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Development of Prediction Models for Motorcycle Crashes at Signalized Intersections on Urban Roads in Malaysia


Citation

Sulistio, Harnen and Radin Sohadi, Radin Umar and Wong, Shaw Voon and Wan Ibrahim, Wan Hashim (2004) Development of Prediction Models for Motorcycle Crashes at Signalized Intersections on Urban Roads in Malaysia. Journal of Transportation and Statistics, 7 (2/3). ISSN 1094-8848

Abstract / Synopsis

Because more than half the motor vehicles in Malaysia are motorcycles, safety of this from of transportation is an important issue. As part of a motorcycle safety program, Malaysia became the first country to provide exclusive motorcycle lanes in the hopes of reducing motorcycle crashes along trunk roads. However, little work has been done to address intersection crashed involving motorcycles. This paper provides models for predicting motorcycle crashes at signalized intersections on urban roads in Malaysia. A generalized linear modeling technique with quasilikelihood approach was adopted to develop the models. Traffic entering the intersection, approach speed, lane width, number of lanes, shoulder width, and land use at the approach of the intersections were found to be significant in describing motorcycle crashes. These findings should enable engineers to draw up appropriate intersection treatment criteria specifically designed for motorcycle lane facilities in Malaysia and elsewhere.


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Additional Metadata

Item Type: Article
Divisions: Institute for Mathematical Research
Publisher: Bureau of Transportation Statistics
Depositing User: Users 17 not found.
Date Deposited: 18 Dec 2008 18:12
Last Modified: 21 Jul 2010 09:28
URI: http://psasir.upm.edu.my/id/eprint/860
Statistic Details: View Download Statistic

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