Next Article in Journal
Spatial Spillover Effect of New Energy Development on Economic Growth in Developing Areas of China—An Empirical Test Based on the Spatial Dubin Model
Previous Article in Journal
Agrometeorological Forecast for Smallholder Farmers: A Powerful Tool for Weather-Informed Crops Management in the Sahel
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; https://doi.org/10.3390/su12083250
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
Show Figures

Graphical abstract

MDPI and ACS Style

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

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop