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Predicting tourism flows under climate change

2006, Climatic Change

AI-generated Abstract

Predicting tourism flows is critical in the context of climate change as tourism is both a significant contributor to climate change and highly sensitive to it. This paper explores the gaps in existing research regarding climate change's impact on various tourism markets, emphasizing the necessity of utilizing robust, homogenous data for accurate predictions. It addresses current criticisms of prevailing models, notably those that fail to account for the heterogeneous nature of tourism data and the dynamics between climate and tourists' destination choices.