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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Main Authors: Veronica Alampi Sottini, Elena Barbierato, Iacopo Bernetti, Irene Capecchi
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/13/13/7489
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spelling 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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