Abstract
This work has addressed the issue of the urban redevelopment of brownfield sites. It has developed an evaluation model for the quantification of the social housing component that the private investor must make in favor of the public administration. The protocol is based on finding a balance between the interests of the parties involved in urban redevelopment. The algorithm is constructed by borrowing techniques from Operations Research Linear Programming. The objective function is to maximize the social housing quota. The constraints formalize the utility functions of the two contracting parties (public and private). The result is a simple to use mathematical process, which can be implemented in any local context, in order to make choices consistent with the potential of the local housing markets. The algorithm developed is applied to a case located in a municipality of the Agro-Nocerino-Sarnese (SA). The output returned enhances the rationality of the model, capable of contributing to the feasibility of the redevelopment of disused areas.
This paper is to be attributed in equal parts to the three authors.
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De Mare, G., Nesticò, A., Tajani, F. (2012). The Rational Quantification of Social Housing. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2012. ICCSA 2012. Lecture Notes in Computer Science, vol 7334. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31075-1_3
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