Muhammad Asyraf Mohd Kassim
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Preferred name
Muhammad Asyraf Mohd Kassim
Official Name
Muhammad Asyraf, Mohd Kassim
Alternative Name
Asyraf, Muhammad
Mohamed Kassim, Muhammad Asyraf
Kassim, Muhammad Asyraf Mohd
Main Affiliation
Scopus Author ID
57191410039
Researcher ID
AAE-3270-2020

Research Output

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  • Publication
    Road accident proneness in Malaysia: A hypothesized model of driver's demographic profiles, aggressive driving and risky driving
    ( 2021-05-03)
    Muhammad Asyraf Mohd Kassim
    ;
    Hanan S.A.
    ;
    Muhammad Safizal Abdullah
    ;
    Hong C.P.
    Road accidents are considered one of the most severe threats to the motoring public globally, including Malaysia. There was a considerable number of vehicles involved in road accidents, specifically motorcycles and motorcars. Together, they recorded the highest number of vehicles involved in accidents on Malaysian roads. Malaysian authorities on road safety and transportation have taken numerous efforts such as public education, campaign, and traffic rules enforcement in order to reduce accident rates among the most accident-prone road users, namely drivers of motorcars and motorcycles. However, evidence suggests that accident rates among these accident-prone drivers remain high. Thus, motorcar and motorcycle drivers, by far, remains as high-risk road users on Malaysian road. Many studies in the past attempted to discover factors that contribute to the high number of road accidents among these high-risk drivers. However, these studies were engineering-based, and countermeasures suggested from behavioral studies are still scarce. Therefore, the present study aims to bridge the existing gap. Specifically, this study will propose a conceptual framework to investigate the relationship and influence of behavioral variables on road accident proneness among motorcar and motorcycle drivers. The framework is expected to aid government agencies such as JPJ, PDRM, JKJR, and Ministry of Transport in the planning of effective road safety campaigns, education, and enforcement by targeting a specific group of high-risk road user.
      1
  • Publication
    Assessing the factors affecting road accident involvement among motorcycle riders using partial least squares structural equation modeling approach
    ( 2023-06-12)
    Amiruddin A.H.
    ;
    Muhammad Asyraf Mohd Kassim
    ;
    Muhammad Safizal Abdullah
    ;
    Hanan S.A.
    ;
    Wan Mashumi Wan Mustafa
    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.
      1
  • Publication
    A partial least square approach to predict direct and indirect effects of personality traits, aggressive driving and accident proneness: An integrated safety and logistics framework
    ( 2020-08-01)
    Muhammad Asyraf Mohd Kassim
    ;
    Hanan S.A.
    ;
    Abullah M.S.
    ;
    Aziz A.B.
    ;
    Hong C.P.
    Accident Proneness is still a new concept in road safety studies in Malaysia. The study aims to examine the measurement model of personality traits, aggressive driving and accident proneness in a large sample of Malaysian licensed drivers. A further aim is to investigate both direct and indirect effects of personality traits and direct effects of aggressive driving on accident proneness. Data were collected using by-hand survey. Participants were 732 fully licensed motor vehicle drivers, including 490 males and 242 females who completed a questionnaire including the Five Factor Personality Traits, Aggressive Driving, items related to drivers' accident records and demographic characteristics. The result of PLS-SEM analysis revealed satisfactory measurement model of five factor personality traits, aggressive driving and accident proneness with acceptable convergent and discriminant validity. The results further show that the personality traits of conscientiousness negatively relate to accident proneness and aggressive driving. Openness to experience and aggressive driving are positively related to accident proneness while agreeableness is negatively related to aggressive driving and neuroticism is positively related to aggressive driving. In addition, the results show that agreeableness, conscientiousness and neuroticism have indirect effects on accident proneness through aggressive driving.
      1