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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2010
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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 |
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author | Wu, Edmond H.C. Law, Rob Jiang, Brianda |
author_facet | Wu, Edmond H.C. Law, Rob Jiang, Brianda |
author_sort | Wu, Edmond H.C. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7116946 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71169462020-04-02 The impact of infectious diseases on hotel occupancy rate based on independent component analysis Wu, Edmond H.C. Law, Rob Jiang, Brianda Int J Hosp Manag Article 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. Elsevier Ltd. 2010-12 2009-08-05 /pmc/articles/PMC7116946/ /pubmed/32287853 http://dx.doi.org/10.1016/j.ijhm.2009.07.001 Text en Copyright © 2009 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Wu, Edmond H.C. Law, Rob Jiang, Brianda The impact of infectious diseases on hotel occupancy rate based on independent component analysis |
title | The impact of infectious diseases on hotel occupancy rate based on independent component analysis |
title_full | The impact of infectious diseases on hotel occupancy rate based on independent component analysis |
title_fullStr | The impact of infectious diseases on hotel occupancy rate based on independent component analysis |
title_full_unstemmed | The impact of infectious diseases on hotel occupancy rate based on independent component analysis |
title_short | The impact of infectious diseases on hotel occupancy rate based on independent component analysis |
title_sort | impact of infectious diseases on hotel occupancy rate based on independent component analysis |
topic | Article |
url | 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 |
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