Impact of Climate Change on Wine Tourism: An Approach through Social Media Data
Wine tourism is one of the best opportunities for rural development, but because it is partially exposed to climatic conditions, it is a climate-vulnerable tourism activity. However, an understanding of the potential impacts of global climate change on this popular activity remains limited. This stu...
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doaj-d0c70f47070643fe80f40af166e4de1d2021-07-15T15:47:58ZengMDPI AGSustainability2071-10502021-07-01137489748910.3390/su13137489Impact of Climate Change on Wine Tourism: An Approach through Social Media DataVeronica Alampi Sottini0Elena Barbierato1Iacopo Bernetti2Irene Capecchi3DAGRI, Department of Agricultural, Food, Environmental and Forestry, University of Florence, Piazzale delle Cascine, 18-50144 Firenze, FI, ItalyDAGRI, Department of Agricultural, Food, Environmental and Forestry, University of Florence, Piazzale delle Cascine, 18-50144 Firenze, FI, ItalyDAGRI, Department of Agricultural, Food, Environmental and Forestry, University of Florence, Piazzale delle Cascine, 18-50144 Firenze, FI, ItalyDAGRI, Department of Agricultural, Food, Environmental and Forestry, University of Florence, Piazzale delle Cascine, 18-50144 Firenze, FI, ItalyWine tourism is one of the best opportunities for rural development, but because it is partially exposed to climatic conditions, it is a climate-vulnerable tourism activity. However, an understanding of the potential impacts of global climate change on this popular activity remains limited. This study proposes a new methodology that combines current daily gridded climate data from the E-OBS project with big spatiotemporal data from the Flickr photo-sharing platform through a generalized additive model This methodology was implemented to study the potential impacts on tourism flows due to climate change and to make predictions about the future using data from the CMIP5 project. We applied the methodology to 5 European wine tourism regions: Alsace (FR), Chianti (IT), La Rioja (SP), Langhe-Monferrato (IT), and Moselle (DE). Results show an increased probability of presence and increased deseasonalization of tourism in all study areas and an anticipation of peak presence from summer to spring in three of the five regions. We believe that these results can be useful for public and private stakeholders to adapt the offer of wine tourism services to changes in demand and to direct the organization of events such as festivals and thematic tours.https://www.mdpi.com/2071-1050/13/13/7489wine tourismclimate changeCopernicus Climate Change ServiceFlickrgeneralized addictive model |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Veronica Alampi Sottini Elena Barbierato Iacopo Bernetti Irene Capecchi |
spellingShingle |
Veronica Alampi Sottini Elena Barbierato Iacopo Bernetti Irene Capecchi Impact of Climate Change on Wine Tourism: An Approach through Social Media Data Sustainability wine tourism climate change Copernicus Climate Change Service Flickr generalized addictive model |
author_facet |
Veronica Alampi Sottini Elena Barbierato Iacopo Bernetti Irene Capecchi |
author_sort |
Veronica Alampi Sottini |
title |
Impact of Climate Change on Wine Tourism: An Approach through Social Media Data |
title_short |
Impact of Climate Change on Wine Tourism: An Approach through Social Media Data |
title_full |
Impact of Climate Change on Wine Tourism: An Approach through Social Media Data |
title_fullStr |
Impact of Climate Change on Wine Tourism: An Approach through Social Media Data |
title_full_unstemmed |
Impact of Climate Change on Wine Tourism: An Approach through Social Media Data |
title_sort |
impact of climate change on wine tourism: an approach through social media data |
publisher |
MDPI AG |
series |
Sustainability |
issn |
2071-1050 |
publishDate |
2021-07-01 |
description |
Wine tourism is one of the best opportunities for rural development, but because it is partially exposed to climatic conditions, it is a climate-vulnerable tourism activity. However, an understanding of the potential impacts of global climate change on this popular activity remains limited. This study proposes a new methodology that combines current daily gridded climate data from the E-OBS project with big spatiotemporal data from the Flickr photo-sharing platform through a generalized additive model This methodology was implemented to study the potential impacts on tourism flows due to climate change and to make predictions about the future using data from the CMIP5 project. We applied the methodology to 5 European wine tourism regions: Alsace (FR), Chianti (IT), La Rioja (SP), Langhe-Monferrato (IT), and Moselle (DE). Results show an increased probability of presence and increased deseasonalization of tourism in all study areas and an anticipation of peak presence from summer to spring in three of the five regions. We believe that these results can be useful for public and private stakeholders to adapt the offer of wine tourism services to changes in demand and to direct the organization of events such as festivals and thematic tours. |
topic |
wine tourism climate change Copernicus Climate Change Service Flickr generalized addictive model |
url |
https://www.mdpi.com/2071-1050/13/13/7489 |
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