About this document
Satyagraha y Kurnia - 2025 - Forecasting Tourism Demand A Bibliometric Review of Trends, Methodologies, and Big Data Integration by david88tlb is a document available to read on EtoBox.
This study provides a bibliometric review of trends and methodologies in tourism demand forecasting from 2015 to 2024, emphasizing the integration of big data and artificial intelligence. It highlights a significant increase in publications related to deep learning models, particularly CNN and LSTM, since 2018, which have shown superior capabilities in handling complex demand patterns. The findings aim to inform practitioners and policymakers in optimizing resource allocation and decision-making in the tour
- Author
- david88tlb
- Language
- EN