The Copenhagen bicycle network

<p>Welcome to the first blog post of&nbsp;<strong>cities.by.bike</strong>! You might know us from visualizing cities&nbsp;<strong>only by their bicycle infrastructure&nbsp;</strong>on Instagram (<em>@cities.by.bike</em>). 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 &ldquo;black holes&rdquo; for cyclists.</p> <p><img alt="" src="https://miro.medium.com/v2/resize:fit:700/1*ZuR05KmMdwswz0S8boK_OQ.jpeg" style="height:875px; width:700px" /></p> <p>Photo credit: Hugo Shackleton</p> <p>However, in this article we want to take one (or more) extra steps to analyze a cities&rsquo; bicycle infrastructure.<br /> 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.</p> <p><a href="https://medium.com/@cities.b.bike/the-copenhagen-bicycle-network-3e89ad3908cc"><strong>Click Here</strong></a></p>