Higher-order cycling skills among 11- to 13-year-old cyclists and relationships with cycling experience, risky behavior, crashes and self-assessed skill

Twisk, Divera; Wesseling, Simone; Vlakveld, W P; Vissers, Jan; Hegeman, Geertje; Hukker, Nikki; Roelofs, Erik; Slinger, Wilma

doi:10.1016/j.jsr.2018.10.003

Cited by 14 publications

(11 citation statements)

References 25 publications

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“…using a 3-point scale ranging from not dangerous to very dangerous. This test was previously used by Twisk et al (2018).…”

Section: Evaluation Phase (Identical For the Training And Control Groups) 3221 Hazard Detectionmentioning

confidence: 99%

“…The hazard detection test consisted of 14 hazardous situations (Twisk et al, 2018). A previous evaluation among 30 adult cyclists showed that, for 5 out of 14 hazardous situations, 8 or more participants did not press the spacebar, presumably because they did not consider the traffic situation shown in the video clip to be hazardous (Vlakveld, 2017).…”

Section: Evaluation Measures and Analysesmentioning

confidence: 99%

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PC-based hazard anticipation training for experienced cyclists: Design and evaluation

et al. 2020

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Research shows that the ability to anticipate safety-critical situations is predictive of safe performance in traffic. Thus far, hazard anticipation training has been developed mainly for car drivers. These training programs may not be appropriate for cyclists who are exposed to different types of hazards. This study aimed to develop a PCbased hazard anticipation training for experienced cyclists, and evaluate its short-term effectiveness using hazard anticipation tests. Sixty-six electric bicycle users completed either a hazard anticipation training or a control intervention. The hazard anticipation training consisted of videos divided into two modules (instructions and practice) and was designed using various evidence-based hazard anticipation educational methods such as a 'What happens next?' task, expert commentary, performance feedback, and analogical transfer between hazardous traffic situations. The evaluation of the training showed that cyclists from the training group identified hazards faster compared to the control group cyclists, but no significant difference was found in the number of detected hazards between the two groups. The training had a small positive effect on cyclists' prediction accuracy at safety-critical intersection situations. No effect was found on perceived danger and risk in hazardous traffic situations. Our results suggest that experienced cyclists' hazard anticipation skills can be improved with the developed PC-based training. Future research should evaluate the retention and transfer of learned skills.

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“…using a 3-point scale ranging from not dangerous to very dangerous. This test was previously used by Twisk et al (2018).…”

Section: Evaluation Phase (Identical For the Training And Control Groups) 3221 Hazard Detectionmentioning

confidence: 99%

Section: Evaluation Measures and Analysesmentioning

confidence: 99%

PC-based hazard anticipation training for experienced cyclists: Design and evaluation

et al. 2020

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“…From the perspective of public health and safety, identifying bicycling behaviors that increase or decrease crash risk is an important objective. A number of recent studies dealing with bicycling behaviors have focused on risky behavior [1][2][3][4][5][6][7][8][9][10][11], and several of these studies reported associations between engaging in risky behaviors and previous crashes or near-misses [1,2,4,5,[7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

“…Apparently, however, only a handful of recent studies have given attention to positive bicycling behaviors [6,8,[12][13][14], and only three of them analyzed their association with crash risk [8,12,14]. One study [12] utilized an eight-item index to represent "bicycle safety behaviours", including six desirable practices: helmet use, using bike lights in darkness, signaling when turning, walking the bike across the street at designated crossings, making eye contact with drivers, and assuming that drivers don't see you when you pass them.…”

Section: Introductionmentioning

confidence: 99%

“…Higher scores on this safety behaviors index were associated with lower crash involvement in the previous three years. Another study [8] tested [11][12][13] year old riders on some "higherorder cycling skills", comprising hazard perception, blind spot recognition, gap acceptance, and knowledge of priority (right-of-way) protocols. No association was found between these skills and either bicycling experience or crash history.…”

Section: Introductionmentioning

confidence: 99%

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Safety-oriented Practices of Adult Bicycle Ridersin Brooklyn, New York USA: An Interview Study

Hoglund¹

2020

Preprint

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The primary purpose of this investigation was to identify safety-oriented bicycling practices commonly used by adult riders in an urban setting (Brooklyn, New York), and to explore whether there are any differences between the safety-oriented practices of men and women riders. Methods: 24 adult riders (14 men, 10 women) in Brooklyn were interviewed concerning their perceptions of bicycling hazards and their safety-oriented practices. Interviews were recorded, transcribed, and analyzed through thematic analysis. Fisher’s Exact Test was employed to test for gender differences. Results: Participants identified a variety of hazards, mainly due to motor vehicles but also pedestrians and roadway conditions. The analysis distilled twenty-one bicycling practices to summarize prevalent views of the participants about safe riding practices. Related items were grouped under broader categories, generating seven safety-oriented bicycling strategies. Few differences based on gender were found in the analysis; however, women in this study were more likely than men to say that they felt disrespected by other road users. Conclusion: Seven strategies may be important for safe urban bicycling: minimizing exposure to other road users (especially motor vehicles) while riding, being vigilant and anticipating what others might do, riding in a predictable fashion, making one’s presence known to other road users, making sure it is safe before proceeding, obeying traffic rules, and riding at a safe speed. Future studies could develop these concepts further and test whether they are associated with involvement in traffic crashes.

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Speed characteristics of speed pedelecs, pedelecs and conventional bicycles in naturalistic urban and rural traffic conditions

Twisk

Stelling

Gent

et al. 2021

Accident Analysis & Prevention

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Higher-order cycling skills among 11- to 13-year-old cyclists and relationships with cycling experience, risky behavior, crashes and self-assessed skill

Cited by 14 publications

References 25 publications

PC-based hazard anticipation training for experienced cyclists: Design and evaluation

PC-based hazard anticipation training for experienced cyclists: Design and evaluation

Safety-oriented Practices of Adult Bicycle Ridersin Brooklyn, New York USA: An Interview Study

Speed characteristics of speed pedelecs, pedelecs and conventional bicycles in naturalistic urban and rural traffic conditions

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