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This study aims to present an innovative sandbox platform that implements a decision support system (DSS) to assess the sustainable development goals (SDGs) addressed at the municipal level. It intends to determine the relative importance of each SDG in municipalities and explore the synergies that can be discovered among them.

Participatory action research is used to develop a DSS and an algorithm designated as discrete heavy fuzzy was also developed, which extends the Apriori algorithm to include discrete quantitative assessments of the level of SDG compliance by each project. A scenario consisting of three municipalities in Portugal (i.e. Porto, Loulé and Castelo de Vide) was chosen to demonstrate the implementation of the sandbox platform and to interpret the observed results.

The results reveal significant differences in the typology of SDGs addressed by each municipality. It was found that municipal sustainable projects are strongly influenced by the contextual factors of each municipality. Porto has projects that address the first five SDGs. Loulé appears projects that promote innovation, the fight against climate change and the development of sustainable cities. Castelo de Vida has initiatives related to innovation and infrastructure and decent work and economic growth.

This study provides knowledge about the relative importance of the SDGs in Portuguese municipalities and explores the synergies among them. The proposed sandbox platform fills the gaps of the ODSlocal Webtool by proposing a dynamic and interactive approach for the exploration of quantitative indicators regarding the implementation status of the SDGs established in the 2030 Agenda.

This study provides knowledge about the relative importance of the SDGs and the various synergies that exist between them considering the Portuguese municipalities. The sandbox platform presented and developed within this study allows filling the gaps of the ODSlocal Webtool that gathers essentially qualitative information about each project and offers a dynamic and interactive exploration with quantitative indicators of the implementation status of the SDGs established in the 2030 Agenda.

Ultra-processed food products are omnipresent in our homes and in grocery stores, and everybody consumes these food products once in a while. In this context, the present study aims to analyse what factors influence the consumption behaviour of ultra-processed food products and, more precisely, what factors drive consumer satisfaction and purchase intention of these food products in one specific market – Spain-.

A model of consumer behaviour of ultra-processed food products is proposed and analysed through structural equation modelling on a sample of 608 consumers.

Findings indicate that the effortlessness of ultra-processed food products, as well as their affordability, are the factors that exert the higher influence on consumer satisfaction and purchase intention of ultra-processed food products. On the other hand, the product quality and the ability to save time show a negative influence on both consumer satisfaction and intention to purchase. Contrary to the initial expectations, product convenience and the hedonistic nature of ultra-processed food products do not influence consumer behaviour.

Food policymakers and public health interventions may consider possible actions to reduce the consumption of ultra-processed food products, the reduction of their affordability through taxation or the compulsory inclusion of nutritional warnings in the front of the package to confront marketing actions developed by food companies.

This study examines the factors that drive the purchase and consumption of ultra-processed food products in one European mature market: Spain.