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2404. Enhancing Local Sustainable Development: A Digital Spatial Decision Support System to Recovery Marginal Areas in Italy

Invited abstract in session TC-47: MCDA and urban planning 2, stream Multiple Criteria Decision Analysis.

Tuesday, 12:30-14:00
Room: 50 (building: 324)

Authors (first author is the speaker)

1. Maurizia Pignatelli
DIST, Politecnico di Torino

Abstract

Urban areas are undergoing a digital transition of spatial planning systems. This transition implements advanced infrastructure technologies to define future scenarios efficiently. Spatial support system tools supporting sustainable development and help local governance processes to make better decisions. However, spatial planning systems at the local level often fail to adapt to small-scale and local social innovations, particularly in marginalized areas, highlighting the need for improved integration of digital technologies.
The study aims to create an interactive web-GIS dashboard, serving as a digital Multicriteria Spatial Decision Support System (MC-SDSS), to assist local authorities in fostering a responsive environment for future local policy actions aimed at recovering sustainable local development.
The methodological framework of this study is structured in two parts: (I) Define an evaluation framework based on the set of Key Performance Indicators (KPIs) and perform the spatial impact assessment in four pilot case studies (II) Develop an interactive web dashboard consisting in KPIs through the use of GIS for setting targets and strategies through the implementation of Multicriteria Analysis (MCA) and a Social Design System Thinking (SDST) approach.
The results demonstrate the operability of the web dashboard and the key findings of its implementation in the case studies, providing a set of suitable strategies and actions to recover sustainable marginal areas.

Keywords

Status: accepted


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