Brussels Cycling Potential 🚲

In this map I try to find out which streets in Brussels are under- or over-used by cyclists. I do this by comparing the actual trip count on each road segment to a predicted count.

Why I made this

I hope this map, or a similar exercise, could help city officials and traffic managers identify issues and/or usage potential: which potentially useful roads seem to be avoided, and why? Are there any unexpected routes taken? How could we improve our infrastructure along these routes? Etc.

How I made this

I use the BikeDataProject 'bicycle count dataset' for the actual count. I must note that this dataset is still relatively small, and probably skewed towards recreational, affluent bikers living in the richer part of town (center, South and East).

To estimate the predicted usefulness of each road segment, I use the so called betweenness centrality measure for graphs (here the Brussels street network is the graph). The algorithm for this measure computes the shortest path between every pair of graph nodes (road crossings) and keeps count of how many times those paths pass through each node, to arrive at some measure for node importance. I carried the resulting count over to the graph's edges (street segments) that are touching each node, and apply some local averaging to arrive at a predicted trip count.

What I found

What do you observe?

Contact me

This map was made by Manuel Claeys Bouuaert in March 2021. More about me and some other maps on my portfolio website.

I'm happy to talk about where this project could go. Feel free to send me an email!