Abstract
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 thesetechniques 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.
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Campobasso, F., Fanizzi, A., Perchinunno, P. (2008). Homogenous Urban Poverty Clusters within the City of Bari. In: Gervasi, O., Murgante, B., Laganà, A., Taniar, D., Mun, Y., Gavrilova, M.L. (eds) Computational Science and Its Applications – ICCSA 2008. ICCSA 2008. Lecture Notes in Computer Science, vol 5072. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69839-5_18
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DOI: https://doi.org/10.1007/978-3-540-69839-5_18
Publisher Name: Springer, Berlin, Heidelberg
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