Exploring the Applications of Spatiotemporal Trajectory Data and GeoAI in Urban Mobility Studies: From Metadata Modelling to Mobility Behaviour Analysis Ghent University
Trajectory data has the potential to provide valuable insights into urban mobility but analyzing it in a semantic manner remains a challenge. We aim to introduce GeoAI techniques (i.e., the integration of geography and AI) into trajectory analysis to study the patterns and trends of urban travel behaviours, which will help to inform urban planning and transportation policy decisions.