On behalf of the German cycling Association we developed a statistical model in 2023 to estimate the effects of cycling policies on the actual uptake of cycling in Germany (see link below). While most models focus primarily on travel times and costs, our approach combines personal and trip data from the largest mobility survey in Germany (MiD 2017) with regional data, such as the quantity of cycling infrastructure. This allows us to demonstrate that with a cycling-friendly environment, similar to that of the Netherlands, a comparable model share of cycling can be achieved in Germany.
While our report received widespread ackowledgment in Germany, we see valuable opportunities for enhancement in two key areas:
• The data from MiD 2017 is somewhat outdated, and we anticipate the results from MiD 2023 to be released this summer
• We have identified a statistical method that could better align with our objectives compared to the one we initially utilized.
To address these issues, we plan to update our model and publish the results later this year. We also think this model structure has a big potential to be used in other countries where similar surveys exist.
In our workshop, we aim to share our experiences with researchers from various fields and invite them to explore possibilities to:
• Further enhance the model
• Adopt our model concept to their own countries’ cycling data and policies
• Collaborate on a a pan-European or cross-country initiative
We invite everybody interested to join our workshop. Participants will have the opportunity to contribute in working groups and to develop own reseach topics or use cases.