A Spatio-Temporal Multimodal Deep Learning Framework for Taxi Demand Prediction From Multi-Source and Mixed-Type Data
Metro systems are fast and high-capacity but cannot provide door-to-door service, so their accessibility depends on first- and last-mile connections. Taxis bridge the longer and less reliable of these trips, so predicting taxi demand at metro stations is essential for allocating feeder fleets and improving accessibilit...