Abstract
This paper reports about an application of autocorrelation methods in order to produce more detailed analyses for urban regeneration policies and programs. Generally, a municipality proposes an area as suitable for a urban regeneration program considering the edge of neighbourhoods, but it is possible that only a part of a neighbourhood is interested by social degradation phenomena. Furthermore, it is possible that the more deteriorated area belongs to two different adjacent neighbourhoods. Compared to classical statistical analyses, autocorrelation techniques allow to discover where the concentration of several negative social indicators is located. These methods can determine areas with a high priority of intervention in a more detailed way, thus increasing efficiency and effectiveness of investments in urban regeneration programs. In order to verify the possibility to apply these techniques Bari municipality has been chosen for this research since it shows very different social contexts.
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Murgante, B., Casas, G.L., Danese, M. (2008). Where are the slums? New approaches to urban regeneration. In: Liu, H., Salerno, J.J., Young, M.J. (eds) Social Computing, Behavioral Modeling, and Prediction. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-77672-9_20
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DOI: https://doi.org/10.1007/978-0-387-77672-9_20
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