Casual Model Development for Severity of Motorcycle Accidents: The Industrial Area of Eastern Economic Corridor (EEC)
DOI:
https://doi.org/10.53848/jlsco.v10i2.267787Keywords:
Motorcycle Accidents, Factor of accidents, Severity of accidentsAbstract
The purposes of this study were: 1) to analyze the appropriate components in developing a causal model for severity of motorcycle accidents; 2) to verify the consistency of the causal model and empirical data; and 3) to study the direct and indirect effects of Various variables affect the severity of motorcycle accidents in the industrial area of the Eastern Economic Corridor. The sample was 600 motorcycle riders in three provinces, namely Chachoengsao,Chonburi, and Rayong. The data was collected by a convenient random sampling method.The questionnaire was used as a tool for collecting data. The questionnaire was examined for validity by experts. The IOC index was 0.90, and the confidence level was 0.869. This research analyzed the causal relationship using structural equation modeling techniques. The results showed that personal variables, motorcycle variables, and environmental variables were variables that affected the severity of motorcycle accidents. The model was consistent with the empirical data. The harmonization was tested, and the results were within the acceptable range. The influence was tested and found that the motorcycle variable had the highest total effect (β=0.708), directly and indirectly affecting motorcycle accident severity, followed by the personal variable (β=0.445), and the environment variable had a negative direct influence (β=0.244) and an indirect influence in the positive direction (β=0.168). The researchers recommend that motorcyclists receive proper training and education on safe driving practices.Including motorcycle maintenance by using protective equipment and obeying traffic rules,road infrastructure and safety measures should be improved.
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