Finding a new use for abandoned buildings provides an opportunity for urban and rural regeneration as reconversion policies arrest decay processes and re-establish continuity in the territorial system, using existing buildings and thus limiting the consumption of new soil. This study combines quantitative stakeholders' analysis with Decision Aiding tools to design and evaluate alternative strategies for the regeneration of an abandoned military barrack in Italy. In particular, the paper details how the collaborative decision support process developed from the initial map of the local needs to the final assessment of five different regeneration projects. The main objective of the study is to develop a transferable framework able to support collaborative planning and decision-making processes related to urban regeneration transformations. The contribution brought by the study is twofold and refers to: (i) the development of an inclusive final recommendation based on the innovative integration of Multi Attribute Value Theory with quantitative stakeholders' analysis and (ii) the provision of a replicable working tool for policy makers and urban regeneration specialists. The study has thus an innovative value and may stimulate a cross-disciplinary use of behavioral decision analysis to support a value-based generation and evaluation of alternative solutions in complex multi-actor decision making settings.

Designing successful urban regeneration strategies through a behavioral decision aiding approach

V. Ferretti;R. Grosso
2019

Abstract

Finding a new use for abandoned buildings provides an opportunity for urban and rural regeneration as reconversion policies arrest decay processes and re-establish continuity in the territorial system, using existing buildings and thus limiting the consumption of new soil. This study combines quantitative stakeholders' analysis with Decision Aiding tools to design and evaluate alternative strategies for the regeneration of an abandoned military barrack in Italy. In particular, the paper details how the collaborative decision support process developed from the initial map of the local needs to the final assessment of five different regeneration projects. The main objective of the study is to develop a transferable framework able to support collaborative planning and decision-making processes related to urban regeneration transformations. The contribution brought by the study is twofold and refers to: (i) the development of an inclusive final recommendation based on the innovative integration of Multi Attribute Value Theory with quantitative stakeholders' analysis and (ii) the provision of a replicable working tool for policy makers and urban regeneration specialists. The study has thus an innovative value and may stimulate a cross-disciplinary use of behavioral decision analysis to support a value-based generation and evaluation of alternative solutions in complex multi-actor decision making settings.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1125558
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