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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.
Veronica Sottini; Elena Barbierato; Iacopo Bernetti; Irene Capecchi. Impact of Climate Change on Wine Tourism: An Approach through Social Media Data. Sustainability 2021, 13, 7489 .
AMA StyleVeronica Sottini, Elena Barbierato, Iacopo Bernetti, Irene Capecchi. Impact of Climate Change on Wine Tourism: An Approach through Social Media Data. Sustainability. 2021; 13 (13):7489.
Chicago/Turabian StyleVeronica Sottini; Elena Barbierato; Iacopo Bernetti; Irene Capecchi. 2021. "Impact of Climate Change on Wine Tourism: An Approach through Social Media Data." Sustainability 13, no. 13: 7489.
Cities are human ecosystems. Understanding human ecology is important for designing and planning the built environment. The ability to respond to changes and adapt actions in a positive way helps determine the health of cities. Recently, many studies have highlighted the great potential of photographic data shared on the Flickr platform for the analysis of environmental perceptions in landscape and urban planning. Other research works used panoramic images from the Google Street View (GSV) web service to extract urban quality data. Although other researches have used social media to characterize human habitat from an emotional point of view, there is still a lack of knowledge of the correlation between environmental and physical variables of the city and visual perception, especially at a scale suitable for urban planning and design. In ecology, the environmental suitability of a territory for a given biological community is studied through species distribution models (SDM). In this work we have adopted the state of the art of SDM (the ensemble approach) to develop a methodology transferable to cities with different sizes and characteristics that uses data deriving from many sources available on a global scale: social media platform, Google internet services, shared geographical information, remote sensing and geomorphological data. The result of our application in the city of Livorno offers important information on the most significant variables for the conservation, planning and design of urban public spaces at the project scale. However, further research developments will be needed to test the model in cities of different sizes and geographic locations, integrate the model with other social media, other databases and with traditional surveys and improve the quality of indicators that can be derived from information shared on the Internet.
Iacopo Bernetti; Veronica Alampi Sottini; Lorenzo Bambi; Elena Barbierato; Tommaso Borghini; Irene Capecchi; Claudio Saragosa. Urban Niche Assessment: An Approach Integrating Social Media Analysis, Spatial Urban Indicators and Geo-Statistical Techniques. Sustainability 2020, 12, 3982 .
AMA StyleIacopo Bernetti, Veronica Alampi Sottini, Lorenzo Bambi, Elena Barbierato, Tommaso Borghini, Irene Capecchi, Claudio Saragosa. Urban Niche Assessment: An Approach Integrating Social Media Analysis, Spatial Urban Indicators and Geo-Statistical Techniques. Sustainability. 2020; 12 (10):3982.
Chicago/Turabian StyleIacopo Bernetti; Veronica Alampi Sottini; Lorenzo Bambi; Elena Barbierato; Tommaso Borghini; Irene Capecchi; Claudio Saragosa. 2020. "Urban Niche Assessment: An Approach Integrating Social Media Analysis, Spatial Urban Indicators and Geo-Statistical Techniques." Sustainability 12, no. 10: 3982.
The paper presents an integrated methodology to assess psychological and physiological responses of people when exposed to forests, with the main objective of assessing the suitability of different stands for stress recovery on the basis of tree species and density. From the methodological viewpoint, the study applies both a Restoration Outcome Scale (ROS) questionnaire and a neuroscientific technique grounded on electro-encephalographic (EEG) measurement. Results show different outcomes for conifers and broadleaves as well as a statistical significance of density in the evaluation of an individual’s emotional state. A forest with a high density of conifers and low density of broadleaves seems to be the proper combination for stress recovery. The differences among psychological stated preferences and EEG trends highlights potential conflict among “needs” and “wants” of people in the topic of stress relief. Potential applications of the research for health care and territorial marketing operations are suggested.
Sandro Sacchelli; Gianluca Grilli; Irene Capecchi; Lorenzo Bambi; Elena Barbierato; Tommaso Borghini. Neuroscience Application for the Analysis of Cultural Ecosystem Services Related to Stress Relief in Forest. Forests 2020, 11, 190 .
AMA StyleSandro Sacchelli, Gianluca Grilli, Irene Capecchi, Lorenzo Bambi, Elena Barbierato, Tommaso Borghini. Neuroscience Application for the Analysis of Cultural Ecosystem Services Related to Stress Relief in Forest. Forests. 2020; 11 (2):190.
Chicago/Turabian StyleSandro Sacchelli; Gianluca Grilli; Irene Capecchi; Lorenzo Bambi; Elena Barbierato; Tommaso Borghini. 2020. "Neuroscience Application for the Analysis of Cultural Ecosystem Services Related to Stress Relief in Forest." Forests 11, no. 2: 190.
There is an urgent need for holistic tools to assess the health impacts of climate change mitigation and adaptation policies relating to increasing public green spaces. Urban vegetation provides numerous ecosystem services on a local scale and is therefore a potential adaptation strategy that can be used in an era of global warming to offset the increasing impacts of human activity on urban environments. In this study, we propose a set of urban green ecological metrics that can be used to evaluate urban green ecosystem services. The metrics were derived from two complementary surveys: a traditional remote sensing survey of multispectral images and Laser Imaging Detection and Ranging (LiDAR) data, and a survey using proximate sensing through images made available by the Google Street View database. In accordance with previous studies, two classes of metrics were calculated: greenery at lower and higher elevations than building facades. In the last phase of the work, the metrics were applied to city blocks, and a spatially constrained clustering methodology was employed. Homogeneous areas were identified in relation to the urban greenery characteristics. The proposed methodology represents the development of a geographic information system that can be used by public administrators and urban green designers to create and maintain urban public forests.
Elena Barbierato; Iacopo Bernetti; Irene Capecchi; Claudio Saragosa. Integrating Remote Sensing and Street View Images to Quantify Urban Forest Ecosystem Services. Remote Sensing 2020, 12, 329 .
AMA StyleElena Barbierato, Iacopo Bernetti, Irene Capecchi, Claudio Saragosa. Integrating Remote Sensing and Street View Images to Quantify Urban Forest Ecosystem Services. Remote Sensing. 2020; 12 (2):329.
Chicago/Turabian StyleElena Barbierato; Iacopo Bernetti; Irene Capecchi; Claudio Saragosa. 2020. "Integrating Remote Sensing and Street View Images to Quantify Urban Forest Ecosystem Services." Remote Sensing 12, no. 2: 329.