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Tourism demand forecasting using tourist-generated online review data
Hu, Mingming1,2; Li, Hengyun3; Song, Haiyan3; Li, Xin4; Law, Rob3,5
2022-06
Source PublicationTourism Management
ABS Journal Level4
Volume90
Abstract

This study aims to forecast international tourist arrivals to Hong Kong from seven English-speaking countries. A new direction in tourism demand modeling and forecasting is presented by incorporating tourist-generated online review data related to tourist attractions, hotels, and shopping markets into the destination forecasting system. The main empirical findings indicate that tourism demand forecasting based on tourists’ online review data can substantially improve the forecasting performance of tourism demand models; specifically, mixed data sampling (MIDAS) models outperformed competing models when high-frequency online review data were included in traditional time-series models.

KeywordHong Kong Midas Online Review Social Media Data Tourism Demand Forecasting
DOI10.1016/j.tourman.2022.104490
URLView the original
Indexed BySSCI
Language英語English
WOS Research AreaEnvironmental Sciences & Ecology ; Social Sciences - Other Topics ; Business & Economics
WOS SubjectEnvironmental Studies ; Hospitality, Leisure, Sport & Tourism ; Management
WOS IDWOS:000806222500006
Scopus ID2-s2.0-85122628099
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Cited Times [WOS]:2   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionASIA-PACIFIC ACADEMY OF ECONOMICS AND MANAGEMENT
Corresponding AuthorLi, Hengyun
Affiliation1.School of Business Administration, Guangxi University, Nanning, 530004, China
2.School of Hotel and Tourism Management, The Hong Kong Polytechnic University, Hong Kong SAR, Hong Kong
3.Hospitality and Tourism Research Centre (HTRC), School of Hotel and Tourism Management, The Hong Kong Polytechnic University, Hong Kong SAR, Hong Kong
4.School of Economics and Management, University of Science and Technology Beijing, China
5.Asia-Pacific Academy of Economics and Management, Department of Integrated Resort and Tourism Management, Faculty of Business Administration, University of Macau, China
Recommended Citation
GB/T 7714
Hu, Mingming,Li, Hengyun,Song, Haiyan,et al. Tourism demand forecasting using tourist-generated online review data[J]. Tourism Management,2022,90.
APA Hu, Mingming,Li, Hengyun,Song, Haiyan,Li, Xin,&Law, Rob.(2022).Tourism demand forecasting using tourist-generated online review data.Tourism Management,90.
MLA Hu, Mingming,et al."Tourism demand forecasting using tourist-generated online review data".Tourism Management 90(2022).
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