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From a short-term (e.g. daily) perspective, visitor numbers to an outdoor recreation destination are strongly influenced by good or bad weather conditions. However, to date, a large body of literature has focused on tourists' responses to climate change or weather conditions over a longer temporal scale, such as a year. Using data for Mount Rigi, a Swiss outdoor recreation destination, we specify a regression model to explain the variation in daily visitor numbers. Our findings confirm the strong weather and seasonal sensitivity that are often found in previous studies. However, we also found that the effect of the weather on daily visitors is not homogeneous but decreases with the number of previous sunny days within a given tourist season. Our finding is that, contrary to popular belief, the impact of weather on tourist service providers and destinations is less pronounced when viewed seasonally. We provide some possible explanations for these observations based on the destination's characteristics, its visitor segment(s) and the theory of planned behaviour in tourism.
+ ID der Publikation: hslu_94318 + Art des Beitrages: Wissenschaftliche Medien + Sprache: Englisch + Letzte Aktualisierung: 2023-02-01 11:00:55 + "This article has been accepted for publication in "Tourism Recreation Research", published by Taylor & Francis."
visitor numbers, tourist adaptation behaviour, outdoor recreation destination, Daily weather, sameday visitors
visitor numbers, tourist adaptation behaviour, outdoor recreation destination, Daily weather, sameday visitors
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 6 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
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