Download full text
(962.9Kb)
Citation Suggestion
Please use the following Persistent Identifier (PID) to cite this document:
https://nbn-resolving.org/urn:nbn:de:0168-ssoar-75518-2
Exports for your reference manager
Predictivity of tourism demand data
[journal article]
Abstract As tourism researchers continue to search for solutions to determine the best possible forecasting performance, it is important to understand the maximum predictivity achieved by models, as well as how various data characteristics influence the maximum predictivity. Drawing on information theory, th... view more
As tourism researchers continue to search for solutions to determine the best possible forecasting performance, it is important to understand the maximum predictivity achieved by models, as well as how various data characteristics influence the maximum predictivity. Drawing on information theory, the predictivity of tourism demand data is quantitatively evaluated and beneficial for improving the performance of tourism demand forecasting. Empirical results from Hong Kong tourism demand data show that 1) the predictivity could largely help the researchers estimate the best possible forecasting performance and understand the influence of various data characteristics on the forecasting performance.; 2) the predictivity can be used to assess the short effect of external shock - such as SARS over tourism demand forecasting.... view less
Keywords
tourism; demand; prognosis; data capture; data quality
Classification
Leisure Research
Free Keywords
Data characteristics; Entropy; Predictivity; Tourism demand forecasting
Document language
English
Publication Year
2021
Journal
Annals of Tourism Research (2021) 89
DOI
https://doi.org/10.1016/j.annals.2021.103234
ISSN
0160-7383
Status
Preprint; peer reviewed