The contribution presents a transport demand model based on open data and freely available information. The model is based on the classic sequential four-step model structure but runs on microscopic scale using disaggregate data. It includes the modes ‘walk’, ‘cycle’, ‘car’ and ‘public transport’. Various open data sources and information are used to estimate and run the model, such as OpenStreetMap data and freely available census and postal data, freely accessible information (e.g., mobility indicators) from publications of national and urban household surveys on traffic behavior or freely available information on transport costs. The result of the study is a disaggregate microscopic transport model for passenger transport. The proof of concept reveals a high initial model accuracy and its responsiveness to different measures.