 A web-based Hong Kong tourism demand forecasting systemHaiyan Song, Zixuan Gao, Xinyan Zhang and Shanshan Lin International Journal of Networking and Virtual Organisations, 2012, vol. 10, issue 3/4, 275-291 Abstract: Accurate predictions of future business activities are important for business decision-making. As a consequence, powerful and simple forecasting processes are urgently pursued by decision-makers. This study presents a tourism demand forecasting system for Hong Kong based on the web techniques to help relevant stakeholders make better decisions within the tourism industry. The system generates the forecasts of tourist arrivals, tourist expenditure, demand for hotel rooms, sectoral demand and outbound tourist flows. The autoregressive distributed lag (ADL) model is employed by this web-based forecasting system. ADL model relates a set of influencing factors to the demand for tourism, and generates both statistical as well as scenario forecasts of tourism demand in Hong Kong. In addition, the system also allows users' adjustments to the statistical forecasts. Keywords: tourism demand; demand forecasting; web techniques; scenario analysis; autoregressive distributed lag models; Hong Kong; internet; tourist arrivals; tourist expenditure; hotel rooms; sectoral demand; outbound tourist flows; tourists. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijnvor:v:10:y:2012:i:3/4:p:275-291 Access Statistics for this article More articles in International Journal of Networking and Virtual Organisations from Inderscience Enterprises Ltd |
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