EURO 2025 Leeds
Abstract Submission

2788. Addressing urban vulnerability through Nature-based Solution: A Spatial Multicriteria Analysis to identify priority intervention area

Invited abstract in session WA-39: Assessment Methods for Shaping the Green, Inclusive, and Digital Cities, stream Sustainable & Resilient Systems and Infrastructures.

Wednesday, 8:30-10:00
Room: Newlyn LG.01

Authors (first author is the speaker)

1. Giulia Datola
DAStU - Department of Architecture and Urban Studies, Politecnico di Milano
2. Marta Bottero
Department of Urban and Regional Studies and Planning, Politecnico di Torino
3. Marta DellOvo
Department of Architecture and Urban Studies, Politecnico of Milano
4. Giulia Tarantino
DIATI, Politecnico di Torino
5. Alessandra Oppio
Department of Architecture and Urban Studies, Politecnico of Milano

Abstract

Nature-Based Solutions (NBS) are recognised as effective strategies for addressing multidimensional challenges and implementing climate change mitigation interventions. NBS are nature-inspired solutions that provide environmental, social, and economic benefits. Their implementation in urban contexts aims at fostering synergies with nature, supporting sustainable and resilient development.
However, the operative implementation of NBS in urban contexts remains limited due to the absence of a suitable assessment tool capable of addressing their complexity and multidimensionality. Therefore, an operative Decision Support System (DSS) to assist policymakers in properly integrating NBS into strategic urban planning is required.
To address this gap, this contribution proposes the Spatial Multicriteria Analysis (SMCA) integrated with Cost-Benefit Analysis (CBA). SMCA is applied to identify the most urgent intervention areas based on a Vulnerability Index that evaluates environmental, social, and infrastructural aspects. CBA then estimates the costs and benefits of proposed NBS interventions. The framework was tested in the city of Milan by identifying vulnerable brownfield sites where intervention was most needed.
The obtained results underline that the proposed DSS effectively supports the NBS integration into strategic urban planning, helping decision-makers to prioritize intervention areas and optimize resource allocation.

Keywords

Status: accepted

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