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| Author: | Burger, C. J. S. C. Dohnal, M. Kathrada, M. Law, R. |
| Title: | A practitioners guide to time-series methods for tourism demand forecasting - a case study of Durban, South Africa |
| Journal: | Tourism Management
2001 : AUG, VOL. 22:4, p. 403-409 |
| Index terms: | Tourism Tourist industry Neural networks Demand functions Regression analysis South Africa |
| Freeterms: | Destination |
| Language: | eng |
| Abstract: | The paper compares a variety of time-series forecasting methods to predict tourism demand for a certain region, and is meant as a guideline for tourism forecasters at the commenment of any study who do not have access to large databases in order to create structural models. The study has been conducted at a metropolitan level to forecast the US demand for travel to Durban. |
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