Citation

Wedagama P, Dissanayake D. J. East Asia Soc. Transp. Stud. 2010; 8: 1892-1904.

Copyright

(Copyright © 2010, Eastern Asia Society for Transportation Studies)

DOI

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PMID

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Abstract

This paper aims to investigate the influence of accident related factors on motorcycle injuries on 2 arterial roads in Bali. Multinomial logit (MNL) models are estimated considering 3 severity classes such as slight injury, serious injury, and fatal injury as response variables using local police data as explanatory variables. The analysis shows that there are 4 variables associated with motorcycle injuries. Sideswipe accidents involving motorcyclists were 51.7% less likely resulting in serious injuries than slight injuries. In addition, motorcycles collided with other vehicle(s), either motorist/motorcyclist failed to yield and motorcycle at fault were 89.1%, 60.7%, and 44%, respectively less likely resulting in fatal injuries than slight injuries. Probability analysis shows that a change in 1% of these variables could influence motorcycle injuries between 33% and 34%.