No two cyclists are alike. The demands and behaviors of cyclists can be very different. Thus, it is enormously challenging to implement adequate measures for all to promote cycling mobility.

On the basis of a bunch of different data and a unique mixed-method approach, we could identify and describe four distinct types of cyclists in our research project. The combination of research methods from social sciences, communication studies and data science facilitated a differentiated examination of the very diverse group of cyclists (all details are included in a recent publication by Heym et al. 2020; unfortunately, this paper is available only in German language).
The result of this research effort (workpackage 3) is now shown as a short film (again, only available in German language). Here, as well, we are breaking new ground in the documentation and communication of scientific activities.