New 🚲 preprint! https://arxiv.org/abs/2604.07029
Quality assessment of a country-wide bicycle node network with loop census analysis
We analyzed the new 30000km long Danish #bicycle node network, exploring all 28M round trips in the network up to day-trip length. 🧵
Together with our previous #qgis BikeNodePlanner tool our work has initiated an #opensource ecosystem for data-driven design and assessment of regional bicycle node networks.
Code: https://github.com/mszell/bikenwloops
Data: https://doi.org/10.5281/zenodo.19222642
With @anavybor @ane Thx to DKNT! Funded by https://www.just-streets.eu/
@mszll @anavybor @ane Thanks for sharing!
Is it fair to say that this roughly measures the density of intersections in the network? Which is an interesting metric but not necessarily ideal:
- on the one hand there might be several POIs (school, shop, ...) on a 10km stretch,
- on the other hand it's not always useful to have 20 intersections on the way when going in a straight line.
I see though that some practical parameters (water sources, slope gradient) are mixed in: https://github.com/mszell/bikenwloops/blob/main/parameters/config.yml
Michael Szell
Cycling on Rails