Safety of micro-mobility: Riders’ psychological factors and risky behaviors of cargo TTWs in China

Cargo two- or three-wheeled vehicles (TTWs), as a new form of micro-mobility, have become a popular mode of urban cargo transportation in China. Cargo TTW riders’ psychological factors and risky behaviors lead to a number of accidents. A questionnaire is designed by comprehensively considering these factors and behaviors of cargo TTW riders that includes eleven risk factors to quantitatively analyze the risky behaviors based on structural equation modeling (SEM). One thousand three hundred nineteen participants reported using cargo TTWs on a questionnaire distributed across the country. The characteristics of riding behavior data are analyzed to verify the three-layer risk theoretical framework of “Psychological factors (Personality traits/specific factors) - Psychological acceptability of risks (confidence/perception/attitude) - Risky behaviors”. The results show that anger has a strong direct effect on riding violations, while normlessness and altruism have a direct effect on riding errors. Workload has a weak but direct effect on risky behaviors, and riding feedback has a weak and mixed effect. In addition, high-risk groups are identified by analysis of variance (ANOVA) with rider population attributes. These quantitative analyses can help guide safety countermeasures to mitigate accidents involving cargo TTWs.     

Correlations of multiple rider behaviors with self-reported attitudes,perspectives on traffic rule strictness and social desirability

Powered Two-Wheeler (PTW) riders constitute a very vulnerable group of road users, while riding a PTW is considerably more dangerous than using any other motor vehicle. Behavioral issues have been identified major moderating factors to PTW crashes, as riders display great variability in their attitudes towards road safety. Τhe aim of this paper is to present a thorough, overarching structure of relationships correlating various unsafe stated PTW rider behaviors (riding after alcohol consumption, speeding, helmet use and texting) with several self-reported attitude parameters and factors regarding rider perspectives on traffic rule strictness and social desirability. A structural equation model (SEM) was developed using data from the ESRA2 survey, which provided a broad sample encompassing 5,958 respondent riders from 32 countries. Numerous statistical relationships were discovered and quantified correlating the four examined unsafe rider behaviors with eight latent unobserved variables. All covariances between unsafe behaviors were found to be positive and statistically significant, indicating that a rider who will engage more frequently in every single one of the four examined unsafe riding behaviors is more likely to also engage in all the others as well.     

Self-reported anger among ordinary and delivery electric bike riders in China: A comparison based on the cycling anger scale

As vulnerable traffic participants, electric bike (EB) riders have suffered from high collision casualties in recent years. Road user anger has been shown to affect riding behavior and lead to traffic accidents. Besides, studies have highlighted that there may be differences in road user anger in driving different vehicles due to varying perceptions of the relative vulnerability of vehicle type characteristics (control performance and cognitive processes). However, current road user anger investigations for two-wheelers have focused mainly on conventional cyclists, and little attention has been paid to e-bike riders, especially with the emerging group of delivery e-bike (DEB) riders. This study aims to develop a Cycling Anger Scale (CAS) for EB riders based on the Cycling Anger Scale and explore the road user anger experienced by EB riders and the differences between ordinary and delivery EB riders. The survey was conducted in Nanjing, China, and collected from 281 Ordinary EB (OEB) riders and 268 DEB riders. Exploratory factor analysis and confirmatory factor analysis are conducted to determine the revised four-factor structure of the 14-item CAS for EB. The results show that the scores of police interaction and cyclist interaction on the CAS subscales are significantly different between the OEB and DEB groups. The police interaction is the largest source of anger for both groups. Besides, the aggressive riding behaviors are significantly correlated with riding anger, which can be predicted by different aspects of riding anger for the two types of EB riders. This study provides a theoretical basis for designing intervention measures and safety education programs to enhance EB riders’ road safety.     

Unsafety on two wheels,or social prejudice? Proxying behavioral reports on bicycle and e-scooter riding safety – A mixed-methods study

The use of non-motorized transportation and micro-mobility is increasing in many cities. Bicycle riding and e-scooter use are now more common and affordable than ever. However, users of these devices face certain key issues. These include their own risky behaviors as well as involvement in conflicts with other road users. Self-report data may not adequately capture these behaviors and interactions. Despite this, more objective data (i.e., how third parties perceive these users’ road behaviors) is scarce. Aims: This study aimed to understand whether e-scooter riders have comparable or different riding behaviors than cyclists. This was investigated using a mixed-method study. Methods: This paper is divided into two sub-studies. In Study 1, 950 Spanish non-cyclists and non-e-scooter riders (mean age 31.98 ± 13.27 years; 55.3% female) provided external ratings (proxies) regarding the perceived behaviors of bicycle and e-scooter riders. In Study 2, collective Rapid Assessment Processes (RAPs; n = 23) were used to develop qualitative configurations of some of the key risky behaviors highlighted in Study 1. Results: There were significant differences in the perceived errors and violations rated by proxies for both types of riders (with e-scooter riders perceived as having higher rates of risky behaviors). However, there were also structural differences in the effects of external raters’ risk perceptions, traffic rule knowledge, and traffic incidents with two-wheeled riders on how they rated the behaviors. Conclusion: The results of both studies suggest that external raters’ perceptions provide further understanding of the causes, dynamics, and conflicts related to road behaviors performed by certain groups of road users. This is particularly apparent when there is no clear legislation and information on safe riding in urban areas. In this sense, improving infrastructure could promote safer interactions. Finally, road safety education could focus on promoting safer practices and interactions in order to improve how others perceive riders’ behavior.     

Exploring psychological factors of mobile phone use while riding among motorcyclists in Vietnam

Mobile phone use while riding is one of the five most common risky behaviors of motorcycle riders in Vietnam. This study investigated motorcyclist’s mobile phone use while riding intention and behavior based on the extended Theory of Planned Behavior (TPB) framework. Based on this framework, attitude, subjective norm, perceived behavioral control, habits, and health motivation underlying the rider’s mobile phone use while riding intentions and behavior were included in a questionnaire and captured by direct and indirect measurements. Small-displacement motorcycle riders (N = 291) completed the extended TPB based questionnaire. An exploratory factor analysis technique identified the selected factors (e.g., attitude, habit, etc.). Moreover, Structural Equation Modeling results showed moderate to good fits to the observed data. Therefore, the results supported the utilization of extended TPB framework in identifying factors of mobile phone use while riding intention and behavior. Specifically, negative attitude, perceived behavioral control, and mobile phone use while riding habit related to the intention to use a mobile phone while riding of small-displacement motorcyclists. Meanwhile, habit and behavioral intention related to the behavior to use a mobile phone while riding of small-displacement motorcycle riders. Especially, the correlation between behavioral intention and self-reported behavior was very strong. This finding embraced previous research indicating that intention was a major motivational component of behavior. Based on the results, safety intervention implications for small-displacement motorcycle riders were discussed.     

Characteristics of unsafe events involving a motor vehicle for group riders in Western Australia: A naturalistic study

Little is known about the safety issues affecting non-professional group riders. This study aimed to identify the most common unsafe events involving a motor vehicle that occurred while group riding, describe their characteristics and suggest potential preventative measures. A naturalistic study collected video footage from cameras attached to the bicycles of group riders who rode on-road for training, fitness or recreation in Perth, Western Australia. Fifty-two riders from 40 different riding groups, recorded footage of 126 group riding trips, resulting in 135 h of video. A total of 108 unsafe events (‘near-crashes/ crash relevant events’ and ‘close passing only events’) involving the group riders and a motor vehicle were observed. The most common type of unsafe event involved a motor vehicle attempting to pass/ overtake the group (65.7%). For 39.4% of the passing events, the presence of road infrastructure ahead (e.g. roundabout, traffic island) prevented safe passing and led to an unsafe event. Motorists were at fault for 83.3% of all unsafe events and reckless behaviour by the motorist was observed for 13.3% of these at-fault events. Aggressive communication on the part of the motorist or rider/s was observed for 15% of all unsafe events. This study highlighted that motorists were at fault for the majority of unsafe events involving group riders but only a small proportion involved reckless behaviour. Further research should examine the effectiveness of motorist education as well as infrastructure modifications on popular group riding routes, for reducing unsafe events involving group riders.     

Motorcyclist accident involvement by age,gender, and risky behaviors in Taipei,Taiwan

This study aimed to investigate the relationship between age, gender, and risky behaviors of motorcyclists and their involvement in accidents. The results of a self-reported survey on motorcyclist behavior in the Taipei metropolitan area were analyzed. A two-step cluster analysis was used to classify motorcyclist behavior to different levels of risk within each of three risky behavior types. This was used to examine the regression relationship with accident risk. The results indicated that young and male riders were more likely to disobey traffic regulations, and that young riders also had a higher tendency towards negligence of potential risk and motorcycle safety checks. These “error” and “violation” behaviors increased the likelihood of an accident. However, in addition to these risks, there are additional factors that put young riders, particularly young female riders with the least riding experience, at increased risk of having an accident. These additional factors may be poor driving skills and less experience, all of which may result from the slack motorcycle licensing system. There should be increased emphasis on the necessity of providing appropriate training and a lower risk environment for novice riders.     

An observational study on the risk behaviors of electric bicycle riders performing meal delivery at urban intersections in China

Along with the increase of online catering, the number of accidents involved meal delivery riders increases dramatically in China, and their riding behavior might contribute to fatal accidents. We conducted a field observation study to investigate the risk behavior characteristics of meal delivery couriers riding electric bicycles at urban intersections in China. We selected 4 typical signalized urban intersections in Beijing, and video recorded traffic behaviors of meal delivery riders for eight hours. A total of 1891 couriers crossing intersections on electric bicycles were observed, categorized, and analyzed. The results showed that red-light-running and riding-on-the-motor-lane were the most frequent risky traffic behaviors. The ratios of risk behaviors from delivery couriers were almost all significantly higher than those of normal riders (p < 0.05). There was no significant difference in these risk behaviors for riders across different platforms. The findings provide valuable insights for understanding couriers’ risk behaviors at intersections and make useful suggestions for improving traffic safety.     

Risky riding behaviours among motorcyclists in Malaysia: A roadside survey

Motorcyclists are over-represented in fatal crashes in Low- and Middle-Income Countries (LMICs). In Malaysia, motorcyclists comprise about 60% of all fatalities in road crashes. However, the prevalence and determinants of risky riding behaviours have been rarely studied in the country. This study aims to investigate motorcycle-related risky riding behaviours at signalised intersections. A total of 72,377 observations were made during six days at six different signalised intersections in Terengganu, Malaysia. Four risky riding behaviours were observed together (i.e. helmet non-use, red-light running, mobile phone use, turn signal neglect) along with additional demographic and contextual factors. The most prevalent risky riding behaviour was turn signal neglect (29.7% of all observations), and the least prevalent was mobile phone while riding (0.2% of all observations). Four logistic regressions were fitted to predict the four risky riding behaviours using the demographic and contextual explanatory factors. The results suggest that helmet non-use increases among female riders, riders wearing industrial uniforms, carrying passengers, riding during the weekend, during off-peak hours, during clear weather, at T-junctions, on multi-lane roads, and on minor road approaches. Red light running increases among female riders, riders wearing industrial uniforms, carrying passengers, during clear weather, at T-junctions, on multi-lane roads, and on major road approaches. Mobile phone use increases among female riders, riders wearing industrial uniforms, carrying passengers, and at cross-junctions. Turn signal neglect increases among male riders, riders not wearing industrial uniforms, solo riders, on weekends, during off-peak hours, during clear weather, on single-lane roads, and on minor road approaches. The findings of this study have significant implications for the development of targeted countermeasures such as education programs and road policing.     

Characteristics of college students who text while driving: Do their perceptions of a significant other influence their decisions?

IntroductionTexting while driving is a significant risk factor for automobile collisions. The use of cell phones is prevalent among young people and commonly reported when they drive.MethodA web-based survey of 861 college student drivers determined how texting was associated with other forms of risky driving, perceptions of risk, and their driving and texting interactions with a significant other.ResultsTexting drivers were more likely to engage in other risky driving behaviors, perceived less risk in texting and driving, felt more immune to traffic risks, and had friends who text and drive. Logistic regression analyses showed that even after adjusting for risky driving behaviors and perceived risk, texting drivers were significantly more likely to do so if they saw their significant other text and drive.ConclusionsTraffic safety campaigns need to address important social influences on this behavior.     

Group cycling safety behaviours: A systematic review

BackgroundThe popularity of cycling in a group is longstanding and increasing. Compared to riding as an individual, many cyclists feel safer when riding in a group as they have better personal security, potential support in case of mishaps, safer wayfinding and are more visible to other road users. However, further to the safety challenges shared with individual cyclists, group cyclist safety is impacted by rider proximity, the larger space taken up on roadways, potentially higher speeds, and social norms that could increase risky behaviours. Despite these unique safety considerations, the practice of cycling in groups has received little academic attention and group cyclist safety behaviours have not been analysed by road safety researchers.ObjectiveTo identify, describe, categorise and conceptualise within a teamwork framework, safety related behaviours of groups of cyclists as mentioned in academic literature.MethodsThree academic databases (Google Scholar, Proquest, and Scopus) were searched for peer reviewed literature that mentioned safe or risky behaviours of groups of cyclists. A total of 32 papers met the inclusion criteria. Relevant group cyclist behaviours were described and categorised using a conceptual teamwork framework.ResultsGroup cyclists’ safety behaviours are governed by a comprehensive but informal and adaptable set of rules. These rules are safety critical and are often strictly controlled within groups. Many groups of cyclists may ride in a safer manner than individual cyclists due to teamwork factors, particularly shared mental models, team orientation, and adaptability.ConclusionGroup cyclists take safety seriously. Teamwork factors may make behavioural interventions to decrease risky behaviours easier to implement with group cyclists compared to individual cyclists. Investigation of group cycling safety behaviours may inform safe system interventions to increase road safety.     

Traffic safety climate attitudes of road users in Germany

This paper validates traffic safety climate attitudes based on a representative sample of road users of all travel modes. We use the German version of the Traffic Climate Scale (TCS) which was applied in a large-scale road safety survey in 2010. A total of 1680 people were surveyed. The sample is representative for socio-demographic characteristics and travel mode choice in Germany. Factor analysis reveals a three-factor structure of traffic safety climate with the factor ‘External affective demands’ describing emotional engagement in traffic, the factor ‘Internal requirements’ representing individual skills and abilities to successfully participate in traffic, and the factor ‘Functionality’ describing requirements for a functional traffic system. The less emotionally demanding and the more functional traffic is perceived to be, the safer people feel in traffic. External affective demands are consistently related to the perception of others’ driving/riding style but not to one’s own, whereas internal requirements are consistently related to one’s own driving/riding style but not to the perception of others. There is no relation between traffic safety climate and accidents or near accidents. Contrary to our expectations, a positive traffic safety climate is associated with more secondary tasks while driving and traffic violations. Behavioural control beliefs may mediate the traffic climate–traffic behaviour relationship. The results are discussed with reference to attitude research and the theory of planned behaviour in particular.     

Do aggressive driving and negative emotional driving mediate the link between impulsiveness and risky driving among young Italian drivers?

ABSTRACT

The present study examined the contribution of impulsiveness and aggressive and negative emotional driving to the prediction of traffic violations and accidents taking into account potential mediation effects. Three hundred and four young drivers completed self-report measures assessing impulsiveness, aggressive and negative emotional driving, driving violations, and accidents. Structural equation modeling was used to assess the direct and indirect effects of impulsiveness on violations and accidents among young drivers through aggressive and negative emotional driving. Impulsiveness only indirectly influenced drivers’ violations on the road via both the behavioral and emotional states of the driver. On the contrary, impulsiveness was neither directly nor indirectly associated with traffic accidents. Therefore, impulsiveness modulates young drivers’ behavioral and emotional states while driving, which in turn influences risky driving.     

Accidents,aberrant behaviours,and speeding of young moped riders

Moped riders, particularly youngsters, are amongst the highest risk group in traffic. We used an adapted version of the Driver Behaviour Questionnaire to examine why moped riders are often involved in traffic accidents. We conducted a questionnaire study among 146 young moped riders in the Netherlands. We found that aberrant behaviour of moped riders can indeed be classified as errors, lapses, and violations. Accidents involvement appeared not to be significantly related to errors, lapses, and violations. As hypothesised, moped riders were more likely to speed, and had a stronger intention to disobey speed limits when they have a positive attitude towards speeding, and when they think that others expect them to speed. Perceived control did not affect self-reported speeding and intention to speed. We discuss the theoretical and practical implications of our study.     

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

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

Fatalistic beliefs,risk perception and traffic safe behaviors

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

Red light running by young motorcyclists: Factors and beliefs influencing intentions and behavior

Traffic violations by young riders are major safety problems in motorcycle dominated countries. This study investigates young motorcyclist’s red light running (RLR) intentions and behavior based on the Theory of Planned Behavior (TPB) framework. Behavioral, normative, and control beliefs underlying rider’s RLR are identified. Young riders (N = 246) complete a TPB questionnaire measuring direct and beliefs-based measurement items. The exploratory factor analysis technique reveals factors according to TPB. Structural Equation Modeling (SEM) results show moderate to good fits to the observed data and provide qualified support for the utility of TPB in explaining traffic violation behavior. The findings reveal that perceived norm and attitude dominate violation intentions. Beliefs about normative referents and negative outcomes affect RLR intentions. Intentions affect behavior, especially when riders lack of perceived autonomy. Rider’s degree of control is affected by the beliefs about facilitating circumstances and weather conditions. Besides, perceived autonomy and perceived capacity each influence violation intention and behavior independently. Implications for young motorcyclist safety interventions based on current findings are discussed.     

Validation of the F-DBQ: A short (and accurate) risky driving behavior questionnaire for long-haul professional drivers

Although the Driving Behavior Questionnaire (DBQ) remains the most known tool for assessing risky road behaviors among motor vehicle drivers, recent studies have raised several concerns on the specificity of both driving task conditions and behavioral repertory of certain segments of the driving population. Among them, long-haul (cargo) professional drivers constitute one of the “intensive driving” groups for which the existing adapted behavioral research tools are still very scarce.PurposeThe aim of the present study was to test and validate the F-DBQ (or “Freight Driving Behavior Questionnaire”), a short version of the DBQ adapted to the occupational driving conditions and typical road risk behaviors of freight drivers.MethodFor this cross-sectional study, a sample of n = 982 Spanish long-haul drivers with a mean age of 48.5 years was used, responding to a questionnaire composed of measures on road risk behaviors (DBQ), fatigue (Checklist Individual Strength – CIS and Need for Recovery Scale – NFR) and job stress (Effort–Reward Imbalance questionnaire – ERI).ResultsThrough competitive Confirmatory Factor Analyses (CFA) with structural equation models, it was found that the F-DBQ has a clear dimensional structure, a fair goodness-of-fit, high factorial weights, internal consistency, convergent and discriminant validity and an improved fit to long haul drivers’ working conditions. Also, both (general and work-related) fatigue and job stress have shown to have a significant role in explaining risky road behaviors of long-haul drivers.ConclusionThe findings of this study support that an abbreviated version of the Driving Behavior Questionnaire (the F-DBQ) can be used to assess traffic violations and errors among long-haul drivers, in consideration of their specific task-related conditions (that qualitatively differ from other groups of drivers), with potential implications on the enforcement of occupational and road safety research.     

Investigating cycling kinematics and braking maneuvers in the real world: e-bikes make cyclists move faster,brake harder,and experience new conflicts

Pedelecs (e-bikes), which facilitate higher speeds with less effort in comparison to traditional bicycles (t-bikes), have grown considerably in popularity in recent years. Despite the large expansion of this new transportation mode, little is known about the behavior of e-cyclists, or whether cycling an e-bike increases crash risk and the likelihood of conflicts with other road users, compared to cycling on t-bikes. In order to support the design of safety measures and to maximize the benefits of e-bike use, it is critical to investigate the real-world behavior of riders as a result of switching from t-bikes to e-bikes.Naturalistic studies provide an unequaled method for investigating rider cycling behavior and bicycle kinematics in the real world in which the cyclist regularly experiences traffic conflicts and may need to perform avoidance maneuvers, such as hard braking, to avoid crashing. In this paper we investigate cycling kinematics and braking events from naturalistic data to determine the extent to which cyclist behavior changes as a result of transferring from t-bikes to e-bikes, and whether such change influences cycling safety.Data from the BikeSAFE and E-bikeSAFE naturalistic studies were used in this investigation to evaluate possible changes in the behavior of six cyclists riding t-bikes in the first study and e-bikes in the second one. Individual cyclists’ kinematics were compared between bicycle types. In addition, a total of 5092 braking events were automatically extracted after identification of dynamic triggers. The 286 harshest braking events (136 cases for t-bike and 150 for e-bike) were then validated and coded via video inspection.Results revealed that each of the cyclists rode faster on the e-bike than on the t-bike, increasing his/her average speed by 2.9–5.0 km/h. Riding an e-bike also increased the probability to unexpectedly have to brake hard (odds ratio = 1.72). In addition, the risk of confronting abrupt braking and sharp deceleration were higher when riding an e-bike than when riding a t-bike.Our findings provide evidence that cyclists’ behavior and the way cyclists interact with other road users change when cyclists switch from t-bikes to e-bikes. Because of the higher velocity, when on e-bikes, cyclists appear to have harder time predicting movements within the traffic environment and, as a result, they need to brake abruptly more often to avoid collisions, compared with cycling on t-bikes. This study provides new insights into the potential impact on safety that a cycling society moving to e-bikes may have, indicating that e-cycling requires more reactive maneuvers than does cycling traditional bicycles and suggesting that any distractive activity may be more critical when riding e-bikes compared to traditional bikes.     

Adaptation of the safe driving climate among friends scale in Chinese drivers and its associations with risky driving behaviours

The present study aimed to adapt the Safe Driving Climate among Friends Scale (SDCaF) to Chinese drivers and to examine its reliability and validity. Three hundred and sixty drivers aged from 18 to 24 years old were asked to complete the SDCaF and the Risky Driving Behaviour Scale. A confirmatory factor analysis (n = 360) was conducted to examine the factorial structure of the SDCaF. The validity of the scale was then evaluated by examining the associations between the SDCaF factors, risky driving behaviours and traffic violations. The CFA results showed that the model fit of the Chinese version of the scale (SDCaF-C) was acceptable. Second, the SDCaF-C factors were weakly or moderately correlated with speeding, self-assertiveness and rule violations. Third, significant gender differences were found for the variables of friend pressure and communication, with male drivers scoring higher than female drivers. Moreover, drivers who had traffic violations in the past year scored higher on friend pressure and lower on both communication and shared commitment to safe driving compared to those who had not had traffic violations. The findings supported the psychological properties of the SDCaF-C and highlighted the importance of concerning the effects of safe diving climate among friends on young drivers’ risky driving behaviours.