Everyday risk taking as a function of regulatory focus

Uncertainty is an inherent aspect of everyday life. However, faced with uncertainty, some individuals take risks more eagerly than others. Regulatory focus theory may explain such differences because risky behavior may arise naturally from the eagerness of promotion focused individuals, while safe behavior may arise naturally from the vigilance of prevention focused individuals. A highly relevant real-life context for studying risk is mobility, as engaging in traffic inherently carries uncertainty about negative outcomes. We present two studies showing a direct link between regulatory focus and risky behavior going beyond traditional laboratory approaches. In both naturalistic speeding behavior (Study 1) and simulated risk taking (Study 2) promotion focus was positively, and prevention focus was negatively related to actual risky behavior.     

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.     

Introducing naturalistic cycling data: What factors influence bicyclists’ safety in the real world?

Presently, the collection and analysis of naturalistic data is the most credited method for understanding road user behavior and improving traffic safety. Such methodology was developed for motorized vehicles, such as cars and trucks, and is still largely applied to those vehicles. However, a reasonable question is whether bicycle safety can also benefit from the naturalistic methodology, once collection and analyses are properly ported from motorized vehicles to bicycles. This paper answers this question by showing that instrumented bicycles can also collect analogous naturalistic data. In addition, this paper shows how naturalistic cycling data from 16 bicyclists can be used to estimate risk while cycling. The results show that cycling near an intersection increased the risk of experiencing a critical event by four times, and by twelve times when the intersection presented some form of visual occlusion (e.g., buildings and hedges). Poor maintenance of the road increased the risk tenfold. Furthermore, the risk of experiencing a critical event was twice as large when at least one pedestrian or another bicyclist crossed the bicyclist’s trajectory. Finally, this study suggests the two most common scenarios for bicycle accidents, which result from different situations and thus require different countermeasures. The findings presented in this paper show that bicycle safety can benefit from the naturalistic methodology, which provides data able to guide development and evaluation of (intelligent) countermeasures to increase cycling safety.     

Why male adolescent bicyclists perform risky stunts? A qualitative study

Stunts are one of the main reasons for traffic accidents, particularly among male adolescent bicyclists (ABs). Nonetheless, there are limited data about the theoretical framework of its contributing factors. Moreover, the theoretical frameworks explaining the factors contributing to other risky behaviors have not been used in the area of risky bicycle stunts. The aim of this qualitative study was to explore the factors contributing to risky stunts among male ABs in Iran. This qualitative study was conducted from September 2019 to December 2020 using conventional content analysis. Participants were 29 male ABs purposively selected from Isfahan, Iran. Data were collected through eighteen interviews with sixteen ABs and three focus group discussions with thirteen ABs. Data analysis was conducted concurrently with data collection through conventional qualitative content analysis. The mean of participants’ age was 16.4 ± 1.1 years. Factors contributing to their engagement in risky stunts were grouped into three main themes, namely predisposing personal factors (such as risk underestimation, perceived superiority, sensation seeking, emotional condition, and previous stunt-related experiences), reinforcing social factors (such as supportive social norms and weaknesses of traffic regulations), and environmental conditions (such as time conditions and structural factors). This study provides a new classification of the facilitators to risky stunts among male ABs and reveals new facilitators to these stunts, namely perceived superiority and police non-deterrent reactions to stunts. Therefore, programs on the improvement of safe bicycling should focus not only on perceptual and emotional factors and correction of false perceived superiority through education, but also on social norms and beliefs, regulations, and environmental factors.     

Professional drivers’ fatigue as a problem of the modern era

ObjectiveAll around the world numerous studies have been carried out and indicated that 20–50% of commercial vehicle accidents occur because of fatigue. Professional drivers represent an important category of drivers who are present in traffic on a daily basis transporting passengers or goods and their responsibility is at a very high level. These drivers are most exposed to the impact of fatigue. The review of the literature has provided three main factors which can influence the onset of fatigue: sleep factors, work factors, health factors. The main aim of this study was to determine the influence of the three main factors of fatigue between bus and truck drivers in the Republic of Serbia.MethodsThe survey has been conducted among bus and truck drivers who are employed in transportation companies across the Republic of Serbia. The research consists of collecting and analyzing bus and truck drivers’ answers according to the above mentioned factors which influence the occurrence of fatigue.ResultsIn this study we have found that circadian rhythm, sleep and work factors have an impact on drivers’ fatigue. On the other side, time of going to sleep has no impact on the quality of sleep and on fatigue. The results show that if the drivers work over the legal limit, they are 3 times more likely to sleep less than 6 h in 24 h and if they sleep less than 6 h, it is likely that the poor quality of their sleep will be 8 times higher. The poor quality of sleep reduces driver performance, and therefore increases the risk of accidents.Conclusions2 of 3 investigated factors have an impact on the occurrence of fatigue. The third factor, health factor, should be examined in more detail, and other elements should be analysed in order to determine their influence on the fatigue.     

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.     

Testing extrinsic and intrinsic motivation as explanatory variables for the safety climate–safety performance relationship among long-haul truck drivers

The paper tests the proposition that the organizational climate-behavior relationship is based primarily on extrinsic motivation induced by climate perceptions. Using safety climate as exemplar, the effect of climate-induced extrinsic motivation was compared with that of engagement-induced intrinsic motivation on safety behavior and subsequent injury outcomes. Using a sample of long-haul truck drivers representing lone employees, (individual-level) safety climate perceptions and employee engagement predicted safety behavior, which mediated their effect on subsequently measured road injury outcomes. Consistent with meta-analytic evidence suggesting a non-symmetric compensatory relationship between extrinsic and intrinsic motivation, high safety climate undermined the effect of engagement on safety behavior with the reverse being true under low safety climate. This resulted in a moderation effect of engagement on the strength of relationship between climate perceptions and safety behavior. Theoretical and practical implications for climate, engagement, and lone work research are discussed.     

Personality subtypes of young drivers. Relationship to risk-taking preferences, accident involvement, and response to a traffic safety campaign

The present study aimed at identifying subtypes of young drivers (N=2524) and evaluate how these responded to a traffic safety campaign. On basis of a cluster analysis of personality measures, six subtypes of young drivers were identified. The subtypes were found to differ on self-reported risky driving behaviour, attitudes towards traffic safety, risk perception, estimation of own driving skills, and accident involvement. Two of the subtypes were identified as high-risk groups in traffic. The first high-risk group consisted of mostly men, characterised by low levels of altruism and anxiety, and high levels of sensation-seeking, irresponsibility, and driving related aggression. The second high-risk group reported high sensation seeking, aggression, anxiety, and driving anger. The subtypes were also found to differ on how they evaluated and responded to the traffic safety campaign. The results indicated that the campaign seemed to appeal most to the low-risk subtypes. Gender differences within each subtype were also found on the different traffic related measures, as well as on response to the campaign. It is concluded that young drivers should not be treated as a homogenous group pertaining to road safety. Practical suggestions on how to promote safe driving among these subtypes are also discussed.     

An empirical analysis of the characteristics of drivers who are ticketed for traffic offences

This study uses a unique individual-level dataset that merges Israeli census data with official information on traffic tickets issued over a period of seven years in order to explore the socio-demographic characteristics of drivers who receive traffic tickets. The dataset included 409,051 drivers who received a total of 830,763 traffic tickets. The results indicate that about 60% of drivers received at least one ticket during the study period. However, drivers who received tickets were not distributed evenly in society. Of those with the most tickets, 93% were male, and half were in the youngest group of drivers studied. The effect of socioeconomic status appears to differ across different types of offenses. Implications and suggestions for future research are discussed.