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Predictive model for motorcycle accidents at three-legged priority junctions


Sulistio, Harnen and Radin Sohadi, Radin Umar and Wong, Shaw Voon and Wan Ibrahim, Wan Hashim (2003) Predictive model for motorcycle accidents at three-legged priority junctions. Traffic Injury Prevention, 4 (4). pp. 363-369. ISSN 1538-9588; ESSN: 1538-957X


In conjunction with a nationwide motorcycle safety program, the provision of exclusive motorcycle lanes has been implemented to overcome link-motorcycle accident along truck roads in Malaysia. However, not much word has been done to address accidents at junctions involving motorcycle. The article presents the development of predictive model for motorcycle accidents at three-legged major-minor priority junctions of urban roads in Malaysia. The generalized linear modeling technique was used to develop the model. The final model reveals that motorcycle accidents are proportional to the power of traffic flow. An increase in nonmotorcycle and motorcycle flows entering the junctions is associated with an increase in motorcycle accidents. Nonmotorcycle flow on major roads has the highest effect on the probability of motorcycle accidents. Approach speed, lane width, number of lanes, shoulder width, and land use were found to be significant in explaining motorcycle accidents at the three-legged major-minor priority junctions. These findings should enable traffic engineers to specifically design appropriate junction treatment criteria for nonexclusive motorcycle lane facilities.

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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.1080/714040495
Publisher: Taylor & Francis
Keywords: Cross-sectional analysis; Generalized linear models; Junction geometry; Junction treatment criteria; Motorcycle accident models; Motorcycle accidents
Depositing User: Users 17 not found.
Date Deposited: 18 Dec 2008 18:06
Last Modified: 09 Apr 2018 10:38
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1080/714040495
URI: http://psasir.upm.edu.my/id/eprint/861
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