Group pooling for deep tourism demand forecasting | |
Zhang, YS (Zhang, Yishuo)[ 1,2 ]; Li, G (Li, Gang)[ 1,2 ]; Muskat, B (Muskat, Birgit)[ 3 ]; Law, R (Law, Rob)[ 4 ]; Yang, Y (Yang, Yating)[ 2 ] | |
刊名 | ANNALS OF TOURISM RESEARCH |
2020 | |
卷号 | 82期号:5页码:2899-2899 |
关键词 | Tourism demand forecasting AI-based methodology Group-pooling method Deep-learning model Tourism demand similarity Asia Pacific travel patterns |
ISSN号 | 0160-7383 |
英文摘要 | Advances in tourism demand forecasting immensely benefit tourism and other sectors, such as economic and resource management studies. However, even for novel AI-based methodologies, the challenge of limited available data causing model overfitting and high complexity in forecasting models remains a major problem. This study proposes a novel group-pooling-based deep-learning model (GP-DLM) to address these problems and improve model accuracy. Specifically, with our group-pooling method, we advance the tourism forecasting literature with the following findings. First, GP-DLM provides superior accuracy in comparison with benchmark models. Second, we define the novel dynamic time warping (DTW) clustering quantitative approach. Third, we reveal cross-region factors that influence travel demands of the studied regions, including "travel blog," "best food," and "Air Asia." |
WOS记录号 | WOS:000536120100010 |
内容类型 | 期刊论文 |
源URL | [http://ir.xjipc.cas.cn/handle/365002/7375] |
专题 | 新疆理化技术研究所_多语种信息技术研究室 |
作者单位 | 1.Hong Kong Polytech Univ, Sch Hotel & Tourism Management, Kowloon, 17 Sci Museum Rd,TST East, Hong Kong, Peoples R China 2.Australian Natl Univ, ANU Coll Business & Econ, Res Sch Management, Canberra, ACT 2601, Australia 3.Chinese Acad Sci, Xinjiang Tech Inst Phys & Chem, Urumqi 830011, Peoples R China 4.Deakin Univ, Sch Informat Technol, Geelong, Vic 3216, Australia |
推荐引用方式 GB/T 7714 | Zhang, YS ,Li, G ,Muskat, B ,et al. Group pooling for deep tourism demand forecasting[J]. ANNALS OF TOURISM RESEARCH,2020,82(5):2899-2899. |
APA | Zhang, YS ,Li, G ,Muskat, B ,Law, R ,&Yang, Y .(2020).Group pooling for deep tourism demand forecasting.ANNALS OF TOURISM RESEARCH,82(5),2899-2899. |
MLA | Zhang, YS ,et al."Group pooling for deep tourism demand forecasting".ANNALS OF TOURISM RESEARCH 82.5(2020):2899-2899. |
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