A paper titled ‘Investigation of powered 2-wheeler (PTW) accident involvement in urban arterials by considering real-time traffic and weather data‘ co-authored by Athanasios Theofilatos and George Yannis is now published in Traffic Injury Prevention Journal. This study exploited real-time traffic and weather data from two major urban arterials in the city of Athens, Greece. Because of the high number of candidate variables, a random forest model was applied to reveal the most important variables. Then, the potentially significant variables were used as input to a Bayesian logistic regression model in order to reveal the magnitude of their effect on PTW accident involvement. The results of the analysis suggest that PTWs are more likely to be involved in multi-vehicle accidents than in single-vehicle accidents. It was also indicated that increased traffic flow and variations in speed have a significant influence on PTW accident involvement.
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