The rapid urban growth followed by disordered occupation has been generating significant impacts on cities, bringing losses of an economic and social nature that directly interfere with the well-being of the population. In this work, a proposal for local urban infrastructure problems associated with watercourse management is presented, comparing Sustainable Drainage System (SuDS) techniques and Low-Impact Development (LID) concepts with alternative traditional interventions. The study addresses sustainable alternatives to cope with the urbanization of the Cehab’s open channel, which is an important urban watercourse tributary of the Muriaé River, at the municipality of Itaperuna, Rio de Janeiro—Brazil. The multi-criteria decision-making method called Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was applied here. The results highlighted the better performance of sustainable techniques when compared to the traditional ones, with an overall advantage of the geogrids and geocells for this case study. The obtained TOPSIS coefficients-C for these techniques were higher (0.59488, for Reach 1; and 0.68656, for Reach 2) than those for the others. This research, therefore, presented an important urban watercourse management methodology that can be further applied to guide sustainable investments and help the decision-making associated with the development of territories.

O fast fashion, ou moda rápida em português, surgiu com o conceito de reduzir os lead-times dos processos e entregar produtos novos e da moda às lojas no menor tempo possível. Esse modelo tem como objetivo atender a necessidade de consumo momentânea e destaca-se pelo seu desempenho econômico. No entanto, como os produtos são produzidos, consumidos e descartados em um curto período de tempo, seja pela falta de qualidade das peças ou pela constante mudança de tendência da moda, há um maior descarte da indústria, gerando um impacto ambiental enorme, além do impacto social como infrações aos direitos humanos, direitos trabalhistas, entre outros. Nesse sentido o objetivo do presente estudo é avaliar o desempenho das empresas de fast fashion selecionadas ao longo do período de 2018 a 2020 a partir das práticas e indicadores disponíveis nos relatórios de sustentabilidade. No aspecto metodológico, o estudo adota uma abordagem exploratória, além de uma análise qualitativa e quantitativa. Nesse aspecto, com apoio dos métodos multicritérios AHP para atribuição de peso e TOPSIS para ordenação das alternativas, foi possível compreender e comparar as dimensões econômica, ambiental e social nas empresas. Como resultado, foi obtida uma matriz que possibilitou a análise e comparação do desempenho das alternativas em relação às dimensões propostas pelo princípio Triple Bottom Line gerando a ordenação das mesmas.

Objective of this study was to include a support approach, in order to help the public manager in decision-making, in projects related to the modernization and efficientization of the public lighting park by LED (Light Emitting Diode) technology combined with multicriteria method AHP (Analytic Hierarchy Process) and Bayesian Networks, through probabilistic analysis that most impact the sustainability aspects. The method consists of a quantitative surveythat was composed of the development of a new methodological approach with the combination of the AHP method and the Bayesian Network. In conclusion, the results obtained from the Bayesian Network modeling provided invaluable support to the experts involved in the decision-making process. This approach not only made it possible to make complex decisions in a more informed way, but also established a determining parameter for the action to be taken, as well as enriching the process of justification. It is therefore clear that this methodology represents a substantial advance in the ability to address the challenges of sustainability in the management of public lighting systems.

Despite the growing importance of community resilience, there remains a lack of integrated and data-driven frameworks capable of assessing resilience from a sustainable development perspective and supporting decision-making at the municipal level. To address the challenge of evaluating community resilience through an integrated framework grounded in sustainable development dimensions, this study proposes a framework for assessing community resilience through a multicriteria decision-making approach. The methodology integrates economic, environmental, social, and institutional indicators, entropy weighting, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and gap analysis to generate community resilience indices and identify priority areas for intervention. The framework was applied to municipalities in the state of Rio Grande do Sul, Brazil, a region recently affected by large-scale climate-related disasters. The results revealed significant disparities in resilience levels among the municipalities analyzed while gap analysis enabled the identification of critical weaknesses and development priorities for each municipality. The study contributes to the resilience assessment literature by integrating sustainability dimensions, objective weighting through entropy, TOPSIS, and diagnostic gap analysis into a unified decision-support framework that provides a replicable and data-driven tool for evaluating community resilience, supporting public policy formulation, investment prioritization, and strategies aimed at strengthening sustainable and resilient communities.