This study addresses challenges in estimating Origin-Destination matrices for multi-modal public transport networks. By integrating various data sources like boarding-alighting data and GTFS, we propose a novel "Entropy-weighted Ensemble Cost Features" method to enhance the performance of the Gravity model when OD matrices estimation for public transport networks.