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Computational Planning Support Systems for Sustainable Cities

This special issue belongs to the section “Sustainable Urban and Rural Development“.

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

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 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

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Sustainability - ISSN 2071-1050