This report presents the development of Geographically Weighted Regression (GWR) models for predicting public transit use for home-based work trip purpose. A large array of potential transit use predictors were considered, including demographic, socioeconomic, land use, transit supply quality, and pedestrian environment variables. The best predictors identified through model estimation include ...