The article describes a study that analyzed climate data, population data, green infrastructure data, and survey data to investigate the impact of green infrastructure on residential choices and gentrification in Vienna. The study used a range of data sources, including climate models, population data, and survey results. The study also employed a variety of analytical steps, including the use of regression models and hierarchical logistic regressions.
The study used climate data from the ÖKS15 time series and the MUKLIMO_3 model to analyze the impact of climate change on heat-risk indices in Vienna. The study also used population data from the Statistical Department of the City of Vienna and the Austrian Statistical Office to analyze trends in population growth and social vulnerability.
The study used survey data to investigate the role of green surroundings in residential choice and gentrification. The survey results showed that residents who lived in areas with more green spaces were more likely to move to a new location. The study also found that gentrification was more likely to occur in areas with higher levels of green infrastructure.
Overall, the study used a range of data sources and analytical techniques to investigate the impact of green infrastructure on residential choices and gentrification in Vienna. The study provides insights into the relationship between green infrastructure and gentrification, and highlights the importance of considering these factors in urban planning and policy-making.