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The impact of infectious diseases on hotel occupancy rate based on independent component analysis

The recent global outbreak of Influenza A (H1N1), or the more commonly known as swine flu, has negatively affected the tourism and hospitality industries in many countries. This article reports a study that applied independent component analysis, a novel statistical technique, to separate the domina...

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Detalles Bibliográficos
Autores principales: Wu, Edmond H.C., Law, Rob, Jiang, Brianda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7116946/
https://www.ncbi.nlm.nih.gov/pubmed/32287853
http://dx.doi.org/10.1016/j.ijhm.2009.07.001
Descripción
Sumario:The recent global outbreak of Influenza A (H1N1), or the more commonly known as swine flu, has negatively affected the tourism and hospitality industries in many countries. This article reports a study that applied independent component analysis, a novel statistical technique, to separate the dominant factors which determine the levels of hotel occupancy rates in Hong Kong. Empirical findings would provide useful insights on how the dynamic lodging demand reacts to epidemics based on the severity and duration of the events.