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Cited by 599

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Implications of Global Climate Change for Tourism Flows and Seasonality

Amelung, Bas, Nicholls, Sarah, Viner, David·2007·Journal of Travel Research

Abstract

Tourism is a climate-dependent industry, and many destinations owe their popularity to their pleasant climates during traditional holiday seasons. This article explores the potential implications of climate change for global tourism, with special emphasis on seasonality. Combination of two climate change scenarios with the Tourism Climatic Index reveals that the locations of climatically ideal tourism conditions are likely to shift poleward under projected climate change. Whereas destinations such as the Mediterranean may see shifts in their peak seasons from summer months to current shoulder periods, regions in higher latitudes are likely to experience a lengthening of their summer seasons. The effects of these changes will depend greatly on the flexibility demonstrated by institutions and tourists as they react to climate change, with substantial implications for both spatial and temporal redistribution of tourism activities. The reader is referred to http://www.carrs.msu.edu/Main/People/faculty%20bios/extra/nicho210- journal.pdf to view the full series of color maps accompanying these analyses.

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Metadata

Authors
Amelung, B., Nicholls, S., & Viner, D.
Venue
Journal of Travel Research
Published
2007-02
Volume
45
Issue
3
Pages
285-296
ISSN
  • 0047-2875 (ISSN-L)
  • 1552-6763
OpenAlex
W2141391124
Cited by
599
References
1
FWCI
70.00
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Implications of Global Climate Change for Tourism Flows and Seasonality. https://app.cochat.ai/papers/10.1177/0047287506295937
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Amelung, B., Nicholls, S., & Viner, D. (2007). Implications of Global Climate Change for Tourism Flows and Seasonality. Journal of Travel Research. https://doi.org/10.1177/0047287506295937

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.