期刊
RISK ANALYSIS
卷 -, 期 -, 页码 -出版社
WILEY
DOI: 10.1111/risa.14258
关键词
climate adaptation measures; coastal cities; extreme events; risk management; scenario-based preferences; systems engineering
This study develops a participatory method to identify and prioritize a set of risk measures for increasing climate resilience. The results demonstrate that sensitivity analysis provides valuable information on how different sectors of expertise can influence the ranking of risk management measures.
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.
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