Spatial Graph-Enhanced Accommodation Demand Forecasting Using KD-Tree: Algorithm-Agnostic Validation with Explainable AI
Accurate accommodation demand forecasting is critical for revenue optimization and resource allocation in the hospitality industry. This study proposes a spatial graph-based forecasting framework that constructs a KD-Tree proximity network between 1,455 hotel properties and 452,044 tourism activities sourced from the T...