DOI: 10.5176/2301-394X_ACE15.114
Authors: Kamarudin Ambak, Naida Rosli, Basil David Daniel and Joewono Prasetijo
Abstract:
Motorcycles are common mode of transport used in Malaysia compared to other transportation such as cars, buses and trains. However, motorcyclists take up the largest portion of the annual road death statistics. The main cause of fatalities among motorcyclists is injury to the head compared to other parts of body. This paper presents a new intervention to enhance the safety of motorcyclist regarding the head injuries issue. A new conceptual design, which is Safety Helmet Reminder (SHR) system, is novel approach towards the prevention of injuries among motorcyclists in Malaysia. The Technology Acceptance Model (TAM) was adopted to predict behavioral intention to use SHR among motorcyclists. The self- administered questionnaires were distributed among 300 motorcyclists in Batu Pahat, Johor. The data were analysed using correlation and hierarchical multiple regression analyses. The results show that the predictive variables were highly correlated, showing positive linear relationship and significance at 0.01 (p<0.01). In addition, through the hierarchical multiple regression, it was found that perceived ease of use, behavioral intention to use SHR and additional variables (perceived safety, subjective norm and descriptive norm) were found significant (p<0.05). In conclusion, perceived safety, subjective norm, descriptive norm, perceived ease of use and behavioral intention to use technology remained a significant predictor of helmet use. However, perceived usefulness and attitude toward using technology were not significant in predicting helmet use among motorcyclists.
Keywords: motorcyclists; safety helmet; technology acceptance model; regression
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