Compliance with Road Safety Regulations Among Commercial Motorcyclists in Nigeria
Bibliographic record
Abstract
Motorcycles account for one out of every four vehicles involved in crashes in Nigeria. The basic question has always been that do these motorcyclists comply with basic requisite safety rules? This paper therefore examined the level of compliance with some basic road traffic regulations among commercial motorcyclists commonly called okada. The data for the analysis were collected from 334 commercial motorcyclists from Samaru-Zaria in Northern Nigeria through structured questionnaire triangulated with observation and inspection. The data were analysed using descriptive statistics and phi- coeffi cient. The study found total (100%) compliance with minimum age limit, number plate registration and motorcycle engine capacity but found 64, 16 and 45 per cent compliance rate with driver license, crash helmet usage and legal passenger permissive respectively. The phi coefficients reveal that there is no single factor that has all-through association with license holding helmet usage and Highway Code awareness. Union membership has negative association with two of the cases, which confi rms the antiregulation compliance posture of the okada union in the study area. The paper recommends the overhauling of the driver licensing system; enforcement of road traffic rules to enhance compliance and enactment of state traffi c regulations to reinforce the national regulations. Key words: Informal transport; Safety; Regulations; Compliance; Nigeria Resume La Moto compte pour un des quatre vehicules impliques dans des accidents au Nigeria. La question a toujours ete que ne motocyclistes se conformer a ces regles elementaires de securite requises? Ce document a donc examine le niveau de conformite avec certaines regles de base de la route parmi les motocyclistes communement appeles Okada. Les donnees pour l’analyse ont ete recueillies a partir de 334 motocyclistes commerciaux de Samaru-Zaria au nord du Nigeria par le biais questionnaire structure triangulees avec observation et de controle. Les donnees ont ete analysees a l’aide de statistiques descriptives et phi-coeffi cient. L’etude a revele total, ce qui est de 100%, le respect de la limite d’âge minimum, la plaque d’immatriculation nombre et la capacite de moteur de moto, mais trouve 64, 16 et 45 pour cent le taux de conformite avec le permis de conduire, l’utilisation du casque et le passager juridique permissive, respectivement. Les coeffi cients phi revelent qu’il n’ya pas de facteur unique qui a tout-a travers l’association avec la licence detention, le port du casque et de sensibilisation code de la route. Adhesion a l’Union a une association negative avec deux des cas, ce qui confi rme le respect de la posture anti-reglementation de l’union okada dans la zone d’etude.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".