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    Application of the affinities theory to the environmental sustainability of tourist destinations: The case of Ljubljana
    (Elsevier Ltd, 2024-09-01)
    Sustainability has become a critical concern for many destinations seeking to revitalize their tourism industry while also dealing with issues stemming from climate change. To address these challenges, practical strategies to manage the harmful effects of the environmental crisis are necessary. Despite the critical role of sustainability, there still needs to be more practical solutions for implementing it in practice. The article aims to (i) broaden the discussion on sustainable tourism and solutions to reduce the impacts of climate change, and (ii) to understand the relationships of affinities between pro-environmental initiatives and the characteristics of the destination based on the perceptions of tourists who visit the city of Ljubljana. This study analyses tourist perception in an urban destination focusing on reducing carbon footprint and promoting sustainable development. Through a case study and the application of Affinities Theory, a specific algorithm to recognise affinity connections, a database with 372 international tourists who visited Ljubljana is utilised. This study has an explanatory goal and uses a comprehensive method (quantitative-qualitative). The findings confirmed that the characteristics of the destination most relevant to the tourist are Sustainable, Environmentally Friendly, and Safe. The research acknowledged practical approaches to improve the competitiveness and sustainability of tourism. The results could assist managers and policymakers in formulating sustainability-based strategies and reducing decision-making uncertainty. Also, it deepens the theoretical understanding of sustainable tourism and climate change mitigation strategies using a modelling and simulation method that other researchers can replicate in different contexts. This innovative research employs the Affinities Theory to assess Ljubljana's urban sustainability, examining how environmental practices can help reduce climate change's impact and how tourists perceive these practices.
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    Algorithm Applied to SDG13: A Case Study of Ibero-American Countries
    (MDPI, 2023-01-01)
    Scientific studies confirm the existence of a crisis caused by climate change, in which global causes produce local effects. Despite climate agreements, greenhouse gas emissions continue to fall short of targets to limit global warming. There is still a need for comparable data for Sustainable Development Goal (SDG) 13—Climate Action. The motivation of the research is to provide data for decision-making and to propose solutions to address the climate crisis. The article aims to propose a Fuzzy Logic algorithm to evaluate the SDG13 indicators and to deepen the discussion on climate change. The research is applied explanatory with a combined approach (quantitative-qualitative) through modeling, simulation, and case studies. As a result, the OWA operator ranks 10 Ibero-American countries to SDG13, indicating Colombia, Peru, and Cuba in the first positions. The main contributions are the reduction of identified knowledge gaps and proposals for action for policy and decision-makers. A limitation of this study would be the number of participating countries. The authors indicate future lines of research.