RESEARCH ARTICLE


The Role of Attitude, Behavior, and Road Conditions in Traffic Violation among Workers and Students in Bandung City, Indonesia



Dwi Prasetyanto1, Muhamad Rizki1, *, Andrean Maulana1
1 Department of Civil Engineering, The National Institute of Technology, Bandung, Indonesia


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Creative Commons License
© 2021 Prasetyanto et al.

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

* Address correspondence to this author at the Department of Civil Engineering, The National Institut of Technology, Bandung, Indonesia; E-mail: muhamadrizki1404@itenas.ac.id


Abstract

Introduction:

This study aims to explore the attitudes towards riding safety, behavior regarding safety gear, documents, and vehicle and riding preparedness, and perceived road conditions among worker and student motorcyclists, and the influence of these on their violation behavior.

Methods:

To further explore the violation behavior, the effects of the infrastructure quality, personal and travel characteristics, and the experience of accidents were also included in the variables. This study collected data on motorcycle users’ behavior in Bandung City and used Structural Equation Modeling (SEM).

Results and Discussion:

This research underlines that behavior regarding safety gear, documents, and vehicle and riding preparedness is an important factor that decreases the violation behavior. Interestingly, a positive attitude towards safe riding does not straightforwardly lead to better behavior in preparing the vehicle, safety gear, and documents.

Conclusion:

Good quality infrastructure also promotes a reduction of traffic violations. Improving road infrastructure safety and both promoting and monitoring users’ safe riding behavior are suggested to lower the number of traffic violations.

Keywords: Traffic safety, Violation, Behavior, Structural equation modeling, Maximum likelihood estimation, Generalized least square.