IDENTIFYING THE VEHICLE ACCIDENT MODELS BASED ON DRIVING BEHAVIOR FACTORS USING STRUCTURAL EQUATION MODELING

The increase in population is accompanied by an increase in the number of vehicles. It is inevitable that the number of vehicle accidents will also increase, which can be caused by various factors. Driver factors reviewed in this study include socioeconomic characteristics, movement characteristics, accident characteristics, and driver behavior characteristics. the purpose of this study is to study the vehicle accident model using interviews and Driving Behavior questionnaires with a total of 307 motorist respondents who have experienced accidents. Driver factors reviewed in this study include socioeconomic characteristics, movement characteristics, accident characteristics, and driver behavior characteristics using interviews and Driving Behavior questionnaires with a total of 307 motorist respondents who have experienced accidents. This investigate used SEM (Structural Equation Modeling) with SmartPLS computer software. Twowheeled vehicle accident modeling results Y= –0.234X1+0.153X3+ +ei2; R² = 0.102. The greatest influence occurs in the characteristics of driver behavior (X3), namely Ordinary Violation, and for fourwheeled vehicle accident modeling results, Y= –0.343X1+0.284X3+ei2; R²= 0.217. The greatest influence occurs in driver behavior characteristics (X3), namely Ordinary Violation. Ordinary Violation is defined as a deliberate deviation from the rule of law. Thus, from the research results, the most influential variable was the behavior of drivers who committed ordinary violations such as ignoring speed limits, breaking through intersections, and driving under the influence of alcohol.