Multi-step ahead tourism demand forecasting: The perspective of the learning using privileged information paradigm

doi:10.1016/j.eswa.2022.118502

CSpace

	Multi-step ahead tourism demand forecasting: The perspective of the learning using privileged information paradigm
	Sun, Shaolong 1; Li, Mingchen 2,3; Wang, Shouyang 2,3,4; Zhang, Chengyuan 5
	2022-12-30
发表期刊	EXPERT SYSTEMS WITH APPLICATIONS
ISSN	0957-4174
卷号	210 页码:12
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. Superscript/Subscript Available
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
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering ; Operations Research & Management Science
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic ; Operations Research & Management Science
WOS记录号	WOS:000859573300014
出版者	PERGAMON-ELSEVIER SCIENCE LTD
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/60833
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.Xi An Jiao Tong Univ, Sch Management, Xian 710049, Peoples R China 2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, 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.