We apply the method to the Metropolitan City of Cagliari, the main urbanized area-which partially includes the former Province of Cagliari-of Sardinia (Italy). In this study, we aim at designing and applying a method for drafting GI guidelines. The scientific literature has scarcely dealt with methods for drafting guidance documents (guidelines) to support public administrations in the implementation of GIs. In this regard, in 2020 the European Commission released the European Biodiversity Strategy 2030, which defines biodiversity conservation objectives and promotes the implementation of green infrastructures (GIs) designed to supply ecosystem services, which can increase people’s well-being. European institutions have published documents and strategies with the purpose of counteracting such phenomena. The decline of natural capital resulting from urbanization has triggered phenomena such as landscape fragmentation and loss of biodiversity. Weighting per se can be beneficial for more acceptable and viable decisional processes.
Otherwise, high robustness does not mean that weighting was not worthwhile. Higher sensitivity values signal that the effort of weighting leads to more informative composites. The exercise provides the reader with meaningful results. We focus on the sensitivity of the composite to different algorithms combining three weighting patterns (equalization, extraction by principal component analysis, and expert judgment) and three indicators aggregation rules (weighted average mean, weighted geometric mean, and weighted generalized geometric mean). In this paper, we aim at presenting a weighted release of the CILF and at developing the Hamletian question of whether weighting is worthwhile or not. It was originally proposed by us as an unweighted combination of three LF indicators for the study of the phenomenon in Sardinia, Italy. Landscape fragmentation (LF), the subdivision of habitats in smaller and more isolated patches, has been studied through the composite index of landscape fragmentation (CILF). Prominent questions concern indicators’ weighting, which implies time-consuming activities and should be properly justified. Composite indicators (CIs), i.e., combinations of many indicators in a unique synthetizing measure, are useful for disentangling multisector phenomena.
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