A predictive model of motorcycle accident involvement using structural equation modeling considering driver personality and riding behavior in Metro Manila

• Main Authors: Bathan, Aaron, de Ocampo, James, Ong, Jasper, Gutierrez, Alma Maria Jennifer A., Seva, Rosemary R., Mariano, Ronald S.
• Format: text
• Published: Animo Repository 2018
• Subjects: Motorcycling accidents > Philippines > Metro Manila; Motorcyclists—Philippines—Psychology; Operations Research, Systems Engineering and Industrial Engineering; Personality and Social Contexts
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/442
• Institution: De La Salle University

Road traffic accidents involving motorcycles have been seen to have an upward trend in the Philippines. Previous study by Flores, Gotohio and Paras (2008) was the first and only study that considered linking motorcycle accidents with environmental and personal factors: age, lighting conditions, traffic movement, weather conditions, road character, junction type, time, day, surface conditions and driver behavior. The study fails to expound on the concept of driving behavior as well as failed to include the personality of the driver. The independent variables of the study are driver personality and riding behavior while the dependent variable is accident involvement. The chosen method to analyze the data is Structural Equation Modeling (SEM). The scope of the study would only be in Metro Manila the capital of the Philippines. The purpose of the study is to determine the relationships of driver personality and riding behavior factors as well as to predict accident involvement using the same factors. The findings of the study suggest that normlessness has an inverse relationship with accident involvement, while self-assertiveness, speeding, rule-violations and anger all exhibit a direct relationship. © IEOM Society International.