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Computational Planning Support Systems for Sustainable Cities

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Urban and Rural Development".

Deadline for manuscript submissions: closed (1 October 2021) | Viewed by 3731

Special Issue Editors


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Guest Editor
Department of Civil, Construction-Architectural and Environmental Engineering (DICEAA) University of L’Aquila, Via G. Gronchi, 18, 67100 L’Aquila, Italy
Interests: environmental analysis and management; urban planning; land use change; geographic information system; indicator engineering
Special Issues, Collections and Topics in MDPI journals

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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, Collections and Topics in MDPI journals

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Guest Editor
Department of Civil, Construction-Architectural and Environmental Engineering, University of L’Aquila, Piazzale E. Pontieri, 1, Monteluco di Roio, 67100 L’Aquila, Italy
Interests: sustainable land planning; land uptake; land use changes; spatial analysis; GIS; remote sensing; ecological networks
Special Issues, Collections and Topics in MDPI journals

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

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Keywords

  • Computational planning
  • Sustainable urban processes
  • Decision support system

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Published Papers (1 paper)

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Research

17 pages, 14062 KiB  
Article
Marginality Assessment: Computational Applications on Italian Municipalities
by Alessandro Marucci, Lorena Fiorini, Chiara Di Dato and Francesco Zullo
Sustainability 2020, 12(8), 3250; https://doi.org/10.3390/su12083250 - 16 Apr 2020
Cited by 16 | Viewed by 2224
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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