Network analysis of the Danish bicycle infrastructure

In this research project we will apply state of the art metrics and tools from network analysis on Danish open data bicycle infrastructure networks collected from e.g. OpenStreetMap, and additionally incorporate knowledge from cycling planners and mobility researchers, to develop a scientific, evidence-based framework to suggest where to add new network connections or other interventions for improving sustainable bicycle infrastructure. While there are generally good cycling conditions in Denmark, there are many areas that have a quite poor connectivity. Using access to everyday amenities as a baseline can also show that it is not enough to install bicycle lanes – they need to be in the right location and connect to the right places. This research will explore weighting the network according to different attributes to get a more detailed understanding of how connectivity and accessibility might vary for different types of cyclists (in line with Levels of Traffic Stress). We will also use this weighted network to examine cyclists’ access to everyday amenities and facilities, in order to, for example, identify areas where you cannot comfortably cycle to basic amenities (inspired by the 15-minute city). Further, we will explore the effect of high stress intersections on network connectivity for vulnerable road user demographics such as children, and incorporate the distribution of people and workplaces in the analysis. Finally, we aim to develop an interactive web mapping tool that visualizes the results and has the ability to run analyses based on individual demographic variables or preferences of cyclists.