Application of COEMD-S-SVR model in tourism demand forecasting and economic behavior analysis: The case of Sanya City
该研究结合经验模态分解、支持向量回归和误差因子调整，提出COEMD-S-SVR模型预测三亚市旅游需求，并通过矩形-移动矩阵分析经济行为，揭示旅游产业发展规律。
Tourism industry played an increasingly prominent role in the socio-economic development in China. Therefore, it is of great significance to forecast the tourism demand, to analyze the development tendency of tourism, to explore the mode of economic linkage, and eventually to reveal the development regulation of tourism industry. In this paper, the empirical mode decomposition, the support vector regression, and the error factor adjustment were combined to forecast the tourism demand of Sanya City. The results demonstrate that the proposed model is more accurate than other models. Meanwhile, this paper also provides the insight analyses of the economic behavior through the tourism demand’s rectangular-ambulatory matrix. The analyses reveal the regulation of tourism industry and the future benefits of Sanya’s tourism.