Effect of Distraction and Driving Behaviour to Traffic Accidents in Jakarta Using Partial Least Squares Structural Equation Modeling (PLS-SEM)

Abstract

Traffic accidents are the eighth leading cause of death worldwide, and each year, Indonesia reports an increasing number of such incidents. Human error, specifically risky driving behaviour such as distraction, is the primary contributors to the accidents. A thorough understanding of the contributing factors to traffic accidents is crucial to enhancing road safety initiatives. Therefore, this study aimed to design a model to assess the effect of road distraction, driving behaviour, and perception of risk on self-reported crashes by private car drivers in Jakarta, Indonesia, as well as formulate strategies to improve safety. This study used a diverse group of 142 drivers from Jakarta as respondents, utilizing a combination of quantitative methods, such as Partial Least Squares Structural Equation Modelling (PLS-SEM) and Pearson's Chi-square tests, complemented by questionnaire instruments such as the Driving behaviour Questionnaire (DBQ), Road Distractions Scale (RDS), and Risk Perception and Regulation Scale (RPRS). The results showed that driver distractions significantly increase the possibility of lapses, while errors, violations, and risk perception significantly affect the incident of traffic incidents. Furthermore, chi-square analysis showed that men are more likely to commit violations and are more distracted by attractive roadside objects compared to women, who reported a higher incidence of lapses and greater disturbance from weather conditions. This study offered strategic recommendations with the potential to lower accident rates and improve driving safety overall.

Keywords

• driving behaviour
• distracted driving
• driving behaviour questionnaire (dbq)
• road safety
• structural equation modelling (sem)