Public Perception on Motorcyclist Safety Prevention Methods using Structural Equation Modelling

Abstract

Motorcycle-related road accidents are the most frequent cause of road traffic injuries reported in Malaysia. One of the key approaches of the Safe System strategy used internationally to address the road casualty reduction goals and targets for interim and long term planning was by improving the vehicle safety system. In this study, feedback regarding the prevention methods that could help reduce the occurrence of motorcycle accidents was obtained from drivers and motorcyclists. In total, five components of safety prevention methods were established and quantitative data were measured from a set of questionnaires distributed all over Malaysia. The questionnaires were designed to understand the public perception on effective methods to address the current road safety issues. Items in the questionnaire were analysed by Structural Equation Modelling using AMOS 25.0 to enable an informed decision based on the data obtained. The primary objectives of this study are to assess the validity and reliability of the measurement model using structural equation modelling based on the public perception of motorcyclists safety prevention methods. In this study, all the measurement models achieved their validity and reliability at the required level. The fitness index based on CR and AVE values were higher than 0.50, thereby indicating that the measurement model achieved the level of acceptance required. In addition, the constructed variables were statistically significant based on the factor loading values that were greater than 0.6 for each construct.