Effects of Distraction and Riding Behavior Towards Traffic Incidents in Greater Jakarta

This study aims to design a model that correlates distraction and rider behavior with self-reported traffic incidents and assesses behavioral differences among motorcycle riders, which are analyzed and visualized using partial least squares structural equation modeling (PLS-SEM). This study also compares differences in driving behavior among age groups, genders, and driver types (private riders and motorcycle taxi riders).