The rurality index has been explored using Spatial Statistical Techniques, Multicriteria Decision Support System and Cluster Analysis to obtain areas with homogenous characteristics. The profile outlined is an effective tool to support decision-makers in defining actions aimed to the development of rural areas, in view of a global rationalization and optimization of resources. To check the consistency of results, the model was tested within Basilicata region, which is well-known to the authors and which has been extensively investigated with regard to its levels of rurality. The results show eight homogeneous areas, classified in relation to the Rural Index. The results obtained enable locating resources based on specific needs.

Approcci innovativi per la classificazione delle aree rurali: dagli indirizzi europei all'applicazione locale/Innovative approaches to the classification of rural areas: from the european addresses to the local application

COZZI, Mario;VICCARO, MAURO;ROMANO, Severino
2015

Abstract

The rurality index has been explored using Spatial Statistical Techniques, Multicriteria Decision Support System and Cluster Analysis to obtain areas with homogenous characteristics. The profile outlined is an effective tool to support decision-makers in defining actions aimed to the development of rural areas, in view of a global rationalization and optimization of resources. To check the consistency of results, the model was tested within Basilicata region, which is well-known to the authors and which has been extensively investigated with regard to its levels of rurality. The results show eight homogeneous areas, classified in relation to the Rural Index. The results obtained enable locating resources based on specific needs.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11563/124673
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