Risk-taking behavior and response inhibition of commuter motorcyclists with different levels of impulsivity

The purposes of this study were to identify the relationships between the risk-taking behavior, response inhibition, and risky motorcycle riding behavior of commuter motorcyclists with different levels of impulsivity, and to examine how these behaviors contribute to motorcycle accidents. A total of 255 Chinese commuter motorcyclists were recruited for this study. Their levels of impulsivity were classified according to the Chinese Barratt Impulsiveness Scale version 11th. Their risk-taking behavior was assessed by the Balloon Analogue Risk Task and their response inhibition was assessed by the Chinese version of the Stroop test Victoria version. The Chinese Motorcycle Rider Driving Violation Scale was used to assess risky motorcycle riding behaviors. Results showed that impulsivity was associated with risk-taking behavior and risky motorcycle riding. Highly impulsive motorcyclists carry out more risk-taking behaviors and are less able to inhibit responses than those with low impulsivity. Motorcyclists with medium impulsivity (OR, 4.74; 95% CI, 1.91–11.39) and those with high impulsivity (OR, 4.91; 95% CI, 2.34–10.24) were about 5 times more likely to be actively involved in motorcycle accidents than those with low impulsivity. Postlicense motorcycle riding experience and risky motorcycle riding behavior were two significant predictors of motorcycle traffic accidents after controlling for other sociodemographic variables. These results can facilitate the development of interventions, including the training and testing of motorcyclists, public education, and mass media messages about traffic risk.     

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.     

Using an eye-tracker to assess the effectiveness of a three-dimensional riding simulator in increasing hazard perception

A crucial factor contributing to the high rate of road accidents involving young people is inexperience, in particular the inability to promptly identify risky situations. The aim of this study is to test the effectiveness of a riding simulator in improving this skill in young inexperienced riders. We use the first fixation latency to measure the improvement in detecting the hazardous object. Results show that four training sessions can significantly affect promptness in detecting new hazardous objects as they appear, decreasing the time needed to orient the eyes to the hazard.     

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.     

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.     

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.     

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.     

Using physiological and behavioral measurements in a picture-based road hazard perception experiment to classify risky and safe drivers

Every year, a considerable number of people got injured or even lost their lives in road traffic accidents. To decrease the number of fatalities and injuries, researchers are seeking methods to identify and restrain drivers before the happening of actual traffic accidents, who possess dangerous driving behaviors and may cause road traffic accidents. Such methods are usually exploited to decide drivers’ fitness to drive—an indicator to describe whether they are fit for driving. The aim of this study is to measure drivers’ physiological and behavioral responses to road hazards and to extract features from measurements for further classification of risky and safe drivers. 42 drivers participated in a picture-based road hazard perception experiment, where electroencephalography (EEG), electrodermal activity (EDA), behavioral responses to road hazards, multidimensional driving style inventory (MDSI) questionnaire, and demographic information were recorded. Results indicated that 5 specific physiological features regarding to road hazard perception showed significant differences between risky and safe drivers. Subsequently, participants were classified into risky or safe drivers group by applying only the 5 features. 81.82% and 77.78% accuracy of classification were attained for risky and safe drivers, respectively. It was evidenced that using physiological and behavioral responses to evaluate drivers’ road hazard perception might be utilized as a tool to measure drivers’ fitness to drive. For further studies, improvements to future experiment design were discussed.     

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

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

Risk comparative judgments while driving a car among competitive road cyclists and non-cyclists

This study examines risk comparative judgments and risky behaviors while driving a car among competitive road cyclists (n = 119) and among controls (i.e., drivers who have almost no cycling experience, n = 142). A questionnaire-based cross-sectional survey was conducted. Results showed that competitive road cyclists assess their own vulnerability to be involved in an accident while riding (VAR) as being lower than that of the average cyclists, and their abilities to manage risks while riding (AMRR) as being higher. They assessed their own vulnerability to be involved in an accident while driving a car (VAD) as being lower than that of the average drivers, and their own quality of reflexes while driving a car (QRD) as being higher. Their tendency to express comparative optimism while assessing their comparative VAD and QRD was higher than that of controls. They also reported more prudent behaviors while driving a car than did controls. Results are discussed, as well as implications in terms of prevention.     

Motorcycle riders’ self-reported aggression when riding compared with car driving

Aggressive driving has been shown to be related to increased crash risk for car driving. However, less is known about aggressive behaviour and motorcycle riding and whether there are differences in on-road aggression as a function of vehicle type. If such differences exist, these could relate to differences in perceptions of relative vulnerability associated with characteristics of the type of vehicle such as level of protection and performance. Specifically, the relative lack of protection offered by motorcycles may cause riders to feel more vulnerable and therefore to be less aggressive when they are riding compared to when they are driving. This study examined differences in self-reported aggression as a function of two vehicle types: passenger cars and motorcycles. Respondents (n = 247) were all motorcyclists who also drove a car. Results were that scores for the composite driving aggression scale were significantly higher than on the composite riding aggression scale. Regression analyses identified different patterns of predictors for driving aggression from those for riding aggression. Safety attitudes followed by thrill seeking tendencies were the strongest predictors for driving aggression, with more positive safety attitudes being protective whilst greater thrill seeking was associated with greater self-reported aggressive driving behaviour. For riding aggression, thrill seeking was the strongest predictor (positive relationship), followed by self-rated skill, such that higher self-rated skill was protective against riding aggression. Participants who scored at the 85th percentile or above for the aggressive driving and aggressive riding indices had significantly higher scores on thrill seeking, greater intentions to engage in future risk taking, and lower safety attitude scores than other participants. In addition participants with the highest aggressive driving scores also had higher levels of self-reported past traffic offences than other participants. Collectively, these findings suggest that people are less likely to act aggressively when riding a motorcycle than when driving a car, and that those who are the most aggressive drivers are different from those who are the most aggressive riders. However, aggressive riders and drivers appear to present a risk to themselves and others on road. Importantly, the underlying influences for aggressive riding or driving that were identified in this study may be amenable to education and training interventions.     

Improving drivers’ eye fixation using accident scenes of the HazardTouch driver-training tool

This study investigated the effect of a driver-training tool that uses “HazardTouch” software and videos of actual accidents on drivers’ eye fixation through a tablet device (iPad). Drivers’ eye fixation of a video of a car passing thirteen intersections without signals was measured before and after training, using an eye-mark recorder. Three training exposures of four scenes using HazardTouch improved drivers’ eye fixation on the stimulus movie. In particular, the first fixation on the edge of the blind spot at intersections appeared significantly sooner after training. Moreover, fixation frequency for this blind spot increased significantly at post-training. These results suggest that the proposed driver-training tool effectively improves eye-fixation behavior in drivers and may prevent accidents.     

自我控制资源水平及其变化对跨期选择的影响

自我控制资源（SCR）是个体执行自我控制活动时所需的有限心理资源,本文通过两项实验探讨个体的SCR水平与SCR变化对跨期选择的影响。结果发现：（1）控制知觉加工组和控制想法组在执行SCR操作任务后,其整体SCR下降,SS偏好增强;（2）控制知觉加工组的SCR降幅和SS偏好增幅均显著高于控制想法组;（3）SCR下降的被试在后测SS偏好和SS偏好增幅上都显著高于SCR不变和上升的被试,但SCR上升被试与不变被试的差异不显著。与以往研究相比,本研究采用了个体水平分析思路,揭示了个体SCR变化方向与跨期偏好的关系,并发现了两种SCR操作任务的效应差异。     

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.     

Influence of cognitive stance and physical perspective on subjective and autonomic reactivity to observed pain and pleasure: An immersive virtual reality study

Observing others’ pain may induce a reaction called personal distress that may be influenced by top-down (imagine self or other in pain, i.e., self- vs other-oriented stance) and bottom-up (physical perspective of those who suffer, i.e., first vs third person perspective- 1PP vs 3PP) processes. The different contributions of these processes have not been teased apart. By capitalizing on the power of Immersive Virtual Reality, we explored how behavioural (subjective ratings) and physiological reactivity (skin conductance reactivity, SCR) to pain and pleasure delivered to an avatar was influenced by Cognitive stance and Physical perspective. Taking an Other-Oriented stance leads to attributing higher congruent valence (i.e. pain rated as unpleasant and pleasure as pleasant) and intensity to the stimuli and induces reduced SCR. Ownership over the virtual limb was maximal in 1PP where physiological reactivity to the stimuli was comparable. Our results highlight different components underpinning reactivity to pain and pleasure.     

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

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

The proximity heuristic in judgments of accident probabilities

In daily life, probabilities are often assessed informally through the perceived distance to a target event. Accident probabilities are believed to be high when a disastrous outcome appears to be close. This proximity heuristic can lead to exaggerated p(death) estimates in risky situations (Experiment 2), and sometimes higher probabilities for death after near‐accidents than after actual accidents (Experiment 3 and 4). Near‐accidents are also believed to be equally good, or better, predictors of future disasters than actual accidents, despite being less serious and more frequent (Experiment 5). The proximity heuristic influences the way people talk about their own and other people's chances (Experiment 1), and how they prepare to avoid (or, if necessary, to produce) a disastrous outcome (Experiment 6).     

The role of values in road safety culture: Examining the valuation of freedom to take risk,risk taking and accident involvement in three countries

National focus on individual freedom versus paternalistic values is a fundamental theme, which defines the status of traffic safety in different countries. The present study examines the role of such values in road safety culture based on survey data from car and bus drivers from three countries with distinctly different road safety records: Norway (N = 596), Israel (N = 129) and Greece (N = 386). While Norway has the highest road safety level in Europe, and Israel also performs better than the EU average, the road safety level in Greece was far below the EU average. As these positions reflect differences in policies and national regulations in drivers’ freedom to take risk, we hypothesize a higher focus on individual freedom to take risk and lower focus on paternalism among the Greek drivers. Results indicate, in accordance with our hypothesis, that the Greek drivers value freedom to take risk in traffic higher than drivers from Norway and Israel. Greek drivers also expect higher levels of risk taking from other drivers in their country, they report higher levels of risky driving themselves, and are more often involved in accidents. Thus, it seems that values have an important role in Road Safety Culture (RSC), legitimizing and motivating risky driving, which are related to accidents. We found, however, contrary to our hypotheses, that the Greek drivers also had the most paternalistic attitudes among the drivers in the three countries. In the present paper, we try to solve this Greek paradox.     

An experimental analysis of generalization in assertive training

Unassertive psychiatric patients matched on age, diagnosis, and self-reported assertiveness were assigned to one of five conditions, with 10 subjects in each group: Test-Retest, Practice-Control, Practice-Control with Generalization Instructions, Modeling and Instructions, Modeling and Instructions with Generalization Instructions. All subjects were videotaped (Pre- and Post-Test) while responding to ten interpersonal situations requiring assertive responses. Following the Pre-test, subjects in the experimental groups received training on five of the ten situations (training scenes). On the remaining five situations subjects received no training (generalization scenes). Results indicated that the Modeling and Instructions groups effected the greatest changes on seven of the eight components for the training scenes but on only five of the eight components for the generalization scenes. No differences were found between either of the two Practice-Control groups and the the Test-Retest group. Although transfer of training effects were obtained on the generalization scenes, these effects were minimal on an independent in vivo test of generalization. Moreover, an instructional set designed to facilitate generalization to different situations was only partially effective.     

Personality, risky driving and accident involvement among Norwegian drivers

Despite the large body of studies, the role of personality in risk research still remains debatable and unclear. The objective of this study was to identify determinants of road user behaviour and accident involvement with the aim of developing effective accident countermeasures. Examining relationships between personality, risky driving and involvement in accidents can open up the possibility of early identification of those more likely to be involved in accidents. The aim is not to influence personality as such, but to develop measures constructed for specific groups. The results are based on a self-completion questionnaire survey carried out among a sample of Norwegian drivers in year 2000 and 2001 (n=2605). The Norwegian Directorate of Public Roads financed the study. The questionnaire included measures of risky driving, accident involvement, normlessness, sensation-seeking, locus of control and driver anger. Results showed that those who scored high on sensation seeking, normlessness and driver anger reported more frequent risky driving compared to those who scored low on these variables. They were more often involved in both speeding and ignorance of traffic rules. Respondents involved in risk taking-behaviour experienced near-accidents and crashes leading to both injuries and material damage more often than other drivers.