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Journal of Information and Optimization Sciences

(Since 1980)
Open Access ·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667

WoS  JIF 2026 : 0.4 (Q4)

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Monthly Journal: Publishes theoretical and applied research on topics in information and optimization sciences.

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Journal of Information and Optimization Sciences
Open Access Research Article

Forecasting of international tourists visiting Taiwan for the purpose of leisure

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pp. 1317–1331Vol. 45Issue 5July 2024DOI: 10.47974/JIOS-1509XML
Received:
09 May 2023
Published Online:
12 Aug 2024
Article type:
Research Article
Language:
EN
Article no.:
JIOS-1509
Pages:
1317–1331

Abstract

Forecasting is the basis of planning. Previous studies on international tourism forecasting have mostly examined international tourist arrivals. Few studies discuss international travelers for specific purposes. Tourists from Western countries are the main source of tourists for leisure purpose. Economic factors generally have a significant effect on the international tourist demand. Nevertheless in different settings, there will be different conclusions. Consequently, the study supposes the recurrent neural network with genetic algorithms and the ARIMAX model to forecast numbers of tourists to Taiwan from USA, U.K, Germany, and Australia for leisure, and analyzes economic factors. The findings can help the development of the Taiwan’ tourism industry.

Keywords

Tourism demandForecastingTaiwanNeural networksGenetic algorithmsARIMAX

Subject Classifications

(2010) 62M10

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