Foreign motorcyclists are prone to greater risks than the locals in most countries around the world. Some of the risk parameters that can be identified, such as lack of knowledge of traffic regulations, inadequate driving skills, different seasons, and general attitudes towards traffic safety that are reflected in driving behaviour. Along with the development of tourism, the number of foreign motorcyclists also increases. Therefore, the safety measures are essential. In this research, we study the influence of local road and traffic conditions, the influence of local motorcyclists and law enforcement on the behaviour of foreign motorcyclists around tourism areas in Bali. The method used is Structural Equation Modeling (SEM). The expected contribution is a model that finds the dominant factors influencing foreign motorcyclists’ behaviour, which can significantly reduce the risk of accidents involving foreigners. The results are the local road and traffic factors affect foreign motorcyclists’ behaviour with a bootstrapping value of 2.426. And local motorcyclists and law enforcement also affect with a bootstrapping number of 3.874. Both factors positively affect foreign motorcyclists’ behaviour with a coefficient of 0.217 and 0.371. The research concluded that the behaviour of foreign motorcyclists in tourist areas in Bali is highly influenced by the behaviour of local motorcyclists and law enforcement by authorized officials. It shows that the more stringent enforcement of the law, the better the behaviour of foreign motorcyclists. Additionally, road and traffic conditions also affect the behaviour of foreign motorcyclists. The better foreign motorcyclists’ behaviour will reduce the risk of accidents.


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    Title :

    Analysis of the Behaviour Model of Foreign Motorcyclists in Tourism Areas in Bali


    Additional title:

    Lecture Notes in Civil Engineering



    Conference:

    International Conference on Rehabilitation and Maintenance in Civil Engineering ; 2021 ; Surakarta, Indonesia July 08, 2021 - July 09, 2021



    Publication date :

    2022-07-19


    Size :

    14 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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