MATEC Web Conf.
Volume 276, 2019International Conference on Advances in Civil and Environmental Engineering (ICAnCEE 2018)
|Number of page(s)||11|
|Section||Highway and Transportation Engineering|
|Published online||15 March 2019|
Analyzing the influence of age groups of motorcycle riders on traffic violations and accidents in small city using a structural equation model
1 Department of Civil Engineering, Universitas Mataram, 83126, Mataram, Indonesia
2 Department of Civil Engineering, Universitas Udayana, Denpasar Bali, Indonesia
* Corresponding author: firstname.lastname@example.org
Over the last three years, there has been a tremendous increase in the amount of road accidents in Mataram City-Lombok with majority of the victims being motorcycle riders between the ages of 16-40 years. The age difference may have an impact on the rider’s behavior which in turn leads to road accidents. This study aims at investigating the influence of age groups on motorcycle riders resulting to traffic violations and road accidents in Mataram City. Data was collected using questionnaire survey for which 600 respondents participated covering 6 sub-districts in Mataram City. A Structural Equation Modeling (SEM) using AMOS V.22.0 was constructed to analyze the motorcycle rider behavior. The developed model was made up of behavioral, violation and accident latent variables, with four variables of behavior, three variables of violation, and two observed variables of accident. Three age groups were used in this study with three categories consists of 15-24 years, 25-44 years, and 45-64 years old. This study found that these riders behaviors varied significantly with regards to traffic violations. The age groups of riders between 15-24 years and 45-64 years has a 65% influence on traffic violation compared to those between the ages of 25-44 years. Traffic violations with regards to road accidents was however, found to be less significant for all age group. Traffic violations committed by riders between ages of 45-64 years were found to be 14% less than those between the ages of 15-44 years. The analysis obtained from the data indicates that there are differences among the three listed age groups.
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This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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