Traffic Accident Risk Analysis by Knowledge, the Use of Traffic Lane, and Speed

Author:

Hidayati Annisa,Hendrati Lucia Yovita

Abstract

Traffic accidents are a health problem in both developed and developing countries including Indonesia. Number of traffic accidents each year has increased and traffic accidents in Indonesia is considered by WHO as the third biggest killer after coronary heart disease and tuberculosis. Most traffic accidents involving motorcyclists and the current junior high school students are also involved as a perpetrator of the accident. This study was conducted to determine the relationship of knowledge, the use of traffic lane and the driving speed with the incidence of traffic accidents in junior high school students motorcyclists. Type of research is analytic observational cross-sectional study design. The study population was all junior high school students in Wonokromo Surabaya in 2015. The number of respondents in this study of 100 respondents drawn from the population by using two stage cluster random sampling. The variables studied were knowledge, the use of traffic lane and the driving speed. Results of analysis using chi square test (α = 5%) indicate that knowledge (p = 0,027; RR = 1,966), the use of traffic lane (p = 0,005; RR = 1,894) and the driving speed (p = 0,017; RR = 1,941) has a significantly relationship to the incidence of traffic accidents to junior high school students motorcyclists in Wonokromo sub-district Surabaya 2015. Especially under age children of junior high school student are encouraged to not ride a motorcycle before age sufficient and have a driver’s licence. Beside that, the role of parents to prevent underage motorcyclists is needed to support the efforts of the police and schools in minimizing the number of accident to reduce the number of junir high school student involved in a motorcycle accident.Keywords: traffic accident, risk factors, knowledge, traffic lane, speed

Publisher

Universitas Airlangga

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Implementation of the EAR Method in Detecting Drowsiness in Vehicle Drivers;JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA);2024-04-30

2. SDG 3 in mind: Health and well-being profile of junior high school students;AIP Conference Proceedings;2022

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