Open AccessAn Optimization Decision Support Model for Sustainable Urban Regeneration Investments
Author(s) -
Pierluigi Morano,
Francesco Tajani,
Cláudio Guarnaccia,
Debora Anelli
Publication year - 2021
Publication title -
wseas transactions on environment and development
Language(s) - English
Resource type - Journals
eISSN - 2224-3496
pISSN - 1790-5079
DOI - 10.37394/232015.2021.17.114
Subject(s) - negotiation , sustainability , psychological intervention , environmental economics , ex ante , order (exchange) , business , investment (military) , decision support system , process (computing) , set (abstract data type) , consumption (sociology) , sustainable development , computer science , risk analysis (engineering) , process management , environmental planning , economics , finance , psychology , ecology , social science , environmental science , macroeconomics , artificial intelligence , psychiatry , sociology , politics , political science , law , biology , programming language , operating system
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.