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3001. A MCDA Model to Support Territorial Planning at the Regional Scale: the Case of Negotiated Planning Tools in the Lombardy Region

Invited abstract in session TD-47: MCDA and urban planning 3, stream Multiple Criteria Decision Analysis.

Tuesday, 14:30-16:00
Room: 50 (building: 324)

Authors (first author is the speaker)

1. Marta DellOvo
Department of Architecture and Urban Studies, Politecnico of Milano
2. Alessandra Oppio
Department of Architecture and Urban Studies, Politecnico of Milano
3. Marco Rossitti
DAStU, Politecnico di Milano
4. Francesca Torrieri
Department of Industrial Engeneering, University of Naples Federico II

Abstract

Nowadays, public territorial planning is called to properly orient public funding toward interventions that ensure long-term sustainability while contributing to collective well-being. For this reason, resorting to integrated planning tools, opened to public-private partnerships, becomes crucial, together with considering their coherence with the reference planning frame. Based on these premises, the research reflects on the evaluation models’ role in addressing this coherence issue and supporting territorial planning by implementing negotiated planning tools in the Lombardy Region. Indeed, negotiated planning is a means to address public interest toward territorial development by promoting public-private partnerships. It is ruled by the R.L. 19/2019, which provides an evaluation clause to understand the tools’ contribution to achieving regional objectives. Thus, the research aims to define an evaluation model to support the regional administration in ensuring the effective implementation of negotiated planning tools and their compliance with regional strategies. The multi-dimensional nature of the considered issue calls for resorting to Multi-Criteria Analysis. After describing the methodological process to trace the law’s provisions into a multi-criteria frame, the evaluation model is tested on some case studies of implemented Agreements in the Lombardy Region. Such a test better highlights the model’s opportunities, limits, and improvement room.

Keywords

Status: accepted


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