The Federal Office for Building and Regional Planning (BBSR) has published initial results on the transformation of large-scale parking lots – with model cities Dortmund, Görlitz and Ulm.
Together with GGR, we have created a data and methodological basis for systematically recording and evaluating parking spaces – with the help of remote sensing, geodata and machine learning.
Three central transformation paths were developed:
Structural transformation
→ Subsequent use for housing, commerce, social infrastructure – if suitable from an urban planning and environmental perspective.
Activation of open spaces
→ Unsealing and greening to improve the microclimate, quality of stay and climate adaptation.
Optimization
→ Multifunctional use, e.g. through photovoltaics, mobility hubs or temporary public use.
The typology developed can be used to evaluate specific areas and support overarching development goals in planning.
📊 The basis for this is automated analyses – and reliable data. You can find more information on our approach here.