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01.09.2008 | Original Paper

Modeling and forecasting tourism demand: the case of flows from Mainland China to Taiwan

verfasst von: Luiz Moutinho, K.-H. Huarng, Tiffany H.-K. Yu, C.-Y. Chen

Erschienen in: Service Business | Ausgabe 3/2008

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Abstract

The study of tourism demand is attracting more and more attention. Hence, it is important to understand the variables that affect tourism demand and to forecast the demand. Many studies have been conducted to analyze the demands in various countries. Recently, China has been expected to become one of the largest originators of outbound tourists in the world. Hence, it is interesting to explore what the variables are that affect the Mainland Chinese arrivals to Taiwan and to forecast its corresponding tourism demand. This study applies neural networks to select proper models, and then to forecast the demand.

Vorheriger Artikel Tracking the relationship between environmental management and financial performance in the service industry

Nächster Artikel Location strategies of multiunit service businesses: spatial differentiation and agglomeration among hamburger restaurants in Paris, 1984–2004

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Titel: Modeling and forecasting tourism demand: the case of flows from Mainland China to Taiwan
verfasst von: Luiz Moutinho
K.-H. Huarng
Tiffany H.-K. Yu
C.-Y. Chen
Publikationsdatum: 01.09.2008
Verlag: Springer-Verlag
Erschienen in: Service Business / Ausgabe 3/2008
Print ISSN: 1862-8516
Elektronische ISSN: 1862-8508
DOI: https://doi.org/10.1007/s11628-008-0037-3

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