Tourism demand forecasting using short video information

Mingming Hu, Na Dong and Fang Hu

Annals of Tourism Research, 2024, vol. 109, issue C

Abstract: Based on short video information, this study extracted two explanatory variables, popularity and publicity, to empirically forecast weekly tourism demand for a destination (Macao) and a tourist attraction (Mount Siguniang, China). Results indicated that 1) models integrating the popularity or publicity of short videos outperform models without these attributes in tourism demand forecasting; 2) compared with popularity, models featuring publicity from short videos can generate more accurate forecasts; 3) models combining publicity and popularity do not necessarily exceed the performance of models including only publicity; and 4) when models account for search queries as well as publicity, search queries help improve forecasting accuracy for tourist attractions (this positive impact does not apply to destinations).

Keywords: Tourism demand; Forecasting; Short video; Tourism destination; Tourist attraction (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:anture:v:109:y:2024:i:c:s0160738324001154

DOI: 10.1016/j.annals.2024.103838

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