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Sustainable Redevelopment: The Cost-Revenue Analysis to Support the Urban Planning Decisions

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Computational Science and Its Applications – ICCSA 2020 (ICCSA 2020)

Abstract

The sustainable development of cities, by focusing on abandoned or degraded areas, represent the key driver that is able to remedy to damages that are produced by uncontrolled urban growth. The aim of the work is to highlight usefulness of the Cost-Revenue Analysis (CRA) in decision-making process concerning the enhancement of a military complex located in the city of Rome (Italy). In particular, existence of conditions that allow the Public Administration (PA) to request private entrepreneur additional operations to those established by the law is intended to examine, ensuring financial convenience of both subjects involved. The results achieved demonstrate feasibility of initiative, but also existence of wide margins for financial convenience of private entrepreneur that allow the PA to request additional financial resources or the direct realization of the initiatives to be intended to public functions. Furthermore, the influence of combination of the intended uses on urban planning loads and financial budget of the initiative is tested by analyzing the variation of share of gross floor area that can be attributed to each intended use. The adoption of the CRA can be implemented by subjects involved in the early stage of redevelopment initiatives in order to provide the size of the amount of financial resources that are necessary.

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Aknowledgements

The authors declare that the contents of the paper are based on data and information developed within the “Innonets” Project founded by the Interreg Greece-Italy Program and are aimed at promoting the Project itself. For more information see http://interreginnonets.eu/en.

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Correspondence to Debora Anelli .

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Morano, P., Guarini, M.R., Tajani, F., Anelli, D. (2020). Sustainable Redevelopment: The Cost-Revenue Analysis to Support the Urban Planning Decisions. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science(), vol 12251. Springer, Cham. https://doi.org/10.1007/978-3-030-58808-3_69

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  • DOI: https://doi.org/10.1007/978-3-030-58808-3_69

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