Tourism demand forecasting - a review on the variables and models

Alongside with the growth of the 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 independent variable such as tourist incom...

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Main Authors: Sarah, Mohd Khaidi, Noratikah, Abu, Noryanti, Muhammad
Format: Conference or Workshop Item
Language:English
Published: IOP Publishing 2019
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/26472/13/Tourism%20demand%20forecasting.pdf
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author Sarah, Mohd Khaidi
Noratikah, Abu
Noryanti, Muhammad
author_facet Sarah, Mohd Khaidi
Noratikah, Abu
Noryanti, Muhammad
author_sort Sarah, Mohd Khaidi
collection UMP
description Alongside with the growth of the 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 independent variable such as tourist income, exchange rate, gross domestic product, and others. Besides, this study will focus on the models used to forecast and analyse tourism demand which are time-series model, economic 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, it is worth to mention that combined models outperformed single model in most of the studies. Furthermore, the authors mentioned about the roles of tourism practitioners in the industry, tourism seasonality and suggestions for further studies in the future.
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spelling UMPir264722019-12-04T07:00:33Z http://umpir.ump.edu.my/id/eprint/26472/ Tourism demand forecasting - a review on the variables and models Sarah, Mohd Khaidi Noratikah, Abu Noryanti, Muhammad T Technology (General) Alongside with the growth of the 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 independent variable such as tourist income, exchange rate, gross domestic product, and others. Besides, this study will focus on the models used to forecast and analyse tourism demand which are time-series model, economic 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, it is worth to mention that combined models outperformed single model in most of the studies. Furthermore, the authors mentioned about the roles of tourism practitioners in the industry, tourism seasonality and suggestions for further studies in the future. IOP Publishing 2019 Conference or Workshop Item PeerReviewed pdf en cc_by http://umpir.ump.edu.my/id/eprint/26472/13/Tourism%20demand%20forecasting.pdf Sarah, Mohd Khaidi and Noratikah, Abu and Noryanti, Muhammad (2019) Tourism demand forecasting - a review on the variables and models. In: Journal of Physics: Conference Series, 2nd International Conference on Applied & Industrial Mathematics and Statistics (ICoAIMS 2019) , 23-25 July 2019 , Kuantan, Pahang, Malaysia. pp. 1-8., 1366 (012111). ISSN 1742-6596 https://doi.org/10.1088/1742-6596/1366/1/012111
spellingShingle T Technology (General)
Sarah, Mohd Khaidi
Noratikah, Abu
Noryanti, Muhammad
Tourism demand forecasting - a review on the variables and models
title Tourism demand forecasting - a review on the variables and models
title_full Tourism demand forecasting - a review on the variables and models
title_fullStr Tourism demand forecasting - a review on the variables and models
title_full_unstemmed Tourism demand forecasting - a review on the variables and models
title_short Tourism demand forecasting - a review on the variables and models
title_sort tourism demand forecasting a review on the variables and models
topic T Technology (General)
url http://umpir.ump.edu.my/id/eprint/26472/13/Tourism%20demand%20forecasting.pdf
work_keys_str_mv AT sarahmohdkhaidi tourismdemandforecastingareviewonthevariablesandmodels
AT noratikahabu tourismdemandforecastingareviewonthevariablesandmodels
AT noryantimuhammad tourismdemandforecastingareviewonthevariablesandmodels