Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 751-753 |
| Number of pages | 3 |
| Journal | International Journal of Hospitality Management |
| Volume | 29 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 1 Dec 2010 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Hotel occupancy rate
- Independent component analysis
- Infectious diseases
ASJC Scopus subject areas
- Tourism, Leisure and Hospitality Management
- Strategy and Management
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