Multi-step ahead tourism demand forecasting: The perspective of the learning using privileged information paradigm
文献类型：期刊论文
| 作者 | Sun, Shaolong2; Li, Mingchen1,3; Wang, Shouyang1,3,4; Zhang, Chengyuan5 |
| 刊名 | EXPERT SYSTEMS WITH APPLICATIONS
 |
| 出版日期 | 2022-12-30 |
| 卷号 | 210页码:12 |
| ISSN号 | 0957-4174 |
| 关键词 | Tourism demand Multi -step ahead forecasting Privileged information Machine learning Kernel random vector functional link network |
| DOI | 10.1016/j.eswa.2022.118502 |
| 英文摘要 | Accurate tourism demand forecasting can provide effective guidance for government management and tourism planning. Specifically, multi-step ahead tourism demand forecasting is of great relevance in guiding managers to develop strategies and assisting operators in business planning and is therefore of great interest to researchers and practitioners. However, it is usually difficult to obtain satisfactory accuracy in views of sophisticated data characteristics. This study proposes an improved machine learning paradigm, introducing valuable additional information into the training phase, which is not available for forecasting in the testing phase. Taking Hawaii (Daily and Weekly) and Macau tourist arrivals as the samples, the empirical evidence indicates that the proposed approach can significantly enhance the multi-step ahead forecasting performance from the view of both error calculation and statistical test. In particular, the paradigm???s robustness is also demonstrated in the comparison of sliding window predictions with models of variants.
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| WOS研究方向 | Computer Science ; Engineering ; Operations Research & Management Science |
| 语种 | 英语 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| WOS记录号 | WOS:000859573300014 |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/60832]  |
| 专题 | 中国科学院数学与系统科学研究院 |
| 通讯作者 | Zhang, Chengyuan |
| 作者单位 | 1.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China 2.Xi An Jiao Tong Univ, Sch Management, Xian 710049, Peoples R China 3.Univ Chinese Acad Sci, Sch Econ & Management, Beijing 100190, Peoples R China 4.Chinese Acad Sci, Ctr Forecasting Sci, Beijing 100190, Peoples R China 5.Xidian Univ, Sch Econ & Management, Xian 710126, Peoples R China |
| 推荐引用方式 GB/T 7714 | Sun, Shaolong,Li, Mingchen,Wang, Shouyang,et al. Multi-step ahead tourism demand forecasting: The perspective of the learning using privileged information paradigm[J]. EXPERT SYSTEMS WITH APPLICATIONS,2022,210:12. |
| APA | Sun, Shaolong,Li, Mingchen,Wang, Shouyang,&Zhang, Chengyuan.(2022).Multi-step ahead tourism demand forecasting: The perspective of the learning using privileged information paradigm.EXPERT SYSTEMS WITH APPLICATIONS,210,12. |
| MLA | Sun, Shaolong,et al."Multi-step ahead tourism demand forecasting: The perspective of the learning using privileged information paradigm".EXPERT SYSTEMS WITH APPLICATIONS 210(2022):12. |
入库方式： OAI收割
来源：数学与系统科学研究院
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