Special Issue "Computational Planning Support Systems for Sustainable Cities"

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: 1 November 2020.

Special Issue Editors

Dr. Lorena Fiorini
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Guest Editor
Department DICEAA, University of L’Aquila, 67100 L’Aquila, Italy
Interests: environmental analysis and management; urban planning; land use change analysis; indicator engineering
Special Issues and Collections in MDPI journals
Dr. Alessandro Marucci
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Guest Editor
Department DICEAA, University of L’Aquila, 67100 L’Aquila, Italy
Interests: environmental planning; spatial analysis; advanced technologies for fast planning
Special Issues and Collections in MDPI journals
Prof. Francesco Zullo
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Guest Editor
Department DICEAA, University of L’Aquila, 67100 L’Aquila, Italy
Interests: sustainable land planning; land consumption; land use change; spatial analysis; gis; remote sensing

Special Issue Information

Dear Colleagues,

Territorial transformations involve different variables and cause multiple effects on environmental systems, which are complex systems. This often makes it difficult to identify universally sustainable solutions. Moreover, the multi-scale approach of territorial governance processes, makes even more complex both the analysis and the construction of predictive scenarios phases. In fact, it is necessary to be able to manage an ever increasing amount of data and algorithms to produce predictive models linked to demographic, economic and environmental aspects related to the areas investigated.

Therefore, an approach, based on computational planning, allows to calibrate and orient territorial governance actions by evaluating different possible scenarios and their impacts aimed at ensuring a high level of environmental quality. It is therefore configured as a Computational Planning Support System (CPSS) for public bodies, which integrates the new technologies available today and it is able to store, manage and analyse large amounts of data (Big data); also guaranteeing a high flexibility and effectiveness of adaptive control mechanisms through the use of indicators engineering.

This system could therefore represent an opportune and valid solution, in a territory that is rapidly changing and where the extreme events, linked to the aforementioned climatic changes, are more and more frequent.

Dr. Lorena Fiorini
Dr. Alessandro Marucci
Prof. Francesco Zullo
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Computational planning
  • Sustainable urban processes
  • Decision support system

Published Papers (1 paper)

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Research

Open AccessArticle
Marginality Assessment: Computational Applications on Italian Municipalities
Sustainability 2020, 12(8), 3250; https://doi.org/10.3390/su12083250 - 16 Apr 2020
Abstract
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 [...] Read more.
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. Full article
(This article belongs to the Special Issue Computational Planning Support Systems for Sustainable Cities)
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