Transit Performance Assessment and Route Choice Modelling Using Smart Card Data

For more than a decade now, automated transit data collection systems (like the smart card and Automatic Vehicle Location) have been implemented, providing access to a massive amount of passively collected data. Being relatively new, they have not yet been explored to their full potential. This thesis focuses on leveraging such data to make advances in transit performance assessment and route choice modeling, in the context of urban multi-modal transit networks.