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Human well-being is affected by the design quality of the city in which they live and walk. This depends primarily on specific physical characteristics and how they are aggregated together. Many studies have highlighted the great potential of photographic data shared on the Flickr platform for analyzing environmental perceptions in landscape and urban planning. Other researchers have used panoramic images from the Google Street View (GSV) web service to extract data on urban quality. However, at the urban level, there are no studies correlating quality perceptions detected by social media platforms with spatial geographic characteristics through geostatistical models. This work proposes the analysis of urban quality in different areas of the Livorno city through a methodological approach based on Geographical Random Forest regression. The result offers important insights into the physical characteristics of a street environment that contribute to the more abstract qualities of urban design. [ABSTRACT FROM AUTHOR]

The phenomenon of urban heat waves are becoming a significant public health problem in the summer season. Global warming is therefore not only an environmental problem, but also an ethical and political issue of climate justice. The research was based on the capability approach developed by Amartya Sen. The aim of the study is to (1) identify a set of indicators that allows to estimate the risk of decreased individual well-being; (2) implement these indicators in a probabilistic model that allows to explicitly consider the lack of certain knowledge on the effects of climate change; (3) provide high resolution urban mapping for climate change adaptation strategies. The research focused on the vulnerable people (elderly people and children) in the city of Rosignano Solvay. The combination of the results, obtained through the aggregation Dempster's rule, allows to identify the most critical areas on which it is necessary to intervene or through mitigation or urban regeneration. [ABSTRACT FROM AUTHOR]