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Open AccessArticle

Marginality Assessment: Computational Applications on Italian Municipalities

Department of Civil and Environmental Engineering, University of L’Aquila, 67100 L’Aquila, Italy
Author to whom correspondence should be addressed.
Sustainability 2020, 12(8), 3250;
Received: 15 March 2020 / Revised: 13 April 2020 / Accepted: 14 April 2020 / Published: 16 April 2020
(This article belongs to the Special Issue Computational Planning Support Systems for Sustainable Cities)
Inner areas are the most peripheral Italian municipalities and they are characterized by clear loss of both public and private services. They represent one of the relevant elements in national and regional planning policy and the Italian government has made available a fund (€ 100 million) for small municipalities up to 5000 inhabitants (Law n. 158/2017). These areas have gradually seen an evident process of marginalisation, which is difficult to evaluate because it is the result of several factors. This work describes an applied methodology for this marginality assessment on the Italian inner areas, which was developed through the quantification of eight criteria selected from Law n. 158/2017. The analysis carried out two different simulations for elaborating and mapping territorial disadvantages, with the use of GIS software and MATLAB. The analysis highlights an evident clustering in specific geographic areas. Moreover, this result confirms that there is a significant chaining of some typical issues of the small municipalities. This research represents a first analytical approach to evaluating the intervention priorities of regulatory instruments and national strategies and it is proposed as an innovative approach that introduces a profound change of attitude moving from an equality-based model to an equity-based model. View Full-Text
Keywords: inner areas; national strategies; computational planning inner areas; national strategies; computational planning
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MDPI and ACS Style

Marucci, A.; Fiorini, L.; Di Dato, C.; Zullo, F. Marginality Assessment: Computational Applications on Italian Municipalities. Sustainability 2020, 12, 3250.

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