- In order to support the decision-making process related to the reduction of land consumption into the urban regeneration interventions, the present research has the aim to define and propose a goal programming-based model that can be adopted for the negotiation phases of public and private subjects involved. In particular, the proposed model can provide for a range of feasible scenarios that, according to the specific purposes of the Public Administration, can be implemented in order to achieve the financial, environmental and social level of sustainability targets set by the Agenda 2030. In this way even the private entrepreneur can verify his personal convenience to participate in the investment. Furthermore, the possibility provided by the model to choose a different combination of urban parameters that define the convenience of interventions before their implementation, could reduce the increasingly significant problem of badly concluded interventions, interrupted because they lack an effective ex ante evaluation.

An Optimization Decision Support Model for Sustainable Urban Regeneration Investments

Guarnaccia C.;
2021-01-01

Abstract

- In order to support the decision-making process related to the reduction of land consumption into the urban regeneration interventions, the present research has the aim to define and propose a goal programming-based model that can be adopted for the negotiation phases of public and private subjects involved. In particular, the proposed model can provide for a range of feasible scenarios that, according to the specific purposes of the Public Administration, can be implemented in order to achieve the financial, environmental and social level of sustainability targets set by the Agenda 2030. In this way even the private entrepreneur can verify his personal convenience to participate in the investment. Furthermore, the possibility provided by the model to choose a different combination of urban parameters that define the convenience of interventions before their implementation, could reduce the increasingly significant problem of badly concluded interventions, interrupted because they lack an effective ex ante evaluation.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4783765
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