incidence curves investigating time to first crash and quantified using negative binominal regression models adjusted for driver demographics and conventional crash risk factors.

RESULTS

Adolescents who reported self-harm at baseline were at increased risk of crashes 13 years later than those reporting no self-harm (relative risk (RR) 1.29: 95% CI 1.14 to 1.47). This risk remained after controlling for driver experience, demographic characteristics and known risk factors for crashes, including alcohol use and risk taking behaviour (RR 1.23: 95% CI 1.08 to 1.39). Sensation seeking had an additive effect on the association between self-harm and single-vehicle crashes (relative excess risk due to interaction 0.87: 95% CI 0.07 to 1.67), but not for other types of crashes.

DISCUSSION

Our findings add to the growing body of evidence that self-harm during adolescence predicts a range of poorer health outcomes, including motor vehicle crash risks that warrant further investigation and consideration in road safety interventions. Complex interventions addressing self-harm in adolescence, as well as road safety and substance use, are critical for preventing health harming behaviours across the life course.

The prototype willingness model: An application to adolescent driver speeding

INTRODUCTION

Many young drivers are involved in crashes due to speeding. Some studies have used the Prototype Willingness Model (PWM) to explain the risky driving behavior of young people. However, many have measured PWM constructs in a manner inconsistent with its formulation. The PWM asserts that the social reaction pathway is underpinned by a heuristic comparison of oneself with a cognitive prototype of someone who engages in a risky behavior. This proposition has not been comprehensively examined and few PWM studies specifically examine social comparison. The current study investigates intentions, expectations, and willingness to speed by teen drivers using operationalizations of PWM constructs more aligned with their original conceptualizations. Additionally, the influence of dispositional social comparison tendency on the social reaction pathway is examined to further test the original propositions underpinning the PWM.

METHOD

Two hundred and eleven independently driving adolescents completed an online survey including items measuring PWM constructs and social comparison tendency. Hierarchical multiple regression was used to investigate the influence of perceived vulnerability, descriptive and injunctive norms, and prototypes on speeding intentions, expectations, and willingness. A moderation analysis examined the effect of social comparison tendency on the association between prototype perceptions and willingness.

RESULTS

The regression models explained substantial amounts of variance in intentions (39%), expectations (49%), and willingness (30%) to speed. There was no evidence that social comparison tendency influences the relationship between prototypes and willingness.

CONCLUSIONS

The PWM is useful for predicting teenage risky driving. More studies should confirm that social comparison tendency does not moderate the social reaction pathway. However, there may be need for further theoretical development of the PWM.

PRACTICAL APPLICATIONS

The study suggests that it may be possible to develop interventions to reduce adolescent driver speeding based on manipulation of PWM constructs such as speeding driver prototypes.

Acculturation and risk of traffic crashes in young Asian-born Australian drivers

The study examines changes over time in crash risk differences between young Australian drivers born in Asia and those born in Australia.Data from the 2003 baseline survey of the DRIVE cohort of 20 806 young drivers aged 17-24 years were linked to police, hospital and death data up until 2016. The association between country of birth and crash was investigated using flexible parametric survival models adjusted for confounders.Six months after baseline, the crash risk in Asian-born drivers was less than half that of their Australian-born counterparts (mean HR, MHR 0.41; 95% CI 0.29 to 0.57), only to increase steadily over time to resemble that of Australian-born drivers 13 years later (MHR 0.94; 95% CI 0.66 to 1.36).This is likely to be associated with acculturation and the adoption by young Asian-born Australian drivers of driving behaviour patterns akin to those born locally. This needs to be considered in future road safety campaigns.

Validation of the metacognitive skills questionnaire for drivers of vehicles (CHMC)

Introduction

Knowing what strategies users use in the difficult task of driving has always been a priority objective in road safety, given that road accidents are one of the main causes of death in the world, as confirmed by the WHO. In this sense, the metacognitive skills questionnaire for drivers was validated.

Methods

The questionnaire measures the metacongitive skills used by vehicle drivers at three times before, during and after driving.

Results

The results of both the exploratory factor analysis (0.92 alpha by Cronbach) and the confirmatory factor analysis show the existence of three factors, a planning factor, a self-realization factor, and a third evaluation factor.

Discussion

Finding these results together with a psychoeducational intervention design, will improve the behavior of drivers and in turn will serve to improve the training programs of the same to the different institutions and centers responsible for such training.

The Predictors of Unsafe Behaviors among Nuclear Power Plant Workers: An Investigation Integrating Personality, Cognitive and Attitudinal Factors

Unsafe behaviors, such as violations and human errors, have long been recognized as the main causes of accidents in nuclear power plants (NPPs). However, personal factors that influence unsafe behaviors among NPP workers have not been well examined, especially in an integrated model. This study proposes an integrated contextual mediated model to examine personality, cognitive and attitudinal predictors of unsafe behaviors among commissioning workers at NPPs. The model was verified using structural equation modeling technique with survey data from 177 commissioning workers in two Chinese NPPs. Results show that personality traits (i.e., conscientiousness, neuroticism, openness and agreeableness), executive function and safety attitudes exerted significant effects on unsafe behaviors. In addition, the effects of agreeableness and executive function were partly mediated by safety attitudes. Both conscientiousness and neuroticism indirectly influenced unsafe behaviors through the mediating role of executive function. The findings shed light on the design of evidence-based interventions for safety performance in NPPs.

An exploration of the role of driving experience on self-reported and real-world aberrant driving behaviors

A significant proportion of global road crashes are attributed to unsafe driving behaviors. The current study aimed to explore potential differences in driving behaviors across experienced and novice drivers using two separate approaches; a questionnaire study and an instrumented vehicle study (IVS). The analysis of 260 questionnaires and 1,372 traffic interactions within the IVS revelated that driving experience affects driving performance for different driving tasks. Factor analysis of the questionnaire data revealed the impact of driving errors, lapses, violations, and aggressive violations on the behavior of novice and experienced drivers. Behavioral models of novice and experienced drivers encountering other road users were determined using binary logistic regression. The results showed that novice drivers were more likely to engage in driving violations while experienced drivers were more likely to engage in aggressive violations. Unauthorized speeding, zigzag movements, using a mobile phone while driving, and unauthorized overtaking on roads were the most frequent driving violations by novice drivers. The most frequent aggressive violations by experienced drivers were tempting other drivers to create a race and chasing other drivers. These findings may be used as a framework to facilitate safer driving behaviors by reducing errors, lapses, violations and aggressive violations, and facilitating safety-promoting attitudes.

Road users' engagement in prosocial and altruistic behaviors: A systematic review

INTRODUCTION

Engagement in prosocial and altruistic on-road behaviors is a new area of research with potential safety benefits for road users. This paper systematically reviewed studies on road users' engagement in prosocial and altruistic behaviors to provide guidance regarding the next steps in this area of research, particularly to inform targeted interventions. The objective was to identify the types of on-road prosocial and altruistic behaviors that have been studied, and the factors associated with these behaviors. Road users were defined as drivers, passengers, or vulnerable road users (e.g., pedestrian, motorcyclists, and bicyclists).

METHOD

The database search was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRIMSA) guidelines and was conducted in June 2021. A total of 23,090 articles were identified in four databases including APA PsycINFO, Embase, Web of Science, and the Transportation Research Information Database. Eleven articles (13 studies) published between 2004 and 2021 met the inclusion criteria and were included in the review.

RESULTS

Six studies focused on intervening behaviors, specifically relating to passengers' willingness or intentions to speak up to a driver engaging in unsafe driving behaviors, four studies focused on drivers' yielding behaviors at crosswalks, and one study each focused on altruistic driving behaviors, prosocial driving behavior at long-wait stops, and prosocial behavior towards cyclists. Studies typically examined characteristics of the prosocial road user, including self-esteem, efficacy, and subjective norms, as well as contextual factors, such as other road users' behaviors and on-road messaging.

CONCLUSIONS

This review highlights specific factors that may predict road users' engagement in prosocial and altruistic on-road behaviors.

PRACTICAL APPLICATIONS

The outcomes from this review may be used to guide the development of future road safety public education messages designed to encourage greater participation in prosocial and altruistic on-road behaviors that act to benefit all road users.

The effect of risk perception and other psychological factors on mobile phone use while crossing the street among pedestrians

Pedestrians may be the most vulnerable group among road users, and mobile phone use while crossing the street is ubiquitous worldwide in this information era. However, previous studies have found that such distracting behaviors may increase the risk of injury and death. The present study primarily aimed to explore the effect of reinforcement sensitivity theory components (i.e., Behavioral Inhibition System (BIS), Behavioral Approach System (BAS)), risk perception, attitudes towards red light running, and fear of missing out (FoMO) on mobile phone use while crossing the street among pedestrians. Risk perception was measured in three ways (i.e., assessing the probability of a negative outcome (RP-Pro), judging the severity of the consequence (RP-Se), and evaluating the general riskiness of the behavior (RP-Ri)). An online questionnaire survey was conducted, and only valid responses (N = 425) were used for subsequent data analyses. The results indicated significant differences in the responses across the risk perception questions with different focuses. Participants who reported engaging in more distracted street-crossing (i.e., high-risk takers) perceived a significantly lower risk, and this difference did not depend on the focus of risk perception. Three path analysis models with differential risk perception constructs (RP-Pro, RP-Se, and RP-Ri) were developed to examine the relationship between risk perception and distracted street-crossing. The results suggest that the relationship between these two variables does not depend on the focus of the risk perception questions. Moreover, FoMO was a predictor of mobile phone use while crossing the street, while attitudes had both direct and indirect effects on behavior. BIS and BAS had the lowest total effect on mobile phone use among pedestrians. In particular, a direct association between BAS and distracted street-crossing was found only in the model in which risk perception was measured by judging the severity of crashes caused by mobile phone use distraction. This study may be meaningful for understanding the associations between psychological factors and mobile phone use among pedestrians. The implications of the findings for the development of safety interventions are discussed in this study.

The Prevalence of Several Risky Driving Behaviors and Associated Crash Risk in Adolescent: A Population-Based Study of Tuscany Region

Objectives: To evaluate the prevalence of numerous risky driving behaviors (RDBs) and the associated risk of road traffic accidents (RTA) in a population-based sample of adolescent drivers (14–19 years) of Tuscany, Italy.

Methods: The frequency of participation -by age and sex- often RDBs were investigated: Multivariable analyses were performed to evaluate the association between RDBs and the risk of RTA and severe RTA.

Results: 2,737 adolescents were included in the study. Talking to passenger(s), listening to loud music, speeding, and texting showed the highest weekly participation rates. For all the considered RDBs, the frequency of participation significantly increased with age. Males reported a significantly higher participation in speeding, DUI of alcohol or drugs; while females reported listening to loud music and talking to passenger(s) more frequently. All the considered RDBs were significantly associated with the risk of RTA and severe RTA.

Conclusion: The prevalence of RDBs and the associated risk of RTA largely varied in adolescents. Findings provide evidence for tailoring prevention interventions and suggest the need to include common- but traditionally overlooked- RDBs in road safety campaigns.

Occupational Traffic Accidents among Teachers in Spain

Occupational traffic accidents are a leading cause of injuries or deaths among workers. Teachers in Spain are especially concerned about the problem of commuting due to their particular labor conditions. Multiple work-related factors are associated with the risk and severity of occupational traffic-related motor vehicle crashes. The objective of this research is to analyze the influence of the variables associated with the severity of occupational traffic accidents among teachers in Spain. A logistic regression model was used for the current study. The odds ratio (OR) and confidence interval (CI) were calculated for the injured worker on a sample of 20,190 occupational traffic accidents suffered by teachers. The results showed that women, Spanish nationality, younger than 55 years, and those driving a car were more likely to suffer a light crash. In contrast, men, foreign nationalities, older than 55 years, and those riding a motorbike were more likely to suffer a serious crash. Based on these findings, motor vehicle safety training could be designed and adapted to the riskiest profiles. Additionally, effective mobility plans for commuting could help reduce work-related traffic accidents.

Risk perception and travel satisfaction associated with the use of public transport in the time of COVID-19. The case of Turin, Italy

The present study examined the association between risk perception and travel satisfaction related to the use of public transport (PT) during COVID-19 pandemic in Turin, Italy. A total of 448 PT users took part in an online survey conducted from January to March 2021. It investigated safety and risk perception related to the use of PT, and the users' subjective experience, measured through the Satisfaction with Travel Scale (STS). These perceptions were compared for three time scenarios: before the pandemic, during the pandemic, and in the future at the end of the pandemic emergency. Results showed that COVID-19 influenced respondents risk perception both during the pandemic and in their projections about the future, especially for females. The risk of contagion from COVID-19 is perceived as higher inside a PT vehicle than in the adjacent/waiting spaces. Regarding travel satisfaction, the overall scores of the STS indicated that the pandemic has impacted reported well-being while travelling, both now and in the future. The dimension of activation shifted towards the negative pole and did not indicate a return to risk perception before the pandemic levels at the end of the crisis (especially for females). Respondents reported a significant decrease in their level of pleasure and satisfaction during the pandemic, but expect that in the future these levels will go back to the levels previously experienced. Regarding travel satisfaction, PT users aged 36 to 50 years reported the highest level of satisfaction, while younger users (18 to 35 years) reported the lowest degree of satisfaction in all three time scenarios. Overall, the results clearly pinpoint that health-related perceived risk is becoming a key determinant for PT use. Within this context, different dimensions of travel satisfaction proved to be impacted differently by the pandemic, for both current and future scenarios.

Awareness level of safe driving knowledge and practice of specific population drivers: behavioral assessment and educational intervention

PURPOSE

This study aimed to assess car-driving behaviors and attitudes and to measure the changes in the knowledge and behavioral practices associated with road safety measures of 1333 randomly selected young-adult participants (aged 18-24 years) from Jazan University in Gizan city, Saudi Arabia.

METHODS

Data were collected using cross-sectional survey and quasi experimental pre- and post-evaluation educational intervention study including structured questionnaire and take-home educational material.

RESULTS

Results revealed that low compliance with the safety index significantly increased the risk of traffic injuries by 20% [OR = 0.80, 95% CI = (0.59-1.01)]. Whereas the medium category of the safety compliance index is significantly associated with an increasing number of injuries by 6% [OR = 0.94, 95% CI = (0.61-1.52)]. In contrast, both high and medium categories of risk behavior index increased the risk of traffic injuries [OR = 1.08, 95% CI = (0.82-1.43); OR = 0.80, 95% CI = (0.57-1.10), respectively]. Some improvement in risky behavioral practices was seen after the intervention including 'not playing loud music' [86.3%, (P = 0.05)], 'not using mobile phones' [89.4%, (P < 0.05)], and 'not using unprofessional checkups of the car' [71.5%, (P < 0.05)].

CONCLUSION

Ultimately, this unpleasant situation may recommend avoidance of these kinds of intermittent awareness programs; instead, embedding a continuous road safety learning within the life-long educational system as a better and more realistic intervention for reducing the number of road accidents and injuries. Further, establishing various modes of high-capacity city-link public transportation remains among the most recommended strategic and effective options that can curb road traffic injuries in the long run.

Driving offences and risk of subsequent crash in novice drivers: the DRIVE cohort study 12-year follow-up

Background

Penalties are a key component to improve road user safety, but previous studies suggested that they might not be successful in reducing crashing in offending drivers. However, these studies were not able to consider important crash risk factors in the analysis that might confound the results. Using data from a large prospective cohort study of young drivers in New South Wales, Australia, we explored if novice drivers with driving offences have a higher rates of car crash and if these differences are explained by established crash risk factors.

Methods

We used data from a 2003/2004 Australian survey of young drivers, linked to police reported offence and crash data, hospital data and deaths data up to 2016. We used Poisson regression models adjusted for confounders to estimate the association between driving offences during 2003–2006 with car crash during 2007–2016.

Results

The study cohort comprised 20 781 young drivers of whom 7860 drivers (37.8%) had at least one driving offence and 2487 (12.0%) were involved in at least one crash. After adjusting for confounders in the regression model, drivers with three or more driving offences had 2.25 (95% CI 1.98 to 2.57), 2.87 (95% CI 1.60 to 5.17) and 3.28 (95% CI 2.28 to 4.72) times higher rates of any crash, crashes that resulted in hospital admission or death and single vehicle crashes compared with drivers with no driving offences.

Conclusion

Measures that successfully mitigate the underlying risk factors for both, crashes and offences, have the potential to improve road safety.

A proportional odds model of risk behaviors associated with recurrent road traffic crashes among young adults in Kuwait

Background

The aims of this cross-sectional study were to i) assess one-year period prevalence of one, two, three or more road traffic crashes (RTCs) as an ordinal outcome and ii) identify the drivers’ characteristics associated with this ordinal outcome among young adult drivers with propensity to recurrent RTCs in Kuwait.

Methods

During December 2016, 1465 students, 17 years old or older from 15 colleges of Kuwait University participated in this cross-sectional study. A self-administered questionnaire was used for data collection. One-year period prevalence (95% confidence interval (CI)) of one, two, three or more RTCs was computed. Multivariable proportional odds model was used to identify the drivers’ attributes associated with the ordinal outcome.

Results

One-year period prevalence (%) of one, two and three or more RTCs respectively was 23.1 (95% CI: 21.2, 25.6), 10.9 (95% CI: 9.4, 12.6), and 4.6 (95% CI: 3.6, 5.9). Participants were significantly (p < 0.05) more likely to be in higher RTCs count category than their current or lower RCTs count, if they habitually violated speed limit (adjusted proportional odds ratio (pOR_adjusted) = 1.40; 95% Cl: 1.13, 1.75), ran through red lights (pOR_adjusted = 1.64; 95%CI: 1.30, 2.06), frequently (≥ 3) received multiple (> 3) speeding tickets (pOR_adjusted = 1.63; 95% CI: 1.12, 2.38), frequently (> 10 times) violated no-parking zone during the past year (pOR_adjusted = 1.64; 95% CI: 1.06, 2.54) or being a patient with epilepsy (pOR_adjusted = 4.37; 95% CI: 1.63, 11.70).

Conclusion

High one-year period prevalence of one, two and three or more RTCs was recorded. Targeted education based on identified drivers’ attributes and stern enforcement of traffic laws may reduce the recurrent RTCs incidence in this and other similar populations in the region.

Mental health and behavioural factors involved in road traffic crashes by young adults: analysis of the Raine Study

BACKGROUND

Road traffic crashes (RTC) are a leading cause of mortality and morbidity in young people. Severe mental health and behavioural conditions increase the likelihood of RTC, as do a range of driving-risk activities.

METHOD

We used data from the Raine Study, a prebirth cohort from Perth, Australia, to assess the relationship between measures of common mental health or behavioural conditions (Child Behavior Checklist Internalising and Externalising scores) at age 17 and subsequent RTC by 27 years, controlling for substance use and driving-risk activities.

RESULTS

By 27 years of age, of 937 participants, 386 (41.2%) reported zero crashes and 551 (58.8%) reported ≥1 crashes. In the baseline Poisson model, increased Externalising scores (eg, aggression and delinquency) were associated with increased RTC (incidence rate ratio (IRR)=1.02, 95% CI 1.01 to 1.02): increased Internalising scores (eg, anxiety and depression) were associated with fewer RTC (IRR=0.99, 95% CI 0.98 to 1.00). In the fully adjusted model, the mental health measures were not significant (Externalising IRR=1.01, 95% CI 0.99 to 1.02: Internalising IRR=0.99, 95% CI 0.99 to 1.00). Risky driver activities, such as falling asleep while driving (IRR=1.34), more frequent use of a hands-free telephone (IRR=1.35) and more frequent hostility towards other drivers (IRR=1.30) increased the rate of RTC.

CONCLUSION

Measures of mental health scores at age 17 were not predictive of subsequent RTC, after adjusting for measures of driving-risk activities. We need to better understand the determinants of externalising and risky driving behaviours if we are to address the increased risk of RTC.

Confirmation of a Reconceptualized Definition and Measure of Adolescent Risk Behavior: Adolescent Viewpoints

The goal of this project was to substantiate a more positive conceptualization of adolescent risk behavior and to compare adolescent viewpoints of risk behavior to the items on the Prosocial and Health Adolescent Risk Behavior Scale (PHARBS). A total of 57 high school students participated in the research. Researchers recruited students from an Advanced Placement (AP) Psychology course at a large Midwestern high school. The high school serves approximately 1,750 students in grades 9 through 12. The university Institutional Review Board approved the study procedures. Families provided informed consent, and students assented to participating in one of eight focus group discussions. The focus groups were audio taped, transcribed, and coded. Researchers analyzed the coded data using word count analysis. Students discussed prosocial risk behaviors in addition to health risk behaviors, providing support for the PHARBS and suggesting that adolescents view taking some risks as positive. A more positive conceptualization of risk behavior may better align with how adolescents view risk behavior. Researchers and clinicians might approach adolescent risk behavior measurement and research on the importance of understanding risk behaviors as a normal and potentially positive aspect of adolescent development.

Insights into Factors Affecting Traffic Accident Severity of Novice and Experienced Drivers: A Machine Learning Approach

Traffic accidents have significant financial and social impacts. Reducing the losses caused by traffic accidents has always been one of the most important issues. This paper presents an effort to investigate the factors affecting the accident severity of drivers with different driving experience. Special focus was placed on the combined effect of driving experience and age. Based on our dataset (traffic accidents that occurred between 2005 and 2021 in Shaanxi, China), CatBoost model was applied to deal with categorical feature, and SHAP (Shapley Additive exPlanations) model was used to interpret the output. Results show that accident cause, age, visibility, light condition, season, road alignment, and terrain are the key factors affecting accident severity for both novice and experienced drivers. Age has the opposite impact on fatal accident for novice and experienced drivers. Novice drivers younger than 30 or older than 55 are prone to suffer fatal accident, but for experienced drivers, the risk of fatal accident decreases when they are young and increases when they are old. These findings fill the research gap of the combined effect of driving experience and age on accident severity. Meanwhile, it can provide useful insights for practitioners to improve traffic safety for novice and experienced drivers.

Are you with me? The relevance of peers and other social resources for participation in the German voluntary accompanied-driving scheme

In Germany, "Accompanied Driving From Age 17" (AD17) is a voluntary alternative method of formal driver training that demonstrably reduces the crash risk for young novice drivers. This study aims to clarify whether social resources such as peers and novice driver-specific social capital play a role in participation in the AD17 program in Germany. In a nationwide random sample, 17-year-old accompanied novice drivers (n = 2,478) and 18-year-old novices (n = 925) who had conventionally acquired a driver's license were surveyed about their novice driver-specific social resources, using specially developed measurement tools such as a resource generator. The results revealed that the proportion of a young driver's friends currently taking or having taken part in AD17 is a major predictor for participation in AD17. To a lesser extent, family-based social capital positively correlates to voluntary participation in AD17. Future optimization efforts should therefore take into account providing support for family-based social resources, including the possibility of compensation. Additionally, considering the composition of the young driver's peer group is strongly recommended.

Risky youth to risky adults: Sustained increased risk of crash in the DRIVE study 13 years on

The objective of this study was to investigate if drivers who exhibit risky driving behaviours during youth (aged 17-24 years) have an increased risk of car crash up to 13 years later. We used data from the DRIVE study, a 2003/04 survey of 20,806 young novice drivers in New South Wales, Australia. The data were linked with police crash, hospital and deaths data up to 2016. We analysed differences in crash associated with 13 items of risky driving behaviours using negative binominal regression models adjusted for driver demographics, driving exposure and known crash risk factors. The items were summarised in one index and grouped into quintiles for the analysis. After adjusting for confounding, drivers of the third (RR 1.16, 95% CI 1.05-1.30), fourth (RR1.22, 95% CI1.09-1.36) and fifth quintile (RR 1.36, 95% CI 1.21-1.53) had higher crash rates compared to the lowest risk-takers. Drivers with the highest scores on the risky driving measure had higher rates of crash related hospital admission or death (RR 1.92, 95% CI 1.13-3.27), crashes in wet conditions (RR 1.35,95% CI 1.05-1.73), crashes in darkness (RR 1.55, 95% CI 1.25-1.93) and head-on crashes (RR 2.14, 95% CI 1.07-4.28), compared with drivers with the lowest scores. Novice adolescent drivers who reported high levels of risky driving when they first obtained a driver licence remained at increased risk of crash well into adulthood. Measures that successfully reduce early risky driving, have the potential to substantially reduce road crashes and transport related injuries and deaths over the lifespan.

Identifying objective behavioural measures of expert driver situation awareness

Efforts to reduce road crash rates depend on a clear understanding of the factors that contribute to driver risk. Not all drivers are at equivalent risk. It is critical to identify the factors that contribute to the development of expertise in the driving environment. The rapid development of a driver's situation awareness (SA) is central to the safe performance of the driving task. Therefore, SA must be clearly operationalised in order to better assess its role in the development of expertise. This study employs an existing scheme based on the Perceptual Cycle Model (PCM) used for post hoc incident analysis and adapts it to the driving context. We attempted to correlate performance on coded verbalisations indicative of SA with non-invasive objective gaze metrics. Gaze metrics and the verbal counts were shown to differentiate between both expert and experienced (non-expert) drivers, but these measures failed to correlate with one another. Findings indicate differences in the way expert and experienced drivers update their schema of the driving task, with equivalent effort required to do so. The novel adaptation demonstrated in this paper allows for a domain-specific assessment of SA which reliably differentiates between drivers of varying expertise levels. Although selected gaze metrics were shown to be inadequate predictors of SA, additional analysis demonstrated key differences in gaze content. Combined, these findings enhance an understanding of expert SA development contributing to reduced crash risk.

Risk perception and distraction engagement with smart devices in different types of walking environments

OBJECTIVE

The present study aims to: 1) determine whether the risks associated with distracted walking are influenced by walking environment by estimating the incidence and severity of phone-related distracted walking injuries; and 2) investigate individuals' perceptions of distracted walking risk within different walking environments to understand whether individuals are aware of the potential risks and the manner in which they understand those risks.

BACKGROUND

Distracted walking has been increasingly considered a public safety issue over the past few years. Research has focused on understanding the many factors that may influence pedestrians' engagement with smart-devices in order to address this issue. Risk perception may be one factor that guides engagement decisions but has not been widely studied in the context of distracted walking. Risk perception and the consequences of distracted walking are likely to be impacted by the walking environment, however, current research has typically focused on a subset of locations- streets and intersections.

METHOD

This study used the National Electronic Injury Surveillance System (NEISS), a national database of injuries due to consumer products, to understand the number and severity of distracted walking injuries and locations where it occurred. Phone related injury cases from 2011 to 2019 were extracted and categorized by two independent raters in terms of cause of injury and location of injury. An online questionnaire, N = 207, was used to understand how individuals' perception of risk in five different walking environments (intersections, stairwells, hallways, pedestrian plazas, and parking lots) were related to distraction engagement. Risk perception was measured through three different framings: risk of distracted walking (i.e., overall risk of engaging with the behavior), risk of collision and risk of falls (e.g., risks associated with the consequences of engaging with the behavior).

RESULTS

The NEISS analysis showed an upward trend of distracted walking injuries from 2011 (2184 incidents) to 2019 (4711 incidents) and that the number of injuries differed across the different walking environments. The survey results showed that individuals varied their risk perception levels (risk of distracted walking, collision, and falls) based on the walking environment and distraction status (distraction and no distraction). The relationship between overall risk of distracted walking and the risks of the different consequences (falls & collision) differed by walking environment. Finally, significant negative correlations were found between risk perception and actual distraction engagement for each location.

Assessing Willingness to Engage in Risky Driving Behaviour Using Naturalistic Driving Footage: The Role of Age and Gender

Young novice drivers are more prone than older drivers to get involved in a risky driving situation. Some young drivers underestimate risk while overestimating their driving abilities, increasing the likelihood of engaging in risky behaviour. Age and inexperience both influence risk estimation, though it is not clear which of these variables is more important. Can drivers’ willingness to engage in risky behaviour be assessed in a similar way to hazard perception skill using video-based risky situations? The aim of the current study was to assess whether a video-based tool could measure the willingness to participate in risky driving situations and whether it can distinguish between different types of risky driving scenarios across gender and driver age groups. We also explored the moderating effect of age and gender on drivers’ experience in relation to the risky manoeuvres and participants’ willingness to engage in risky situations. Participants were presented with naturalistic videos from the perspective of the driver that contained active risky situations (result of driver’s own actions) and were asked to make a decision regarding a potential action (to overtake a bus/bicycle or pass through an amber light) and whether they would accelerate at this point. Participants reported that they were more willing to accelerate and overtake cyclists and buses and less willing to pass a light in amber. Young drivers were more willing to both engage in the risky behaviours and accelerate than older drivers, with young males reporting higher scores than the other groups. Gender differences were observed, with males being more prone to overtake and pass through a light in amber than females; however, this difference was not observed for the intention to accelerate. All the above effects remained when we tested the impact of experience on decision making while controlling for age and gender, although driving experience was no longer significant. These results demonstrate that drivers’ intention to assume risk can indeed be measured in a similar video-based methodology to that used by hazard perception tests. The findings raise the possibility of assessing and training drivers on a wider range of safety-related behaviours.

Association between alcohol consumption, marijuana use and road traffic injuries among commercial motorcycle riders: A population-based, case-control study in Dares Salaam, Tanzania

BACKGROUND

Alcohol consumption and psychoactive drug use are well-recognised risk factors for road traffic injuries (RTIs). Both types of use may impair and affect drivers' performance. Yet, there is limited literature on their contribution to RTIs among commercial motorcycle riders, particularly in low- and middle-income settings. This study aimed to determine the association between alcohol consumption, marijuana use and RTIs among commercial motorcycle riders in the city of Dar es Salaam, Tanzania.

METHODS

We conducted a case-control study between July 2018 and March 2019. Cases (n = 164) were commercial motorcycle riders who had sustained an RTIs and attended at a hospital. Controls (n = 400) were commercial motorcycle riders who had not experienced an RTIs that led to hospital attendance during the past six months. Alcohol consumption was assessed using the Alcohol Use Disorder Identification (AUDIT) score, which classified participants as a non-drinker, normal drinker(1-7 scores) and risky drinker (scores ≥ 8). Marijuana use was assessed through self-reported use in the past year. We estimated odds ratios (ORs) using logistic regression adjusted for sociodemographic, driver-, and work-related factors.

RESULTS

Risky drinking was associated with close to six times the odds of RTIs compared to non-drinkers (OR = 5.98, 95% CI: 3.25 - 11.0). The association remained significant even after adjusting for sociodemographic, driving and work-related factors (OR = 2.41, 95% CI: 1.01 - 5.76). The crude odds ratios of RTIs were significantly higher among users of marijuana than non-users (OR = 2.33, 95% CI: 1.38 - 3.95). However, the association did not remain statistically significant after adjusting for confounders (OR = 1.11, 95% CI = 0.49-2.48).

CONCLUSION

Our findings confirm increased odds of RTIs among commercial motorcycle riders with risky drinking behaviour even after taking sociodemographic, driving and work-related factors into account. Unlike alcohol consumption the relationship between marijuana use and RTIs among commercial motorcycle riders was unclear. Since motorcycle riders are more susceptible to the effect of alcohol due to higher demands of balance and coordination and because commercial motorcyclist riders, in particular, they spend a considerable amount of time on the road, our results underscore the importance of addressing hazardous alcohol consumption and marijuana use in future prevention strategies to enhance road safety.

Identifying Interactive Factors That May Increase Crash Risk between Young Drivers and Trucks: A Narrative Review

Sharing the road with trucks is associated with increased risk of serious injury and death for passenger vehicle drivers. However, the onus for minimising risk lies not just with truck drivers; other drivers must understand the unique performance limitations of trucks associated with stopping distances, blind spots, and turning manoeuverability, so they can suitably act and react around trucks. Given the paucity of research aimed at understanding the specific crash risk vulnerability of young drivers around trucks, the authors employ a narrative review methodology that brings together evidence from both truck and young driver road safety research domains, as well as data regarding known crash risks for each driving cohort, to gain a comprehensive understanding of what young drivers are likely to know about heavy vehicle performance limitations, where there may be gaps in their understanding, and how this could potentially increase crash risk. We then review literature regarding the human factors affecting young drivers to understand how perceptual immaturity and engagement in risky driving behaviours are likely to compound risk regarding both the frequency and severity of collision between trucks and young drivers. Finally, we review current targeted educational initiatives and suggest that simply raising awareness of truck limitations is insufficient. We propose that further research is needed to ensure initiatives aimed at increasing young driver awareness of trucks and truck safety are evidence-based, undergo rigorous evaluation, and are delivered in a way that aims to (i) increase young driver risk perception skills, and (ii) reduce risky driving behaviour around trucks.

Are there sex differences in crash and crash-related injury between men and women? A 13-year cohort study of young drivers in Australia

BACKGROUND

Young men have long been known to be disproportionately impacted by road crash and crash-related injury compared to young women and older drivers. However, there is limited insight into how sex differences in crash and crash-related injury changes over time as men and women get older and gain more driving experience. To explore sex differences in crash and crash-related injury, we undertook a sex disaggregated analysis in a large longitudinal cohort of over 20,000 young drivers in New South Wales, Australia, for up to 13 years after they first attained their independent car driver licence.

METHODS

DRIVE Study survey data from 2003-04 were linked with police, hospital and deaths data up to 2016. Sex differences were analysed using cumulative incidence curves investigating time to first crash and in negative binominal regression models adjusted for driver demographics and crash risk factors.

RESULTS

After adjusting for demographics and driving exposure, compared with women, men had 1.25 (95% CI 1.18-1.33), 2.07 (1.75-2.45), 1.28 (95% CI 1.13-1.46), 1.32 (95% CI 1.17-1.50) and 1.59 (95% CI 1.43-1.78) times higher rates of any crash, single vehicle crash, crash on streets with a speed limit of 80 km/h or above, crash in wet conditions and crash in the dark, respectively. By contrast, men were less likely to be involved in crashes that resulted in hospitalisation compared to women 0.73 (95% CI 0.55-0.96).

CONCLUSIONS

Young men are at increased risk of crash, and this risk persists as they get older and gain more driving experience. Despite lower risk of crash, women are at higher risk of crash related injury requiring hospitalisation. These differences in men's and women's risk of crash and injury signal the need for better understanding of how sex and/or gender may contribute to risk of crash and injury across the life-course.

Integration of Theory of Planned Behavior, Sensation Seeking, and Risk Perception to Explain the Risky Driving Behavior of Truck Drivers

Truck-related accidents account for a substantial portion of traffic accidents. Risky driving behavior is a main cause of traffic accidents. Understanding the risky driving behavior of truck drivers is therefore important in reducing truck-related accidents. This study aimed to propose and validate a research model that integrated a theory of planned behavior, sensation seeking, and risk perception to explain the risky driving behavior of truck drivers. A total of 471 valid data were collected from Chinese truck drivers in this study. Structural equation modeling and mediation analysis were used to examine the influence of factors in the research model on the risky driving behavior of truck drivers. Results showed that sensation seeking and risk perception of truck drivers were influential in shaping their intention to drive riskily with the mediation of attitude toward risky driving. Risk perception and attitude toward risky driving also had a negative influence and positive influence on the intention, respectively. On the basis of the findings, practical recommendations for reducing the risky driving behavior of truck drivers were provided for concerned parties.

Can the effectiveness of driver education be sustained? Effects of driving breaks on novice drivers' traffic violations

Prior studies have shown that driver education can reduce traffic violations. However, few studies have examined how driving break between driver education and owning a car influences novice drivers' traffic violations. The main objective of this study is to examine the association between driving break and traffic violations. Data from 356,786 drivers with a total of 978,855 violations during their first year of driving were extracted from the Wuhan Traffic Management Bureau. Specifically, we focused on three outcome measures: time length of first traffic violation, severity of first traffic violation, and number of traffic violations in the first year of driving. The results indicated that driving break accelerated the occurrence of the first traffic violation but reduced its severity. The results also showed that driving break was significantly related to an increase in traffic violations during the first year of driving. The detrimental effects of driving break on the time length of first traffic violation and the number of traffic violations in the first year of driving were attenuated in older age groups. The inhibitory effect of driving break on serious violations was stronger in older age groups. The findings support that the effectiveness of driver education will fade over time if one does not consolidate the learned knowledge and skills through practice.

Association of Environmental Risk Factors and Personality Traits With Risky Driving Behaviors in a Sample of Young Adults From Saudi Arabia

Road traffic accidents represent a serious problem in the Kingdom of Saudi Arabia (KSA), with rates of such accidents far exceeding the rates in developed nations. Even so, there remains relatively little knowledge regarding the driving behaviors among Saudi Arabians. The current study sought to address this gap in the literature by examining the environmental and trait-based contributors to risky driving behaviors among male and female drivers in the KSA. To do so, a sample of college students from a large university in the KSA was analyzed. The results revealed that delinquent peers, low levels of self-control, and higher levels of driving anger were associated with involvement in risky driving behaviors for both male and female drivers. Understanding the interconnections among peers, self-control, anger, and risky driving behaviors may provide some insight into how to reduce risky driving behaviors. Focusing on ways to reduce exposure to risk factors for risky driving behaviors may be one strategy for reducing these types of driving behaviors.

Socioeconomic status during youth and risk of car crash during adulthood. Findings from the DRIVE cohort study

BACKGROUND

Young drivers of low socioeconomic status (SES) have a disproportionally high risk of crashing compared with their more affluent counterparts. Little is known if this risk persists into adulthood and if it differs between men and women.

METHODS

We used data from a 2003/2004 Australian survey of young drivers (n=20 806), which included measures of drivers' demographics and established crash risk factors. These data were linked to police-reported crash, hospital and death data up to 2016. We used negative binomial regression models to estimate the association between participants' SES, with car crash.

RESULTS

After adjusting for confounding, drivers of lowest SES had 1.30 (95% CI 1.20 to 1.42), 1.90 (95% CI 1.25 to 2.88), 3.09 (95% CI 2.41 to 3.95) and 2.28 (95% CI 1.85 to 2.82) times higher rate of crash, crash-related hospitalisation, crash in country areas and crash on streets with a speed limit of 80 km/hour or above compared with drivers of highest SES, respectively. For single-vehicle crashes, women in the lowest SES groups had 2.88 (95% CI 1.83 to 4.54) times higher rate of crash compared with those in the highest SES group, but no differences were observed for men from different SES groups.

CONCLUSION

Young drivers who lived in areas of low SES at the time of the survey had a sustained increased risk of crash over the following 13 years compared with drivers from the most affluent areas. Our findings suggest that in addition to traditional measures, road transport injury prevention needs to consider the wider social determinants of health.

Keeping Safe on Australian Roads: Overview of Key Determinants of Risky Driving, Passenger Injury, and Fatalities for Indigenous Populations

Social and cultural barriers associated with inequitable access to driver licensing and associated road safety education, as well as socioeconomic issues that preclude ongoing vehicle maintenance and registration, result in unsafe in-car behaviours such as passenger overcrowding. This in turn is associated with improper seatbelt usage, noncompliance with child restraint mandates, and driver distraction. For example, in Australia, where seatbelt use is mandatory, Indigenous road users are three times less likely to wear seatbelts than non-Indigenous road users. This is associated with a disproportionately high fatality rate for Indigenous drivers and passengers; 21% of Indigenous motor-vehicle occupants killed on Australian roads were not wearing a seatbelt at the time of impact. In addition, inequitable access to driver licensing instruction due to financial and cultural barriers results in Indigenous learner drivers having limited access to qualified mentors and instructors. A consequent lack of road safety instruction results in a normalising of risky driving behaviours, perpetuated through successive generations of drivers. Moreover, culturally biased driver instruction manuals, which are contextualised within an English written-language learning framework, fail to accommodate the learning needs of Indigenous peoples who may encounter difficulties with English literacy. This results in difficulty understanding the fundamental road rules, which in turn makes it difficult for young drivers to develop and sustain safe in-car behaviours. This paper considers the literature regarding road safety for Indigenous road users and critically evaluates strategies and policies that have been advanced to protect Indigenous drivers. Novel solutions to increasing road safety rule compliance are proposed, particularly in relation to passenger safety, which are uniquely embedded within Indigenous ways of knowing, being, and doing. Safe driving practices have crucial health and social implications for Indigenous communities by allowing more Indigenous people to participate in work and education opportunities, access healthcare, maintain cultural commitments, and engage with families and friends, qualities which are essential for ongoing health and wellbeing.

A state-of-the-art review of factors that predict mortality among traumatic injury patients following a road traffic crash

BACKGROUND

Traffic related injuries are a major public health problem worldwide with millions of people dying every year. The objective of this state-of-the-art review was to identify the factors reported in the literature as being associated with mortality for trauma patients following road traffic crashes.

METHOD

A systematic search was undertaken of PubMed/MEDLINE, EMBASE, CINAHL, Web of Science, and Cochrane Library databases to identify articles published in the past two decades (2000-2020). Of 8257 records, 4507 remained for title, abstract and full text screening after duplicates were removed. The level of evidence of selected studies was assessed using The National Health and Medical Research Council (NHMRC) guideline.

RESULTS

This review included eighty primary research studies examining mortality risk factors following a road traffic crash. The study identified factors in five categories; (i) demographic factors; (ii) behavioural factors; (iii) crash characteristics; (iv) environmental and timing factors; (v) injury severity and pre-injury/condition. The primary studies are summarised in a matrix. Included studies included level II to level IV levels of evidence based on the NHMRC criteria.

CONCLUSION

This study shows that there are a large number of factors associated with increased risk of mortality following diverse types of traffic crashes. Understanding these wide-ranging factors can strengthen injury and mortality prevention by guiding decision makers about where to focus strategy implementation.

Alcohol- and speeding-related fatal crashes among novice drivers age 18-20 not fully licensed at the time of the crash

INTRODUCTION

Some teens may intentionally delay their driving licensure until age 18 or later, thereby skipping the learning and driver safety benefits provided by graduated driver licensing (GDL) programs. Delaying driving initiation could elevate teen crash risk once they begin driving. This study compares the prevalence of alcohol use and speeding among individuals aged 18-20 y/o who were not fully licensed drivers (NFLD) at the time of the fatal crash with that of their fully licensed counterparts (FLD).

MATERIALS AND METHODS

Data came from the 2010-2017 Fatality Analysis Reporting System (FARS). Census data were added to measure mean household income at drivers' zip code. Bivariate (chi-square) and logistic regressions were used to assess the likelihood young drivers were alcohol-positive and/or speeding at the time of the crash as a function of drivers' license status, demographic, socioeconomic, and the strength of GDL programs in the state.

RESULTS

Compared with females and White drivers age 18-20 y/o, males, Latino, and Black drivers were more likely to be NFLD at the time of the fatal crash (p < .0001). Living in zip codes with low median household income (p < .001) and the strength of GDL restrictions (p < .0001) were associated with individuals being NFLD at the time of the fatal crash. Alcohol-related fatal crashes were more prevalent among NFLD than FLD (p < .02).

CONCLUSIONS

The study provides indirect evidence suggesting that alcohol use may be more detrimental for NFLD than for FLD.

Age-related differences in driving behaviors among non-professional drivers in Egypt

Purpose

This study aimed to investigate whether young and old non-professional drivers in South Egypt have aberrant driving behaviors compared with their middle-aged counterparts.

Materials and methods

In this cross-sectional study, a total of 1764 non-professional drivers aged ≥ 19 years, residing in Beni-Suef in South Egypt, and having ≥ one year of driving experience were randomly selected. All drivers were asked to fill out a self-administered questionnaire, including personal information, driving habits, and the Arabic version of the Driver Behavior Questionnaire which evaluates driving violations, errors, and lapses.

Results

This study included 560 young drivers (19–25 years), 850 middle-aged drivers (26–59 years), and 354 old drivers (≥ 60 years). Compared with middle-aged drivers, young drivers reported more non-use of the seatbelt, eating while driving, and driving while feeling drowsy. Old drivers, in contrast, showed more careful driving behaviors including fewer violations, errors, and lapses and less likelihood of driving while feeling sleepy.

Conclusion

This study supports the conception that young drivers pose less careful driving habits. Initiating educational programs targeting young drivers to improve their driving habits and create a traffic safety culture in Egypt is highly warranted.

The fast and the furious-An experimental investigation of the pace of life and risky speed choice in traffic

Despite discernible improvements in the last decades, speeding is still a pertinent problem for road safety, fuel efficiency, and greenhouse gas mitigation. In order to understand individual speeding decisions, we need a better understanding of who speeds. In our paper, we test whether individuals' general pace of life is associated with speeding decisions. We use a novel speed-choice experiment that confronts participants with a scenario in which they repeatedly decide between driving fast or slow. This decision is associated with different accident risks. Before the experiment, each participant's pace of life was measured. Our results show that individuals with a slower pace of life are more likely to choose slow in the experiment and are also more likely to switch to slow, even when they had success by driving fast in the preliminary round. Therefore, individuals' pace of life may contribute to our understanding of speeding.

Introducing a multi-variate classification method: Risky driving acceptance among different heterogeneous driver sub-cultures

INTRODUCTION

Heterogeneous driving populations with many different origins are likely to have various sub-cultures that comprise of drivers with shared driver characteristics, most likely with dissimilar traffic safety cultures. An innovative methodology in traffic safety research is introduced which is beneficial for large datasets with multiple variables, making it useful for the multi-variate classification of drivers, driving attitudes and/or (risky) driving behaviours.

METHOD

With the application of multidimensional scaling analysis (MDS), this study explores traffic safety culture in the State of Qatar using a questionnaire and investigates the similarity patterns between the questionnaire items, aiming to classify attitudes towards risky driving behaviours into themes. MDS is subsequently applied to classify drivers within a heterogeneous driving sample into sub-cultures with shared driver characteristics and different risky driving attitudes.

RESULTS

Results show that acceptance of speeding is highest among the young Arabic students and acceptance of distraction and drivers' negligence such as phone use and not wearing a seatbelt is highest among male Arab drivers. Acceptance of extreme risk-taking like intoxicated driving and red-light running is highest among South-Asian business drivers.

CONCLUSION

It is important and practical to understand risky behavioural habits among sub-cultures and thereby focussing on groups of drivers instead of individuals, because groups are easier to approach and drivers within sub-cultures are found to influence each other. By indicating which groups of drivers are most likely to perform specific risky driving themes, it is possible to target these groups and effectively emphasise certain subsets of risky driving behaviours during training or traffic safety education. Practical Applications: This study provides guidance for the improvement of driver education and targeted traffic safety awareness campaigns, intending to make changes to attitudes and habits within specific driver sub-cultures with the aim to improve traffic safety on the longer term.

An Assessment of Age and Gender Characteristics of Mixed Traffic with Autonomous and Manual Vehicles: A Cellular Automata Approach

Traffic congestion has become increasingly prevalent in many urban areas, and researchers are continuously looking into new ways to resolve this pertinent issue. Autonomous vehicles are one of the technologies expected to revolutionize transportation systems. To this very day, there are limited studies focused on the impact of autonomous vehicles in heterogeneous traffic flow in terms of different driving modes (manual and self-driving). Autonomous vehicles in the near future will be running parallel with manual vehicles, and drivers will have different characteristics and attributes. Previous studies that have focused on the impact of autonomous vehicles in these conditions are scarce. This paper proposes a new cellular automata model to address this issue, where different autonomous vehicles (cars and buses) and manual vehicles (cars and buses) are compared in terms of fundamental traffic parameters. Manual cars are further divided into subcategories on the basis of age groups and gender. Each category has its own distinct attributes, which make it different from the others. This is done in order to obtain a simulation as close as possible to a real-world scenario. Furthermore, different lane-changing behavior patterns have been modeled for autonomous and manual vehicles. Subsequently, different scenarios with different compositions are simulated to investigate the impact of autonomous vehicles on traffic flow in heterogeneous conditions. The results suggest that autonomous vehicles can raise the flow rate of any network considerably despite the running heterogeneous traffic flow.

How many collateral casualties are associated with road users responsible for road crashes?

OBJECTIVE

To estimate the number of collateral casualties associated with road users considered responsible for a road crash.

METHOD

We analyzed the case series comprising all 790,435 road users involved in road crashes with victims in Spain from 2009 to 2013, recorded in a nationwide police-based registry. For each road user assumed to be responsible for a crash, we collected information relative to health outcomes in other people involved in it, and obtained the total number of collateral casualties per 100 road users considered responsible for the crash. We then estimated the strength of associations between sex, age and the number of collateral casualties generated by car drivers considered responsible for the crash, and calculated rate ratios and corresponding 95% confidence intervals.

RESULTS

Pedestrians responsible for crashes were associated with the lowest number of collateral casualties (13.1/100), whereas the highest number (153/100) was observed for bus drivers responsible for crashes. Car drivers were associated with 104.4/100 collateral casualties. The youngest and the oldest car drivers responsible for crashes were associated with 33% and 41% more deaths, respectively, than the 25-34 year old group. Male drivers were associated with 22% more collateral casualties than female drivers.

CONCLUSIONS

Regardless of the type of road user who was responsible for a road crash, their active contribution to the crash led to an additional number of collateral casualties in other, non-responsible users. The number and severity of collateral casualties were related to the type of vehicle and the number of people involved. These results are potentially useful to support the need to promote safer driver practices among subgroups of high-risk drivers.

Exploring microscopic driving volatility in naturalistic driving environment prior to involvement in safety critical events-Concept of event-based driving volatility

The sequence of instantaneous driving decisions and its variations, known as driving volatility, prior to involvement in safety critical events can be a leading indicator of safety. This study focuses on the component of "driving volatility matrix" related to specific normal and safety-critical events, named "event-based volatility." The research issue is characterizing volatility in instantaneous driving decisions in the longitudinal and lateral directions, and how it varies across drivers involved in normal driving, crash, and/or near-crash events. To explore the issue, a rigorous quasi-experimental study design is adopted to help compare driving behaviors in normal vs unsafe outcomes. Using a unique real-world naturalistic driving database from the 2^nd Strategic Highway Research Program (SHRP), a test set of 9593 driving events featuring 2.2 million temporal samples of real-world driving are analyzed. This study features a plethora of kinematic sensors, video, and radar spatiotemporal data about vehicle movement and therefore offers the opportunity to initiate such exploration. By using information related to longitudinal and lateral accelerations and vehicular jerk, 24 different aggregate and segmented measures of driving volatility are proposed that captures variations in extreme instantaneous driving decisions. In doing so, careful attention is given to the issue of intentional vs. unintentional volatility. The volatility indices, as leading indicators of near-crash and crash events, are then linked with safety critical events, crash propensity, and other event specific explanatory variables. Owing to the presence of unobserved heterogeneity and omitted variable bias, fixed- and random-parameter discrete choice models are developed that relate crash propensity to unintentional driving volatility and other factors. Statistically significant evidence is found that driver volatilities in near-crash and crash events are significantly greater than volatility in normal driving events. After controlling for traffic, roadway, and unobserved factors, the results suggest that greater intentional volatility increases the likelihood of both crash and near-crash events. A one-unit increase in intentional volatility is associated with positive vehicular jerk in longitudinal direction increases the chance of crash and near-crash outcome by 15.79 and 12.52 percentage points, respectively. Importantly, intentional volatility in positive vehicular jerk in lateral direction has more negative consequences than intentional volatility in positive vehicular jerk in longitudinal direction. Compared to acceleration/deceleration, vehicular jerk can better characterize the volatility in microscopic instantaneous driving decisions prior to involvement in safety critical events. Finally, the magnitudes of correlations exhibit significant heterogeneity, and that accounting for the heterogeneous effects in the modeling framework can provide more reliable and accurate results. The study demonstrates the value of quasi-experimental study design and big data analytics for understanding extreme driving behaviors in safe vs. unsafe driving outcomes.

The effectiveness and influencing factors of a penalty point system in China from the perspective of risky driving behaviors

Many countries have adopted penalty point systems (PPS) to deter drivers from breaking traffic laws. To investigate the effectiveness of PPS on reducing illegal driving behavior, this study analyzed traffic violation data of a Chinese city in 2017. This analysis revealed that 1) risky driving behaviors (RDBs) are among the main causes of traffic violations and 2) almost half of the offenders with multiple violations committed the same traffic rule violations more than once. To further explain these phenomena, a survey in another Chinese city-Tianjin-was conducted. Considering the fact that most types of RDBs will, if detected by the authorities, result in traffic violations, the present study investigated the influence of a PPS, represented by penalty experience (PE), on traffic violation behaviors from the perspective of RDBs. Moreover, the impact of cognitive processes on driving behaviors via self-efficacy was considered. We found that drivers' PE is positively associated with their RDBs and that offenders with more PE are more inclined to commit RDBs; we further observed that self-efficacy partially mediates the relationship between PE and RDBs. However, no gender difference in the effect of PE on RDBs was discovered, thus indicating that PE has the same effect on male and female drivers. Based on these findings, some strategies are suggested (such as the Increasing Block Penalty Points Policy) to improve the effectiveness of the PPS.