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Where are the slums? New approaches to urban regeneration

  • Beniamino Murgante
  • Giuseppe Las Casas
  • Maria Danese

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.

Keywords

Spatial Autocorrelation Urban Regeneration Kernel Density Estimation Neighbour Distance Urban Renewal 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2008

Authors and Affiliations

  • Beniamino Murgante
    • 1
  • Giuseppe Las Casas
    • 1
  • Maria Danese
    • 1
  1. 1.University of BasilicataItaly

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