Performance-Based Planning to Reduce Flooding Vulnerability Insights from the Case of Turin (North-West Italy)

Stefano Salata, Silvia Ronchi, Carolina Giaimo, Andrea Arcidiacono and Giulio Gabriele Pantaloni
Additional contact information
Stefano Salata: Department of City and Regional Planning, Izmir Institute of Technology, Gülbahçe Kampüsü Urla, İzmir 35430, Turkey
Silvia Ronchi: Department of Architecture and Urban Studies, Politecnico di Milano, Via Bonardi 3, 20133 Milano, Italy
Carolina Giaimo: Responsible Risk Resilience Center, Interuniversity Department of Regional and Urban Studies and Planning, Politecnico di Torino, Viale Pier Andrea Mattioli, 39, 10125 Torino, Italy
Andrea Arcidiacono: Department of Architecture and Urban Studies, Politecnico di Milano, Via Bonardi 3, 20133 Milano, Italy
Giulio Gabriele Pantaloni: Interuniversity Department of Regional and Urban Studies and Planning, Politecnico di Torino, Viale Pier Andrea Mattioli, 39, 10125 Torino, Italy

Sustainability, 2021, vol. 13, issue 10, 1-25

Abstract: Climate change impacts urban areas with greater frequency and exposes continental cities located on floodplains to extreme cloudbursts events. This scenario requires developing specific flooding vulnerability mitigation strategies that improve local knowledge of flood-prone areas at the urban scale and supersede the traditional hazard approach based on the classification of riverine buffers. Moreover, decision-makers need to adopt performance-based strategies for contrasting climate changes and increasing the resilience of the system. This research develops the recent Flooding Risk Mitigation model of InVEST (Integrated Evaluation of Ecosystem Services and Trade-off), where cloudburst vulnerability results from the soil’s hydrological conductivity. It is based on the assumption that during cloudburst events, all saturated soils have the potential for flooding, regardless of the distance to rivers or channels, causing damage and, in the worst cases, victims. The model’s output gives the run-off retention index evaluated in the catchment area of Turin (Italy) and its neighborhoods. We evaluated the outcome to gain specific insight into potential land use adaptation strategies. The index is the first experimental biophysical assessment developed in this area, and it could prove useful in the revision process of the general town plan underway.

Keywords: ecosystem services; resilience; performance-based urban planning; cloudburst; flooding (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
https://www.mdpi.com/2071-1050/13/10/5697/pdf (application/pdf)
https://www.mdpi.com/2071-1050/13/10/5697/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:13:y:2021:i:10:p:5697-:d:557738

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().