Tourism demand forecasting – a review on the variables and models

Mohd Khaidi, Sarah and Abu, Noratikah and Muhammad, Noryanti (2019) Tourism demand forecasting – a review on the variables and models. In: Journal of Physics: Conference Series; 2nd International Conference on Applied and Industrial Mathematics and Statistics 2019, ICoAIMS 2019, 23 - 25 July 2019 , The Zenith Hotel, Kuantan, Pahang. pp. 1-8., 1366 (012111). ISSN 1742-6588 (print); 1742-6596 (online)

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With the growth of the world's tourism industry, researchers took advantage to conduct numerous studies in forecasting of tourism demand. The objective of this paper is to review the studies on tourism demand starting from 2010 to 2018 which varies on the explanatory variables, such as tourist income, exchange rate, gross domestic product, and others. In addition, this study also reviewed the models used to forecast and analyse tourism demand which are time-series model, econometric causal model and artificial intelligence model. The result from this review shows it is difficult to conclude which models performed the best for tourism demand. However, in most of the studies, combined models outperformed single model. Furthermore, the authors mentioned about the roles of tourism practitioners in the industry, tourism seasonality and suggestions for further studies in the future.

Item Type: Conference or Workshop Item (Lecture)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Combined model; Exchange rates; Explanatory variables; Gross domestic products; Time series modeling; Tourism demand; Tourism demand forecasting; Tourism industry
Subjects: G Geography. Anthropology. Recreation > G Geography (General)
Q Science > QA Mathematics
Faculty/Division: Center for Mathematical Science
Faculty of Industrial Sciences And Technology
Institute of Postgraduate Studies
Depositing User: Dr. Noratikah Abu
Date Deposited: 18 Oct 2022 04:57
Last Modified: 18 Oct 2022 04:57
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