A novel deep learning approach for tourism volume forecasting with tourist search data
文献类型：期刊论文
| 作者 | Li, Mingchen4,5; Zhang, Chengyuan6; Sun, Shaolong1; Wang, Shouyang2,3,4,5 |
| 刊名 | INTERNATIONAL JOURNAL OF TOURISM RESEARCH
 |
| 出版日期 | 2022-11-07 |
| 页码 | 15 |
| ISSN号 | 1099-2340 |
| 关键词 | bi-directional gated recurrent unit search engine data stacked autoencoders tourism volume forecasting |
| DOI | 10.1002/jtr.2558 |
| 英文摘要 | 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). |
| 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 |
| 语种 | 英语 |
| 出版者 | WILEY |
| WOS记录号 | WOS:000879349900001 |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/60665]  |
| 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.Xi An Jiao Tong Univ, Sch Management, Xian 710049, Peoples R China 2.ShanghaiTech Univ, Sch Entrepreneurship & Management, 393 Middle Huaxia Rd, Shanghai, Peoples R China 3.Chinese Acad Sci, Ctr Forecasting Sci, Beijing, Peoples R China 4.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China 5.Univ Chinese Acad Sci, Sch Econ & Management, Beijing, Peoples R China 6.Xidian Univ, Sch Econ & Management, Xian, 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. |
入库方式： OAI收割
来源：数学与系统科学研究院
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