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Article

MODELING MOTORCYCLE ACCIDENT SEVERITY IN THE PHILIPPINES USING HELMET USE, RIDING EXPERIENCE, AND DRIVING BEHAVIOUR

DOI: 10.7708/ijtte.2017.7(3).05


7 / 3 / 342-353 Pages

Author(s)

Rosemary R. Seva - Industrial Engineering Department, Gokongwei College of Engineering De La Salle University, 2401 Taft Avenue, Malate, Manila, Philippines -


Abstract

The study aims to characterize motorcyclists’ behaviour in the Philippines and its relationship in predicting the type of injury sustained during an accident. It is hypothesized that violations are likely predictors of serious injury. A survey questionnaire was used to gather data on accident experience and severity, demography, driving experience, and helmet use. Driver behaviour was characterized using the Manchester Driver Behaviour Questionnaire. Logistic regression (LR) was used to model the chance of suffering from serious or minor injury during a MC accident. Significant predictors of serious injury are drunk driving, non-usage of helmets, and underestimating the speed of oncoming vehicle when overtaking. The first two are violations that have already been addressed enactment of laws. However, current behaviour showed that these laws did not change the behaviour of MC riders as expected. Results indicate that the use of helmets had been effective because most of the injuries were concentrated in the lower limbs. The length of MC driving experience did affect the seriousness of injury.


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