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

• المؤلفون الرئيسيون: Yang, Dongchuan, Li, Yanzhao, Guo, Ju’e, Li, Guang, Sun, Shaolong
• مؤلفون آخرون: Nanyang Business School
• التنسيق: مقال
• اللغة: English
• منشور في: 2024
• الموضوعات: Business and Management; International Tourist Arrivals; Deep Learning
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/173592

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...