Comparison of moped, scooter and motorcycle crashes: Implications for rider training and education
Notice bibliographique
Résumé
Scooter and moped sales have increased at a faster rate than motorcycle sales over the last decade in countries such as Australia, Canada and the United States. This may be particularly evident in jurisdictions where moped riding is permitted for car license holders and a motorcycle license is not required, such as in Queensland, Australia. Having historically comprised only a small proportion of powered two-wheelers (PTWs) outside of Europe and Asia, the safety of scooters and mopeds has received relatively little focused research attention. However, the recent trends in sales and crash involvement have stimulated greater interest in these PTW types. The current paper examines differences and similarities between scooters (over 50cc), mopeds (up to 50cc) and motorcycles in crash involvement and crash characteristics through analyses of crash and registration data from Queensland, Australia. The main findings include that moped and scooter riders are similar in terms of usage patterns, but the evidence suggests superior skills, greater experience and safer behaviour among scooter riders than moped riders. The requirement in Queensland for scooter riders but not moped riders to hold a motorcycle license, usually obtained through competency-based training and assessment, may help to explain some of this difference. Findings also suggest that scooter riders are safer than motorcycle riders in some respects, despite both being subject to the same licensing requirements which encourage participation in rider training. Safer attitudes and motivations rather than superior skills and knowledge may therefore underlie the differences between scooter and motorcycle riders. In summary, riders of larger scooters exhibit a combination of skills and behavior suggestive of safer riding than both their moped and motorcycle riding counterparts. It is reasonable to expect that mopeds and scooters will remain popular and that their usage may increase further, along with that of motorcycles. This research therefore has important practical implications regarding pathways to improved PTW safety. Future policy and planning should consider options for encouraging moped riders to acquire better riding skills and greater safety awareness, as apparent among scooter riders, including rider training, education and licensing. As is noted in recent literature and reflected in some contemporary rider training programs, motorcycle safety may be improved by addressing rider attitudes more comprehensively in addition to developing skills and knowledge.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,003 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».