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Title: An investigation on multi-vehicle motorcycle crashes using log-linear models
Authors: Haque, M.M. 
Chin, H.C. 
Debnath, A.K. 
Keywords: Crash risks
Log-linear model
Motorcycle safety
Night-time conspicuity
Issue Date: Feb-2012
Citation: Haque, M.M., Chin, H.C., Debnath, A.K. (2012-02). An investigation on multi-vehicle motorcycle crashes using log-linear models. Safety Science 50 (2) : 352-362. ScholarBank@NUS Repository.
Abstract: Motorcyclists are the most crash-prone road-user group in many Asian countries including Singapore; however, factors influencing motorcycle crashes are still not well understood. This study examines the effects of various roadway characteristics, traffic control measures and environmental factors on motorcycle crashes at different location types including expressways and intersections. Using techniques of categorical data analysis, this study has developed a set of log-linear models to investigate multi-vehicle motorcycle crashes in Singapore. Motorcycle crash risks in different circumstances have been calculated after controlling for the exposure estimated by the induced exposure technique. Results show that night-time influence increases crash risks of motorcycles particularly during merging and diverging manoeuvres on expressways, and turning manoeuvres at intersections. Riders appear to exercise more care while riding on wet road surfaces particularly during night. Many hazardous interactions at intersections tend to be related to the failure of drivers to notice a motorcycle as well as to judge correctly the speed/distance of an oncoming motorcycle. Road side conflicts due to stopping/waiting vehicles and interactions with opposing traffic on undivided roads have been found to be as detrimental factors on motorcycle safety along arterial, main and local roads away from intersections. Based on the findings of this study, several targeted countermeasures in the form of legislations, rider training, and safety awareness programmes have been recommended. © 2011 Elsevier Ltd.
Source Title: Safety Science
ISSN: 09257535
DOI: 10.1016/j.ssci.2011.09.015
Appears in Collections:Staff Publications

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