Sensitivity analysis for a participatory approach to enhance the climate resilience of Venice, Italy.
climate adaptation measures
coastal cities
extreme events
risk management
scenario-based preferences
systems engineering
Journal
Risk analysis : an official publication of the Society for Risk Analysis
ISSN: 1539-6924
Titre abrégé: Risk Anal
Pays: United States
ID NLM: 8109978
Informations de publication
Date de publication:
08 Dec 2023
08 Dec 2023
Historique:
revised:
19
10
2023
received:
30
09
2022
accepted:
15
11
2023
medline:
9
12
2023
pubmed:
9
12
2023
entrez:
9
12
2023
Statut:
aheadofprint
Résumé
Increases in the magnitudes and frequencies of climate-related extreme events are redistributing risk across coastal systems, including their environmental, economic, and social components. Consequently, stakeholders (SHs) are faced with long-term challenges and complex information when managing assets, services, and uses of the coast. In this context, SH engagement is a key step for risk management and in the preparation of resilience plans to respond and adapt to climate change. This paper develops a participatory method to identify and prioritize a set of risk measures, combining multi-criteria analysis with sensitivity analysis. The process involved local and regional authorities of the Veneto region testing the method, including national, regional, and local government, catchment officers, research organizations, natural parks managers and Non-Governmental Organizations (NGOs). SHs identified and ranked a range of adaptation measures to increase climate resilience, with a focus on coastal risk in the Venice lagoon. Results demonstrate that the sensitivity analysis provides useful information on how different sectors of expertise can influence the ranking of the identified risk management measures, highlighting the value of investigating the preferences or priorities of different SH groups within the definition of adaptation plans.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Ministero degli Affari Esteri e della Cooperazione Internazionale
Informations de copyright
© 2023 Society for Risk Analysis.
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