2020 Volume 6 Issue 2 Pages A_166-A_174
In recent years, bicycle-related accidents in Tokyo Metropolitan area have a tendency to increase. In order to understand the characteristic of bicycle-related accidents on major signalized intersections. This study analyzed the relationship both motor vehicle and cyclist traffic flows and the bicycle-related accidents based on the developed bicycle-related accidents frequency models. In this study, seven definitions of traffic exposure were used, including motor vehicle flows aggregated by movement type and aggregated cyclist traffic flows. Generalized linear mixed model was fitted to the data set collected from 58 signalized major intersections in the Tokyo Metropolitan area. This study showed that cyclist to motor vehicles accident were sensitive to changes in both cyclist and motor vehicle flows. A10% increase in the right and left turn number of motor vehicles that passed through the major intersection would result in a 3.6% and 7.4% increase in the accident occurrence respectively. Furthermore, a 10% increase in bicycle flow was associated with a 3.8% increase in the frequency of accidents.
