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    Assessing the factors affecting road accident involvement among motorcycle riders using partial least squares structural equation modeling approach
    This research investigates the factors that influence high numbers of road fatalities and accidents among motorcycle riders. This study proposes a conceptual framework that illustrates how high-risk road users, such as motorcycle riders, can prevent road accidents by fostering high-impact preventive countermeasures for sustainable traffic safety. Several critical variables on road user behavior related to road accident involvement are presented in a conceptual framework. The proposed conceptual framework suggested that behavioral factors such as anger, attitude, and sensation seeking affect the motorcycle riders' involvement in a road accident. Additionally, mindfulness plays an important mediating role between behavioral factors and road accident involvement. The proposed framework considers a comprehensive set of reviews rarely discussed in the existing literature. Partial least squares structural equation modeling (PLS-SEM) was proposed to evaluate the proposition of the latent variables and their influence on road accident involvement. The proposed path model indicated that mindfulness has a strategic role in reducing road accident involvement, having an indirect effect through riding anger, attitude and sensation seeking. The study could benefit transportation authorities and agencies in Malaysia to execute high-impact countermeasures to reduce road accident involvement among motorcyclists in Malaysia.
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