This work aims to determine homogenous urban poverty clusters within the City of Bari based on the most recent available data released by ISTAT (Italian National Statistics Institute) in the last General Population and Residential Census (2001). In particular, techniques of fuzzy grouping have been used in order to better compare the different clusters. The use of these techniques makes it possible to determine three different groupings of census sections, which are sufficiently homogenous in themselves and heterogeneous with each other in terms of urban poverty
It has long been argued that the housing market is spatially subdivided within an urban area. The ar...
Most of the methods designed for the analysis of poverty share two main limitations: (i) they are un...
In this paper, the methodology of fuzzy set is used to analyse the italian Households Budgets of 199...
The fuzzy set approach to multidimensional poverty measurement is enjoying increasing popularity. A ...
The objective of the present work is to use statistical data to identify territorial zones characte...
Urban poverty, specially in the metropolitan areas, represent one of the most relevant problems to ...
Urban poverty, especially in metropolitan areas, represents one of the most significant problems to...
Poverty clusters have high concentration of poor people, but that does not mean that everyone living...
This work aims to define spatial contexts (hot spots) characterized by the presence of urban poverty...
The presence of a varied range of definitions on the theme of poverty underlines the necessity of no...
The aim of this paper is to identify territorial areas and/or population subgroups characterized by ...
The objective of the present work is to use statistical data to identify territorial zones character...
The issue of housing in Italy remains of great interest to scholars, policy makers and social partne...
The numerous concepts of socio-economic hardship are, furthermore, attributable to a traditional dis...
The numerous concepts of socio-economic hardship are, furthermore, attributable to a traditional dis...
It has long been argued that the housing market is spatially subdivided within an urban area. The ar...
Most of the methods designed for the analysis of poverty share two main limitations: (i) they are un...
In this paper, the methodology of fuzzy set is used to analyse the italian Households Budgets of 199...
The fuzzy set approach to multidimensional poverty measurement is enjoying increasing popularity. A ...
The objective of the present work is to use statistical data to identify territorial zones characte...
Urban poverty, specially in the metropolitan areas, represent one of the most relevant problems to ...
Urban poverty, especially in metropolitan areas, represents one of the most significant problems to...
Poverty clusters have high concentration of poor people, but that does not mean that everyone living...
This work aims to define spatial contexts (hot spots) characterized by the presence of urban poverty...
The presence of a varied range of definitions on the theme of poverty underlines the necessity of no...
The aim of this paper is to identify territorial areas and/or population subgroups characterized by ...
The objective of the present work is to use statistical data to identify territorial zones character...
The issue of housing in Italy remains of great interest to scholars, policy makers and social partne...
The numerous concepts of socio-economic hardship are, furthermore, attributable to a traditional dis...
The numerous concepts of socio-economic hardship are, furthermore, attributable to a traditional dis...
It has long been argued that the housing market is spatially subdivided within an urban area. The ar...
Most of the methods designed for the analysis of poverty share two main limitations: (i) they are un...
In this paper, the methodology of fuzzy set is used to analyse the italian Households Budgets of 199...