Identification of relationship between housing difficulty and property values in urban areas

The objective of the present work is to use statistical data to identify territorial zones characterized by the correlation between urban access to services and quality of housing and the value of property ownership. While poverty is widely accepted to be an inherently multi-dimensional concept, it has proved very difficult to develop measures that both capture this multidimensionality and make comparisons over time and space easy. With this in mind, we attempt to apply a Total Fuzzy and Relative (TFR) approach, based on a fuzzy measure of the degree of association of an individual to the totality of the poor and an approach of semantic distance (Munda, 1995), based on the definition of a “fuzzy distance” as a discriminating reference to rank the availability to property in real estate market, as complement of urban poverty, in a specific case (the Italian City of Bari).Urban Difficulty, Scan Statistics, Fuzzy logic, Property appraisal