Divera Twisk1, Simone Wesseling2, Willem Vlakveld3, Jan Vissers4, Geertje Hegeman5, Nikki Hukker6, Erik Roelofs7, Wilma Slinger8. 1. Centre for Accident Research & Road Safety - QLD, Queensland University of Technology, K Block, 130 Victoria Park Road, Kelvin Grove, QLD 4059, Australia. Electronic address: twisk2@qut.edu.au. 2. Institute for Road Safety Research (SWOV), Bezuidenhoutseweg 62, 2594 AW, The Hague, the Netherlands. Electronic address: simone.wesseling@swov.nl. 3. Institute for Road Safety Research (SWOV), Bezuidenhoutseweg 62, 2594 AW, The Hague, the Netherlands. Electronic address: willem.vlakveld@swov.nl. 4. Royal HaskoningDHV, Laan 1914 no 35, 3818 EX, Amersfoort, the Netherlands. Electronic address: jan.vissers@rhdhv.com. 5. Royal HaskoningDHV, Laan 1914 no 35, 3818 EX, Amersfoort, the Netherlands. Electronic address: geertje.hegeman@rhdhv.com. 6. Royal HaskoningDHV, Laan 1914 no 35, 3818 EX, Amersfoort, the Netherlands. Electronic address: nikki.hukker@rhdhv.com. 7. Centraal Instituut toetsontwikkeling (CITO), Amsterdamseweg 13, 6814 CM, Arnhem, the Netherlands. Electronic address: Erik.Roelofs@cito.nl. 8. CROW, Hora plantsoon 18, 6717 LT, Ede, the Netherlands. Electronic address: wilma.slinger@crow.nl.
Abstract
INTRODUCTION: In the Netherlands, young cyclists are extremely vulnerable in traffic, which may partly be due to their still underdeveloped higher-order cycling skill. So far, knowledge on their actual level of skill is lacking. Using a computerized test battery mimicking real-life risky traffic conditions, this study assessed the level of higher-order cycling skill in children 11 and 12 years of age and tested the hypothesis that these skills show caveats. Furthermore, factors potentially influencing the development and impact of these skills were studied, such as cycling experience, risky road behavior, crash involvement, and self-assessed skill. METHOD: A total of 335 students (49% female) completed computerized tests on hazard perception, gap acceptance, blind spot strategies, and priority decisions in traffic, and completed questionnaires on cycling experience, risky cycling behavior, crashes, and self-assessment of cycling skill. RESULTS: On the hazard perception test, one-third of the participants missed at least half of the number of hazards. They made errors in about 50% of the priority decisions, accepted critical gaps when crossing the road, and conversely rejected safe gaps; only 1% of the participants identified all blind spots of a truck correctly, while 69% made unsafe decisions when interacting with trucks in traffic scenarios. Overall, in complex traffic situations performance was worse than in simple ones. The hypothesis of lack of skills was therefore accepted. However, the study failed to demonstrate consistent relationships between subtest performance and cycling experience, risky behavior, crashes, and self-assessed skill, which weakens the theoretical assumptions concerning the subtests. CONCLUSIONS: The results suggest that children at the end of primary school are still lacking elementary skills for safe cycling, calling for measures to accelerate skill development. PRACTICAL APPLICATIONS: Test batteries are essential tools for systematically monitoring skill development in cyclists, evaluating education programs, and for guiding the development of effective road safety education. The next step is the validation of such batteries.
INTRODUCTION: In the Netherlands, young cyclists are extremely vulnerable in traffic, which may partly be due to their still underdeveloped higher-order cycling skill. So far, knowledge on their actual level of skill is lacking. Using a computerized test battery mimicking real-life risky traffic conditions, this study assessed the level of higher-order cycling skill in children 11 and 12 years of age and tested the hypothesis that these skills show caveats. Furthermore, factors potentially influencing the development and impact of these skills were studied, such as cycling experience, risky road behavior, crash involvement, and self-assessed skill. METHOD: A total of 335 students (49% female) completed computerized tests on hazard perception, gap acceptance, blind spot strategies, and priority decisions in traffic, and completed questionnaires on cycling experience, risky cycling behavior, crashes, and self-assessment of cycling skill. RESULTS: On the hazard perception test, one-third of the participants missed at least half of the number of hazards. They made errors in about 50% of the priority decisions, accepted critical gaps when crossing the road, and conversely rejected safe gaps; only 1% of the participants identified all blind spots of a truck correctly, while 69% made unsafe decisions when interacting with trucks in traffic scenarios. Overall, in complex traffic situations performance was worse than in simple ones. The hypothesis of lack of skills was therefore accepted. However, the study failed to demonstrate consistent relationships between subtest performance and cycling experience, risky behavior, crashes, and self-assessed skill, which weakens the theoretical assumptions concerning the subtests. CONCLUSIONS: The results suggest that children at the end of primary school are still lacking elementary skills for safe cycling, calling for measures to accelerate skill development. PRACTICAL APPLICATIONS: Test batteries are essential tools for systematically monitoring skill development in cyclists, evaluating education programs, and for guiding the development of effective road safety education. The next step is the validation of such batteries.