Transit trip chaining paper published in DST

Our paper “Enhanced Seasonal Typology-Informed Transit Trip Chaining via Mobile Boarding and Survey Data” is published in Data Science for Transportation (Vol. 6, Article 19). This one builds on the typology work by incorporating seasonal passenger patterns into trip chaining — the gradient boosting spatial error correction cuts MAE by 70% compared to standard approaches.