@article{ref1,
title="Analysing motorcycle injuries on arterial roads in bali using a multinomial logit model",
journal="Journal of the Eastern Asia Society for Transportation Studies",
year="2010",
author="Wedagama, Priyantha and Dissanayake, Dilum",
volume="8",
number="",
pages="1892-1904",
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%.<p />",
language="",
issn="1341-8521",
doi="",
url="http://dx.doi.org/"
}