The goal of the study was to improve travel data in Flanders by combining different surveys to create a more accurate simulation. They used local socio-demographic data and time-use data to classify households and individuals into groups with similar travel patterns. By analyzing these groups, they were able to create distributions of travel attributes to simulate travel data. The researchers plan to validate the simulation results, test the stability of the outcomes, and update the data regularly. This method will help Flanders develop a local travel dataset and estimate travel-demand models more cost-effectively than traditional surveys.