Global spatiotemporal multi-criteria analysis of coastal risk: current and future hot spots and clusters
Marco Bidoia and
Carlo Giupponi
No 391377, FEEM Working Papers from Fondazione Eni Enrico Mattei (FEEM)
Abstract:
Coastal zones are among the environments most threatened by climate change. Although various efforts for global mapping and classification of coastal social and ecological systems have been undertaken, the ability to analyse and describe the spatial heterogeneity and multidimensionality of these phenomena remains limited. In the current study, we developed a methodological framework for assessing risk from extreme sea levels and examined its application at the global level. A multi-criteria analysis method was applied to the current scenario and to two future combinations of shared socioeconomic (SSP2 and 5) and representative concentration pathways (RCP4.5 and 8.5), accounting for risk attitudes. Risk maps derived from multi-criteria analysis aggregation of spatial indicators of hazard, vulnerability, and exposure enabled the identification of global hot spots, comprising large areas facing high levels of risk, mostly located in Northern Europe, South-East Asia and Southern USA. Spatial clusters with common risk features were identified and mapped using multivariate analysis. The results contribute to improving the state of the art by providing a synoptic view of global coastal risks. Given the high spatial resolution (1 km), the proposed methods may also be helpful for improving adaptation strategies at the regional and national scales and for facilitating the sharing of solutions between areas with similar situations identified by cluster mapping.
Keywords: Climate Change; Environmental Economics and Policy (search for similar items in EconPapers)
Pages: 16
Date: 2026-01-29
References: Add references at CitEc
Citations:
Downloads: (external link)
https://ageconsearch.umn.edu/record/391377/files/NDL2026-04.pdf (application/pdf)
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:ags:feemwp:391377
DOI: 10.22004/ag.econ.391377
Access Statistics for this paper
More papers in FEEM Working Papers from Fondazione Eni Enrico Mattei (FEEM) Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().