title: The effect of roundabout design features on cyclist accident rate.
abstract: Roundabouts are known to result in fewer traffic accidents than traditional intersections. However, this is to a lesser degree true for bicycles than for vehicles. In this paper, we aimed at establishing statistical relationships through Poisson regression and logistic regression analyses between yearly rate of cyclist accidents on one hand and roundabout geometry, age and traffic volume (vehicles and cyclists) on the other. We related all roundabout cyclist accidents recorded by the hospital emergency department of the town of Odense, Denmark, through the years 1999-2003 (N=171) to various geometric features, age and traffic volume of all roundabouts on the Danish island of Funen (N=88). Cyclist and vehicle volumes turned out to be significant predictors in most of our models-the higher the volumes, the more accidents. Moreover, potential vehicle speed was a significant predictor, and so was age of the roundabout-older roundabouts related to more accidents and higher accident probability. Excluding 48 single cyclist accidents strengthened the relationship between accidents on one hand and vehicle and cyclist volume and potential vehicle speed on the other. This stresses the significance of speed and traffic volume for traffic accidents with more than one partner involved. The 48 single cyclist accidents were significantly related to the traffic volume of cyclists only. Due to our limited number of observations, the models should be regarded as indicative.
authors.affiliation: Danish Transport Research Institute, Knuth-Wintherfeldts Allé, Building 116 West, DK-2800 Lyngby, Denmark. ths@dtf.dk
authors.forename: Tove
authors.initials: T
authors.lastname: Hels
authors.forename: Ivanka
authors.initials: I
authors.lastname: Orozova-Bekkevold
mesh_terms: D000063:Accidents, Traffic / Q000517:prevention & control / Q000706:statistics & numerical data*; D001334:Automobile Driving; D001642:Bicycling / Q000293:injuries*; D003718:Denmark; D006801:Humans; D016015:Logistic Models; D016012:Poisson Distribution; D012189:Retrospective Studies