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.     

Patterns in perceived crash risk among male and female drivers with and without substantial cycling experience

Perceived risk of crashes is generally higher in female than in male cyclists. No study has assessed whether these gender differences only apply to riding bicycles. Using an online risk assessment task and survey, this study (a) tested the hypothesis that compared to men, women perceive higher risks, irrespective of traffic mode and (b) explored gender differences in the predictors of perceived risk. Data were analysed from 595 driver licence holders in Australia: 444 who cycled regularly, termed ‘cyclists’ from here on (31% women) and 151 regular drivers who did not (63% women), who are referred to as ‘drivers’. Cyclists in their role as cyclists and drivers in their role as drivers (traffic role) were instructed to imagine being in a specified traffic scenario and to assess crash likelihood. Each of 6 traffic scenarios was presented twice but differing in configuration: a violating car and a violating bicycle. A mixed ANOVA, with rated probability of a crash as the dependent variable, gender and traffic role as grouping factors, and configuration as the repeated measure, resulted in a main effect of configuration, showing that both drivers and cyclists perceived higher levels of risk of violating cars than of violating bicycles (η_p2 = 0.34). The interaction of traffic role and configuration showed this difference to be smaller for drivers than for cyclists (η_p2 = 0.18). This suggests that drivers are aware of the car’s high injury potential in crashes with cyclists. The main effect of gender showed that irrespective of traffic role, women perceived higher risk than men, which supported the hypothesis that gender differences are not limited to cycling (η_p2 = 0.03). The main effect of traffic role was not significant.For the predictors of perceived risk, ANOVA showed main effects for traffic role and gender, with small effect sizes (from η_p2 = 0.02 to η_p2 = 0.03). Cyclists were more confident, less inattentive and more in favour of stricter laws. Women felt less skilled and were more concerned about risks. None of the interactions between gender and traffic role were significant, which lent further support to the hypothesis that gender differences were a general rather than a cycling specific characteristic. Thus, perceived risk does not differ between women who regularly cycle and those who do not. These findings may inform interventions about the role of perceived risk in the uptake of cycling.     

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.     

Bicyclists’ behavioral and physiological responses to varying roadway conditions and bicycle infrastructure

Population growth increase of vehicle ownership, and development patterns have resulted in greater levels of congestion, pollution, and crash frequency. A proposed solution to lessen current transportation system demands is to increase the share of bicycle trips. Furthermore, as cycling is perceived by some as both a dangerous and stressful mode of transportation, understanding the factors that lead to less comfortable and stressful riding, can help drive bicycle infrastructure development. To establish a more robust understanding of the behaviors of bicyclists and how infrastructure design and operations influence them, a bicycle simulator was used to evaluate bicyclist performance measures of velocity, horizontal displacement, and physiological responses (i.e., galvanic skin response) while riding in varying roadway conditions. Results showed that bicyclists in the bike lane condition, had a GSR reading 1.77 peaks per min less than when cycling in the no bike lane condition. When bicyclists were in no bike lane condition, the GSR reading was not affected by vehicle speed but it was affected by the vehicular volume. Additionally, females felt less comfortable when riding in either bike condition, even though they reported that they were “Strong and Fearless” riders. The methodology used for this study sets forth the foundation for future research that could evaluate varying facility designs and a wider range of individuals.     

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.     

Mastering balance: The use of balance bicycles promotes the development of independent cycling

Children who learn to cycle at a young age do this by using training bicycles that simplify control requirements compared with regular bicycles, such as bicycles with training wheels or balance bikes without pedals. The primary purpose of the current study was to investigate whether the two types of training bicycles result in a different age of onset of independent cycling on a regular bicycle. We asked parents of 4- to 6-year-old children (n = 173) to complete a questionnaire regarding their child's bicycling history. The results showed that children who had practised with a balance bicycle started practising at a younger age, had shorter practice duration, and were able to cycle independently at a younger age in comparison to children who had practised with a bicycle with training wheels (or with both training bicycles). We argue that the observed advantage of balance bicycle is associated with the balance bicycle actively challenging postural control. Further research is needed to uncover the impact of training bicycles on the further development of the foundational skill of cycling.     

How visually impaired cyclists ride regular and pedal electric bicycles

The present study investigates whether visually impaired cyclists compensate for their vision limitations by maintaining a lower speed or a larger distance to the kerb than normally sighted cyclists when riding a regular bicycle or pedal electric bicycle (pedelec). A normally sighted control group (n = 10), a peripheral visual field loss group (n = 9), and a low visual acuity group (n = 12) rode a fixed route (7.5 km) in the Netherlands on a regular bicycle and on a pedelec. Speed and lateral position were measured when participants cycled a (I) one-way cycle path, (II) two-way cycle path, (III) residential area, and (IV) shared space zone. With regard to both the regular bicycle and the pedelec, no significant speed or lateral position differences were found between the three groups. In conclusion, for some people with severe and permanent visual impairments, and under certain circumstances, regular bicycle and pedelec riding may be possible without noticeable speed reduction or adapted lane position to compensate for their functional impairment. The present findings may further optimise the cycling advice provided by mobility trainers of vision rehabilitation centres and the independent mobility of visually impaired people.     

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.     

Conditions for speeding behaviour: A comparison of car drivers and powered two wheeled riders

Against a UK background of decreases in collisions involving car drivers, motorcycle collisions are on the increase. To throw light on this process, this paper explores differences between motorcyclists and car drivers in the conditions for speeding behaviour. Some predictions derived from the model of Task-difficulty Homeostasis (TDH) were tested using self-report data from samples of older (>35 years), male car drivers (n = 269) and motorcyclists (n = 102). As predicted, riders were more likely to speed on rural roads and less likely to speed on urban roads, and, riders were much more likely to speed in daytime than at night.Riding a motorcycle offers opportunities for expressive use of the vehicle and riders are more likely to say they really enjoy riding fast. However amongst older riders this behaviour appears to be largely confined to daytime riding on rural roads. Compared with cars, motorcycles provide more of an opportunity to manoeuvre around obstacles in controlling task demand, rather than using speed as the primary controlling variable. Although this provides more options for the rider, it carries with it vulnerability to loss of control from variation in road surface adhesion and maintaining too high a speed.     

Assessment of data glasses for motorcycle riders in a simulated lane change test

Relevant riding information such as speed or navigation instructions are typically displayed in head down dashboards on Powered Two-Wheelers. Data glasses provide information directly in the field of view and could, therefore, reduce glances away from the roadway ahead to focus on the dashboard. This study aimed to examine whether providing information in data glasses while riding as compared to classical head down displays makes a difference. Therefore, a total of N = 24 riders completed the ISO lane change test on a motorcycle riding simulator. Meanwhile, riders had to react to changing turn-by-turn indications which were either displayed in the dashboard, in the data glasses or redundantly in both display technologies. The performance in the lane change test and the reaction times achieved in the secondary task were examined along with riders’ workload by means of the Detection Response Task (DRT) and questionnaire data. Results revealed that riders’ lane change performances did not differ between the conditions ‘data glasses’ and ‘dashboard’. Information displayed in the data glasses was recognized faster and fewer turn-by-turn indications were missed. The performance in the DRT remained unchanged throughout the test conditions, while the subjective workload experience decreased with the use of data glasses. Overall, the results suggest that data glasses did not provoke an attentional capture effect and were, therefore, not inferior compared to dashboards regarding riding performance. However, data glasses did reduce the perceived workload and may in particular provide a safety benefit when time-critical information, such as warnings, need to be displayed.     

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.     

Intersegmental strategies in frontal plane in moderately-skilled riders analyzed in ridden and un-mounted situations

The symmetry of the rider is highly relevant, and in the equestrian community it is generally thought that a symmetrical rider has a better possibility to influence the horse in an optimal way. The aim of the study was to analyse and compare frontal plane kinematics of the core body segments in ten riders while riding and while rocking a balance chair from side-to-side. It was hypothesized that the riders were asymmetrical in relation to their intersegmental strategies when comparing between left and right directions and that individual riders would display the same postural strategies when riding and when rocking the balance chair. Ten moderately-skilled riders wore a full-body marker set that was tracked by a motion capture system as they rocked a balance chair from side to side. Inertial measurement units attached to the head, trunk and pelvis were used to measure the segmental movements while riding in left and right directions. Roll rotation data for head, trunk and pelvis were averaged over available strides/cycles. Results from mixed models showed that the riders were asymmetric when comparing riding in left vs right directions, for example the trunk was rotated 19° to the right on the right circle and 14° to the left on the left circle, on average. Riders adopted the same asymmetrical posture whether they were riding in the left or right direction on straight lines, circles or leg yielding. A significant relationship was found between postural asymmetries when riding and when rocking the balance chair, one degree of pelvis or head roll asymmetry on the chair predicted 2.4 (SE 0.9) degrees of asymmetry while riding. Future studies may investigate the value of seated, off-horse postural training for improving rider symmetry and thereby equestrian performance.     

The effects of prompting and reinforcement on safe behavior of bicycle and motorcycle riders

A reversal design was used to evaluate the effects of vocal and written prompts as well as reinforcement on safe behavior (dismounting and walking bicycles or motorcycles on a sidewalk) on a university campus. Results indicated that an intervention that consisted of vocal and written prompts and reinforcement delivered by security guards was effective at increasing safe behavior exhibited by bicycle and motorcycle riders. No differences were observed between vehicle type or gender with regard to engagement in safe behavior.     

Detecting motorcycle rider local physical fatigue and discomfort using surface electromyography and seat interface pressure

Whilst motorcycling is an activity of pleasure in most parts of the world, in India it is a regular mode of commuting. Incidence of fatigue is substantially higher among motorcycle riders than drivers of other modes of transport. The objective of this study was to detect physical fatigue due to motorcycle riding for an hour using surface electromyography (sEMG) and seat interface pressure. Twenty healthy male participants performed 60 min of motorcycle riding in a low traffic density environment. Muscle activity was recorded bilaterally from extensor carpi radialis (ECR), biceps brachii (BB), trapezius medial (TM), sternocleldomastoid (S) latissimus dorsi (LD) and erector spinae (ES) muscle groups. Interface seat pressure distribution was monitored using a pressure mapping system. Results showed that participants have significant (p < 0.05) physical fatigue in TM, LD and ES muscle groups during 60 min of motorcycle riding. Seat pressure distribution was found to be non-uniform during the course of motorcycling. Results suggest that the impact on local physical fatigue and seat discomfort are probably due to static seating demand and prolonged sitting posture balance required to ride the motorcycle for an hour.     

The effects of safety knowledge and psychological factors on self-reported risky driving behaviors including group violations for e-bike riders in China

ObjectivesIt is unknown that how safety knowledge and psychological factors affect e-bike rider safety. Also, group violation behaviors, which are commonly observed in the field, have been rarely examined for e-bike riders in China. In this paper, the effects of safety knowledge and psychological factors on self-reported risky driving behaviors including group violations were examined.MethodsA questionnaire was developed to acquire information of e-bike riders in Guilin, Guangxi Province. Explanatory factor analysis was used to examine the reliability of the questionnaire and exclude redundant measurement items. Then, a Structure Equation Model was developed to examine the relationships among safety knowledge, safety attitude, risk perception and risky driving behaviors. After that, multiple regression models were fitted to examine the effect of safety knowledge on each type of risky driving behavior, as well as factors associated with group violations. At last, ANOVA tests were conducted to identify significant differences among e-bike rider groups in safety knowledge, safety attitude, and risk perception.ResultsSafety knowledge was found significantly associated with risky driving behaviors for e-bike riders in China, including aggressive driving, erroneous driving, and group violations. E-bike riders severely lack safety knowledge, especially that of traffic rules, including unmarried riders, under-educated riders, riders without driver’s license, younger riders, and riders with little riding experience. Group violations were largely found among e-bike riders, and to be associated with safety knowledge of traffic rules, risk-taking attitude, and riding experience of e-bike riders.ConclusionsThe findings could add some new safety implication and be beneficial for developing safety policies and interventions for e-bikes.     

Using naturalistic data to assess e-cyclist behavior

In Europe, the use of electric bicycles is rapidly increasing. This trend raises important safety concerns: Is their use compatible with existing infrastructure and regulations? Do they present novel safety issues? How do they impact other traffic? This study sought to address these concerns, using instrumented electric bicycles to monitor e-cyclists’ behavior in a naturalistic fashion. Data was collected from 12 bicyclists, each of whom rode an instrumented bicycle for two weeks. In total, 1500 km worth of data were collected, including 88 critical events (crashes and near-crashes). Analysis of these critical events identified pedestrians, light vehicles and other bicycles as main threats to a safe ride. Other factors also contributed to crash causation, such as being in proximity to a crossing or encountering a vehicle parked in the bicycle lane. A comparison between electric and traditional bicycles was enabled by the availability of data from a previous study a year earlier, which collected naturalistic cycling data from traditional bicycles using the same instrumentation as in this study. Electric bicycles were found to be ridden faster, on average, than traditional bicycles, in addition to interacting differently with other road users. The results presented in this study also suggest that countermeasures to bicycle crashes should be different for electric and traditional bicycles. Finally, increasing electric bicycle conspicuity appears to be the easiest, most obvious way to increase their safety.     

Factors associated with cyclists’ self-reported choice of lane position

Riders cycling on roads without bicycle lanes are generally advised to ride in the centre of their lane (primary position), and to move toward the left of the lane (in left-hand traffic; secondary position) only to let faster traffic pass and when it is safe. The present research investigated which situational and personal characteristics were associated with choice of lane position, and whether choice of lane position is associated with on-road crash involvement. A large cohort of bicycle riders from New South Wales Australia reported on their cycling patterns and crashes in 6 reporting weeks over a 1-year period using on-line surveys. During one reporting week 1525 participants identified their preferred choice of lane position in each of 6 visually-depicted scenarios that were designed to investigate the influence of number of lanes (in the cyclists’ direction of travel), parked cars, and bus lanes. A majority of respondents preferred the secondary position in scenarios with a clear kerbside lane. Respondents were significantly more likely to choose the primary position in multiple-lane situations compared to single-lane situations, if there were parked cars in the kerbside lane, and if they were female, younger, experienced riders, transport riders, or high intensity riders. Controlling for personal characteristics, choosing the primary position in a single clear traffic lane scenario was associated with a higher on-road crash rate, while choosing the primary position in a traffic lane with parked cars scenario was associated with a lower on-road crash rate. Results suggested that when riding on-road the bicycle riders in this Australian cohort prefer to keep their distance from motorised traffic, allowing traffic to pass safely when space allows. Nonetheless, results suggested that choice of lane position is highly dependent on the local road and traffic environment. Further research is needed to support advice to cyclists.     

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.     

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.