Welcome to the first blog post of cities.by.bike! You might know us from visualizing cities only by their bicycle infrastructure on Instagram (@cities.by.bike). This means that we draw all bikelanes, cycleways and bicycle tracks of a city. Like this, one can detect areas which are well equipped with infrastructure and also the “black holes” for cyclists.
Photo credit: Hugo Shackleton
However, in this article we want to take one (or more) extra steps to analyze a cities’ bicycle infrastructure.
One approach would be to use actual mobility data, but this is limited to having access to such data and the biases within it; for example a cyclist might take a longer route because it is safer or more comfortable for cycling.