Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/20615
Title: A Web-based Hong Kong tourism demand forecasting system
Authors: Song, H 
Gao, Z
Zhang, X
Lin, S
Keywords: Autoregressive distributed lag model
Forecasting system
Hong Kong
Scenario analysis
Tourism demand
Web techniques
Issue Date: 2012
Source: International journal of networking and virtual organisations, 2012, v. 10, no. 3-4, p. 275-291 How to cite?
Journal: International Journal of Networking and Virtual Organisations 
Abstract: Accurate predictions of future business activities are important for business decision-makings. 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.
URI: http://hdl.handle.net/10397/20615
ISSN: 1470-9503
DOI: 10.1504/IJNVO.2012.046451
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