Evaluating the likely magnitude of these impacts is not straightforward. As a starting point, it is suggested that quantifying and understanding the impacts of present-day fluctuations in weather on tourism numbers may aid in our understanding of possible future trends. Here, we use two approaches: first, statistical models of the relationship between fluctuations in weather and the response of tourism were developed and, second, a survey of the perception of climate impacts, and in particular seasonal extremes, was carried out. Four European countries were studied: UK, The Netherlands, Germany and Italy.
Temperature was found to have the greatest influence on international tourism. The optimal summer temperature for attracting tourists to a country was found to be 21oC, with little deviation from country to country. In hot years, tourists tend to prefer domestic to foreign beach holidays. For domestic tourism, warmer temperatures are generally associated with an increase in numbers, except in winter sports regions. There is some indication that weather in the shoulder seasons (spring and autumn) has a greater influence than in winter and summer.
The public perception survey reinforces the results of the statistical analyses. It shows, for example, that an unusually hot summer at home may influence holiday planning, most commonly leading people to decide to remain at home, or in their own country. However, the greatest influence is seen not on the main holiday destination, but on short breaks, which are most likely to be taken in the shoulder seasons.
It is clear that present-day fluctuations in weather have the potential to affect tourism. Proper understanding of these relationships can be an important tool in understanding the sensitivities and vulnerabilities of the industry to climate change.
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