Incorporating geographic knowledge or concepts into machine learning (ML) might help to reduce the required amount of training data and improve the performance and explainability of ML models. This research will explore how neuro-symbolic Geospatial AI (GeoAI) can be developed, with a focus on applications in urban and mobility analytics.