Relations between the obstacle space of cycling infrastructure and bicycle crashes

Relations between the obstacle space of cycling infrastructure and bicycle crashes: An analysis of Amsterdam

van Weelderen, Guus (TU Delft Civil Engineering and Geosciences)

Hagenzieker, M.P. (graduation committee)
Maat, C. (graduation committee)
Annema, J.A. (graduation committee)
Wijlhuizen, Gert Jan (graduation committee)

Delft University of Technology

Transport, Infrastructure and Logistics

2020-08-13

The objective of this study is to strengthen literature about cyclist safety and help prevent bicycle crashes in the future. It looks into the gap about the relation between the obstacle space of cycling infrastructure (that involves the space that is available for cyclists to avoid crashes with the obstacles therein) and the visibility thereof, and bicycle crashes. Next to a brief literature research, the main method used to answer this question is modelling of generalised linear models with a negative binomial distribution, that link independent variables concerning the obstacle space to the dependent count variable crashes. Results show that the relation is apparent in data concerning 50 km/h streets in the municipality of Amsterdam: infrastructure on a street level can indeed predict bicycle crashes on the same level. Fewer obstacles next to the road and higher widths were found to lead to fewer crashes. For lanes and one-way tracks holds that an increase in width of smaller sections has a bigger impact. The effect of obstacles in the shoulder also reduces at higher widths. A significant relation for light conditions was not found. Further research should look into different types and clustering of obstacles and improve the light analysis. Recommendations include providing dedicated cycling infrastructure with sufficient widths and few obstacles, and better registration of bicycle crashes. The study demonstrates that infrastructure is an important factor for the occurrence of bicycle crashes, that should certainly not be disregarded alongside the road user and vehicle. It hopes to push infrastructure policies for cycling more on the agenda.

Active modes
Road safety
Bicycle crashes
Infrastructure
Generalised linear models
Negative binomial distribution

http://resolver.tudelft.nl/uuid:e566edb9-2627-411f-926e-d33af62298d4

Student theses

master thesis

© 2020 Guus van Weelderen