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The forecasting of International Expo tourism using quantitative and qualitative techniques
This study predicts the number of visitors to an international tourism Expo to be held in Korea in 2012, an unprecedented event for the host city. Forecasting demand for such a mega-event has received only limited attention in the literature. Unlike most studies forecasting international tourism dem...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7115425/ https://www.ncbi.nlm.nih.gov/pubmed/32287725 http://dx.doi.org/10.1016/j.tourman.2008.02.007 |
_version_ | 1783514095013593088 |
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author | Lee, Choong-Ki Song, Hak-Jun Mjelde, James W. |
author_facet | Lee, Choong-Ki Song, Hak-Jun Mjelde, James W. |
author_sort | Lee, Choong-Ki |
collection | PubMed |
description | This study predicts the number of visitors to an international tourism Expo to be held in Korea in 2012, an unprecedented event for the host city. Forecasting demand for such a mega-event has received only limited attention in the literature. Unlike most studies forecasting international tourism demand, forecasting Expo demand involves using both quantitative forecasting models and qualitative technique because of data limitations. Combining quantitative techniques with willingness-to-visit (WTV) surveys predicts the Expo demand at 8.9 million visitors. In comparison using the Delphi method, experts predict Expo demand at 6.8 million visitors. For this study, the Delphi method provides more conservative estimates than estimates from combining quantitative techniques with WTV. Policy implications presented are directed toward Expo planners and practitioners in terms of demand and supply side, application of these results in the decision-making process, and future challenges surrounding demand forecasting. |
format | Online Article Text |
id | pubmed-7115425 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71154252020-04-02 The forecasting of International Expo tourism using quantitative and qualitative techniques Lee, Choong-Ki Song, Hak-Jun Mjelde, James W. Tour Manag Article This study predicts the number of visitors to an international tourism Expo to be held in Korea in 2012, an unprecedented event for the host city. Forecasting demand for such a mega-event has received only limited attention in the literature. Unlike most studies forecasting international tourism demand, forecasting Expo demand involves using both quantitative forecasting models and qualitative technique because of data limitations. Combining quantitative techniques with willingness-to-visit (WTV) surveys predicts the Expo demand at 8.9 million visitors. In comparison using the Delphi method, experts predict Expo demand at 6.8 million visitors. For this study, the Delphi method provides more conservative estimates than estimates from combining quantitative techniques with WTV. Policy implications presented are directed toward Expo planners and practitioners in terms of demand and supply side, application of these results in the decision-making process, and future challenges surrounding demand forecasting. Elsevier Ltd. 2008-12 2008-04-18 /pmc/articles/PMC7115425/ /pubmed/32287725 http://dx.doi.org/10.1016/j.tourman.2008.02.007 Text en Copyright © 2008 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Lee, Choong-Ki Song, Hak-Jun Mjelde, James W. The forecasting of International Expo tourism using quantitative and qualitative techniques |
title | The forecasting of International Expo tourism using quantitative and qualitative techniques |
title_full | The forecasting of International Expo tourism using quantitative and qualitative techniques |
title_fullStr | The forecasting of International Expo tourism using quantitative and qualitative techniques |
title_full_unstemmed | The forecasting of International Expo tourism using quantitative and qualitative techniques |
title_short | The forecasting of International Expo tourism using quantitative and qualitative techniques |
title_sort | forecasting of international expo tourism using quantitative and qualitative techniques |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7115425/ https://www.ncbi.nlm.nih.gov/pubmed/32287725 http://dx.doi.org/10.1016/j.tourman.2008.02.007 |
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