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The forecasting of International Expo tourism using quantitative and qualitative techniques

机译:利用定量和定性技术预测国际博览会旅游

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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.
机译:这项研究预测了2012年在韩国举办的国际旅游博览会的游客人数,这对于主办城市而言是前所未有的。对此类大型事件的需求预测在文献中仅受到了有限的关注。与大多数预测国际旅游需求的研究不同,由于数据的局限性,预测世博会需求涉及使用定量预测模型和定性技术。将定量技术与访问意愿调查结合起来,可以预测世博会的需求为890万。与德尔菲方法相比,专家预测世博会的需求为680万人。对于本研究,与将定量技术与WTV相结合的估计相比,Delphi方法提供的估计更加保守。提出的政策含义针对需求和供应方,在决策过程中应用这些结果以及围绕需求预测的未来挑战等方面,针对世博规划者和实践者。

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