【作者】 孙琼； 江晶晶； 李雪岩； 唐少清；

【Author】 SUN Qiong;JIANG Jingjing;LI Xueyan;TANG Shaoqing;Management College,Beijing Union University;

【机构】 北京联合大学管理学院；

【摘要】 后疫情时代,旅游需求预测的实践应用受到重视,而不同研究策略易使学者混淆对研究方法的识别和应用。以往相关文献很少从方法论视角对具体策略进行深入比较分析。综合经典和新兴的旅游需求预测技术,比较分析3类不同的研究策略(即时间序列分析、计量经济分析和人工智能方法),为学者选择预测方法和模型提供参考。更多还原

【Abstract】 In the post-epidemic era,the practice of tourism demand prediction has been paid more and more attention.However,different research strategies tend to confuse the identification and application of research methods.In the past,the relevant literature rarely conducted in-depth comparative analysis of specific strategies from the perspective of methodology.This study synthesizes classical and emerging tourism demand forecasting technologies,compares and analyzes three different research strategies(i.e.,time series analysis,econometric analysis and artificial intelligence methods) and discusses their similarities and differences.更多还原