Forecasting Regional Tourism Demand in Morocco from Traditional and AI-Based Methods to Ensemble Modeling.
Tourism is crucial to Morocco's economy, contributing 7.1% to GDP in 2019. However, it's vulnerable to external shocks. This study forecasts tourist arrivals to Marrakech-Safi using conventional (ARIMA, AR, linear regression) and AI-based (SVR, XGBoost, LSTM) models, then develops hybrid models combining both via ensemble learning. Results show hybrid models outperform individual methods, demonstrating their ability to overcome individual limitations.