Approcci innovativi per la classificazione delle aree rurali: dagli indirizzi europei all’applicazione locale
Published 2016-02-09
Copyright (c) 2016 Mario Cozzi, Giovanni Persiani, Mauro Viccaro, Francesco Riccioli, Claudio Fagarazzi, Severino Romano
This work is licensed under a Creative Commons Attribution 4.0 International License.
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.