Hazard perception in young cyclists and adult cyclists

Zeuwts, Linus; Vansteenkiste, Pieter; Deconinck, Frederik; Cardon, Greet; Lenoir, Matthieu

doi:10.1016/j.aap.2016.04.034

Cited by 49 publications

(33 citation statements)

References 38 publications

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“…Previous studies have reported that integration of cyclists into the transport system has been complicated by poor infrastructure, insufficient legal protections and enforcement, lack of evidence-based road safety education, low empathy from other road users and a lack of perceived risk by cyclists [29,46]. In addition, scholarly literature has described the dominance of motor transport [47], often as an urgent policy issue as the main barrier to create a safe space for cyclists.…”

Section: Discussionmentioning

confidence: 99%

Infrastructural and Human Factors Affecting Safety Outcomes of Cyclists

et al. 2018

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Abstract:The increasing number of registered road crashes involving cyclists during the last decade and the high proportion of road crashes resulting in severe injuries and fatalities among cyclists constitutes a global issue for community health, urban development and sustainability. Nowadays, the incidence of many risk factors for road crashes of cyclists remains largely unexplained. Given the importance of this issue, the present study has been conducted with the aim of determining relationships between infrastructural, human factors and safety outcomes of cyclists. Objectives: This study aimed, first, to examine the relationship between key infrastructural and human factors present in cycling, bicycle-user characteristics and their self-reported experience with road crashes. And second, to determine whether a set of key infrastructural and human factors may predict their self-reported road crashes. Methods: For this cross-sectional study, a total of 1064 cyclists (38.8% women, 61.2% men; M = 32.8 years of age) from 20 different countries across Europe, South America and North America, participated in an online survey composed of four sections: demographic data and cycling-related factors, human factors, perceptions on infrastructural factors and road crashes suffered. Results: The results of this study showed significant associations between human factors, infrastructural conditions and self-reported road crashes. Also, a logistic regression model found that self-reported road crashes of cyclists could be predicted through variables such as age, riding intensity, risky behaviours and problematic user/infrastructure interactions. Conclusions:The results of this study suggest that self-reported road crashes of cyclists are influenced by features related to the user and their interaction with infrastructural characteristics of the road.

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Section: Discussionmentioning

confidence: 99%

Infrastructural and Human Factors Affecting Safety Outcomes of Cyclists

et al. 2018

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“…Previous studies [7,8,30] have found that children are especially poor at recognizing covert hazards. Surprisingly, there was no difference between the overt and covert targets in this study.…”

Section: Discussionmentioning

confidence: 99%

“…Children's performance in video-based or simulated HP or SA tasks is poorer than adults' [7,8,29,30]. Covert hazards, like an approaching vehicle which is occluded by road curviness or parked cars, are especially challenging for children to notice [7,8].…”

Section: Introductionmentioning

confidence: 99%

Game-based situation awareness training for child and adult cyclists

et al. 2017

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Safe cycling requires situation awareness (SA), which is the basis for recognizing and anticipating hazards. Children have poorer SA than adults, which may put them at risk. This study investigates whether cyclists' SA can be trained with a video-based learning game. The effect of executive working memory on SA was also studied. Thirty-six children (9–10 years) and 22 adults (21–48 years) played the game. The game had 30 video clips filmed from a cyclist's perspective. Each clip was suddenly masked and two or three locations were presented. The player's task was to choose locations with a potential hazard and feedback was given for their answers. Working memory capacity (WMC) was tested with a counting span task. Children's and adults' performance improved while playing the game, which suggests that playing the game trains SA. Adults performed better than children, and they also glanced at hazards more while the video was playing. Children expectedly had a lower WMC than adults, but WMC did not predict performance within the groups. This indicates that SA does not depend on WMC when passively viewing videos.

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“…Equations (4) and (5) show the effect of the covariates on the duration variable: the explanatory variables affect directly the duration variable by accelerating or decelerating it.…”

Section: Survival Analysismentioning

confidence: 99%

“…The use of the bicycle as viable alternative to the traditional transport systems has continuously increased in the past years as a consequence of the environmental cause, the impact of the pollution on human health, and the cities congestion [e.g., [1][2][3][4][5]]. On the other hand, the data of accidents involving cyclist show that the cyclists are exposed to high risk levels.…”

Section: Introductionmentioning

confidence: 99%

Survival Model of Drivers’ Speed Reduction Time at Bicycle Crossroads: A Driving Simulator Study

Bella

Silvestri

2018

Journal of Advanced Transportation

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The main objective of this study was to assess the effectiveness of several countermeasures at bicycle crossroads on drivers’ behavior during the driver–cyclist interaction (a cyclist that crosses the road) by the use of a driving simulator. Three treatments of the cyclist crossroads were investigated: baseline condition (no treatment), raised island, and the colored paved markings. Forty-two participants drove a suburban scenario with several bicycle crossroads having difference configurations and presence/absence of cyclist. Overall, 252 speed profiles were plotted from 150 m before each crossroad of which 23 showed non-yield events: 12 for the baseline condition, 6 for the colored paved markings, and 5 for the raised island. The method of the survival analysis was applied to model the driver speed reduction time (the elapsed time to pass from the initial speed to the minimum speed during the yielding maneuver) with the use of the Weibull distribution. The model identified the average deceleration, the drivers’ age, and the countermeasure condition as significant explanatory variables. The survival curves highlighted that for the colored paved markings the driver adopted longer values of the speed reduction times and then a less aggressive driver’s braking behavior. Moreover, the outcomes of the questionnaire confirmed that the colored paved markings were considered to be the most effective in terms of driving aid.

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Hazard perception in young cyclists and adult cyclists

Cited by 49 publications

References 38 publications

Infrastructural and Human Factors Affecting Safety Outcomes of Cyclists

Infrastructural and Human Factors Affecting Safety Outcomes of Cyclists

Game-based situation awareness training for child and adult cyclists

Survival Model of Drivers’ Speed Reduction Time at Bicycle Crossroads: A Driving Simulator Study

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