The research project aims to explore the incipient phenomena of gentrification in the Bronx and try to comprehensively capture the nuances of neighborhood transformations with fine spatial precision. The new enormous availability of big data could help to look at gentrification from multiple perspectives. For the analysis, I took into account 10 variables, organized in the three macro-areas that scholars generally indicate as sensitive to detect gentrification: 1) Changes in the demographic structure of the neighborhood, unveiling a possible displacement of long-term low-income populations 2) Changes in the housing system structure, characterized by a different distribution between owner and renter tenure and generally higher prices 3) The concentration of real estate investments to upgrade housing units and buildings and adapt them to different users and lifestyles I concentrated my variations’ analysis in a short period, between 2017 and 2022.
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Study for an index measuring Bronx gentrification
