Improving multi-step ahead tourism demand forecasting: A strategy-driven approach

作者：

Highlights：

• Strategies of previous tourism literature are summarized.

• A meticulous review and comparison of five strategies is conducted.

• The performance of five forecasting strategies is explored and compared.

• The DIRMO strategy is most practical among all these strategies.

• Empirical findings provide a reference paradigm for future research.

摘要

•Strategies of previous tourism literature are summarized.•A meticulous review and comparison of five strategies is conducted.•The performance of five forecasting strategies is explored and compared.•The DIRMO strategy is most practical among all these strategies.•Empirical findings provide a reference paradigm for future research.

论文关键词：Tourism demand forecasting,Multi-step ahead strategies,MIMO,DIRMO,Extreme learning machine

论文评审过程：Received 8 April 2022, Revised 6 July 2022, Accepted 5 August 2022, Available online 9 August 2022, Version of Record 17 August 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118465