Cykeln tar plats : En studie om cyklisters omkörningsbeteende och utrymmesbehov i stadsmiljö

Sammanfattning: In today’s traffic planning, there is a lack of knowledge concerning how cyclists behave during overtakings and what space this requires. The purpose of this report is to collect information and knowledge about cyclist behavior in different traffic situations, to increase the chance of bicycle infrastructure being designed in a way that best suits the cyclists themselves. The main topic of this report is how cyclist speed is distributed in bicycle paths of different standards, and how this can be used to determine the performance of a certain bicycle path. It will also be examined how lack of space affects the number of overtakings. Furthermore, the report will inquire how much space an overtaking demands, as well as if the difference in speed can be related to the width and length of an overtaking. The above questions are answered through a literature study where results from existing studies are presented, as well as through a case study where two bicycle paths of different standards and widths are compared. The method for collecting data is video recording, paired with manual video analysis. The most important conclusions of this study are that bicycle paths with more limited width have a larger proportion of bound vehicles, and that this proportion increases with the flow in the opposite direction, at least where width is limited. It was not possible to show any relationship between the width of an overtaking and the speed difference between two cyclists. However, overtaking width was found to be greater on wider bicycle paths than on narrower paths. Results also show that cyclists with greater speed tend to place their vehicle further away from the lane edge than slower cyclists do. Furthermore, it was observed that on bicycle paths with good space standard, there was a linear relationship between flow and the overtaking frequency. Finally, a model to compute the length of an overtaking was developed, but unfortunately this model could not be validated due to lack of measuring resources.