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Urban Transformation Interventions: A Decision Support Model for a Fair Rent Gap Recapture

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Computational Science and Its Applications – ICCSA 2021 (ICCSA 2021)

Abstract

The second post world-war period has been widely characterized by urbanization phenomena related to the urban rent formation dynamics. The scarcity of public financial resources and the growing privatization of the benefits generated by several territorial initiatives have highlighted the need for negotiation tools capable of ensuring a fair redistribution of the rent gap deriving from urban transformation interventions. For this reason, the institution of the “extraordinary urbanization contribution” in the 2014 in Italy represents a significant regulatory support, that legitimizes public administrations in acquiring a share of the private extra-profit. The implementation of this national legislative provision has not been yet sufficiently applied at the local level, due to the lack of a univocal and codified methodology. The aim of this work consists in defining a decision support model that can be adopted in the negotiation phases between public and private subjects, in order to determine the most convenient financial conditions that ensure the law provisions. In particular, by applying the computational logic of Operational Research, the model is able to determine the amount of the main urban planning parameters that affect the balance sheets of the public-private initiatives.

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Correspondence to Debora Anelli .

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Morano, P., Tajani, F., del Giudice, V., De Paola, P., Anelli, D. (2021). Urban Transformation Interventions: A Decision Support Model for a Fair Rent Gap Recapture. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2021. ICCSA 2021. Lecture Notes in Computer Science(), vol 12954. Springer, Cham. https://doi.org/10.1007/978-3-030-86979-3_19

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  • DOI: https://doi.org/10.1007/978-3-030-86979-3_19

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