GIS-based tourist flow prediction for smart scenic areas using multi-source data fusion and deep learning
A hybrid deep learning architecture combining Convolutional Neural Networks, Bidirectional Long Short-Term Memory, and an Attention Mechanism is developed to capture complex spatial and temporal dependencies in tourist flow patterns and provides an effective tool for visitor flow forecasting, spatial management, and su...