Regional tourism demand forecasting with spatiotemporal interactions: a multivariate decomposition deep learning model

• Main Authors: Yang, Dongchuan, Li, Yanzhao, Guo, Ju’e, Li, Guang, Sun, Shaolong
• Other Authors: Nanyang Business School
• Format: Article
• Language: English
• Published: 2024
• Subjects: Business and Management; International Tourist Arrivals; Deep Learning
• Online Access: https://hdl.handle.net/10356/173592
• Institution: Nanyang Technological University

With the advancement of economic globalization and regional integration, regional tourism flows are more closely linked, which provides new clues for improving forecasting. This study develops a multivariate decomposition deep learning model to forecast tourism demand by capturing spatiotemporal int...