Get on your bike and go!
A good bicycle infrastructure forms the basis for sustainable, environmentally friendly, and resource-saving mobility in urban areas. However, the traffic transformation is only progressing in very small steps. With our Data Science Challenge, we want to open up new perspectives and fields of action with the analysis of digital bicycle data.
Surely cyclists who are on the road every day know exactly the problem areas of cycling in their own city: How to avoid large, unsafe streets? Where does the bike lane suddenly end in a pothole? How to get from A to B with as much green view and as little bicycle and car traffic as possible? While this is the knowledge that each individual bicyclist carries within themselves, analyzing publicly available urban bicycle traffic data and other urban geographical data can help us connect individual perspectives to analyze the big picture of urban bicycle infrastructure.
Are you up for playing around with urban traffic and bike data to come up with new ideas and ways to analyze bike traffic in specific areas? You want to develop innovative concepts for tomorrow’s traffic turnaround? Then join our Data Science Challenge!