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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...

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Detalles Bibliográficos
Autores principales: Lee, Choong-Ki, Song, Hak-Jun, Mjelde, James W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2008
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
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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.
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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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