Prediction of helmet use among Malaysian motorcyclist using structural equation modeling
In Malaysia, 50% of fatalities in road traffic accidents were from motorcycle users. Head injuries found is a major cause leading to death. Despite the safety helmet is the best protective equipment to prevent or reduce head injury, majority motorcycle user did not use or did not fasten properly....
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Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
AENSI Publishing Corporation
2010
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Subjects: | |
Online Access: | http://eprints.uthm.edu.my/7818/1/J5669_9933795ef8553ff18fbe8b01b63dd639.pdf http://eprints.uthm.edu.my/7818/ |
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Summary: | In Malaysia, 50% of fatalities in road traffic accidents were from motorcycle users. Head
injuries found is a major cause leading to death. Despite the safety helmet is the best protective
equipment to prevent or reduce head injury, majority motorcycle user did not use or did not fasten
properly. In understanding this problem, the behavioral sciences theory and engineering aspect are
needed to provide better explanation and comprehensive insights into solutions. The Theory Planned
Behavior (TPB) and Health Belief Model (HBM) were used in predicting the behavioral intention
toward proper helmet usage among motorcyclist. Results show that the constructs variables are reliable
and statistically significant with the exogenous and endogenous variables. A multivariate analysis
technique, known as Structural Equation Model (SEM) was used in modeling exercise. The full
structured models were proposed and tested, thus the significant predictors were identified. Finally,
the TPB model with good-of-fit indices was selected as the best model in predicting motorcyclist
behavioral intention toward usage of safety helmet. |
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