A novel deep learning approach for tourism volume forecasting with tourist search data

doi:10.1002/jtr.2558

CSpace

	A novel deep learning approach for tourism volume forecasting with tourist search data
	Li, Mingchen 1,2; Zhang, Chengyuan 3; Sun, Shaolong 4; Wang, Shouyang 1,2,5,6
	2022-11-07
发表期刊	INTERNATIONAL JOURNAL OF TOURISM RESEARCH
ISSN	1099-2340
页码	15
摘要	Tourism volume forecasting is the hot topic in tourism management, and deep learning techniques as the promising tool are becoming popular for capturing the characteristics of tourism volume data, which is reflected in two aspects: data dimension reduction (i.e., stacked autoencoders [SAE]) and model forecasting (i.e., bi-directional gated recurrent unit neural network [Bi-GRU]). With Hong Kong inbound arrivals as a case, this study has empirically verified that deep learning techniques can improve forecasting accuracy. Furthermore, the proposed approach (i.e., SAE-Bi-GRU) is significantly superior to benchmark models (i.e., PCA-Bi-GRU with Baidu index and Google trends).
关键词	bi-directional gated recurrent unit search engine data stacked autoencoders tourism volume forecasting
DOI	10.1002/jtr.2558
收录类别	SCI
语种	英语
资助项目	Fundamental Research Funds for the Central Universities[SK2021007] ; National Natural Science Foundation of China[71988101] ; National Natural Science Foundation of China[72101197] ; National Natural Science Foundation of China[72201201] ; National Natural Science Foundation of China[62141223] ; Research Program of Shaanxi Soft Science, China[2022KRM015]
WOS研究方向	Social Sciences - Other Topics
WOS类目	Hospitality, Leisure, Sport & Tourism
WOS记录号	WOS:000879349900001
出版者	WILEY
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/60666
专题	中国科学院数学与系统科学研究院
通讯作者	Sun, Shaolong
作者单位	1.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Sch Econ & Management, Beijing, Peoples R China 3.Xidian Univ, Sch Econ & Management, Xian, Peoples R China 4.Xi An Jiao Tong Univ, Sch Management, Xian 710049, Peoples R China 5.Chinese Acad Sci, Ctr Forecasting Sci, Beijing, Peoples R China 6.ShanghaiTech Univ, Sch Entrepreneurship & Management, 393 Middle Huaxia Rd, Shanghai, Peoples R China
推荐引用方式 GB/T 7714	Li, Mingchen,Zhang, Chengyuan,Sun, Shaolong,et al. A novel deep learning approach for tourism volume forecasting with tourist search data[J]. INTERNATIONAL JOURNAL OF TOURISM RESEARCH,2022:15.
APA	Li, Mingchen,Zhang, Chengyuan,Sun, Shaolong,&Wang, Shouyang.(2022).A novel deep learning approach for tourism volume forecasting with tourist search data.INTERNATIONAL JOURNAL OF TOURISM RESEARCH,15.
MLA	Li, Mingchen,et al."A novel deep learning approach for tourism volume forecasting with tourist search data".INTERNATIONAL JOURNAL OF TOURISM RESEARCH (2022):15.