Indicadores de cidades inteligentes e sustentáveis: um estudo aplicado ao caso de Campina Grande/PB.

Abstract

This dissertation develops and applies an integrated indicator model to assess smart and sustainable cities, using Campina Grande, Brazil, as a case study. It is based on the premise that urban intelligence must be intrinsically connected to sustainability, requiring the critical articulation of international assessment frameworks with specific local conditions. The study adopts a mixed-methods approach, including literature and document review, the systematization of 34 evaluation models, and the identification of 198 indicators grouped into seven dimensions: economic, environmental, social, technological, institutional, mobility, and quality of life. The AHP and MCDA methods were employed to weight and rank the indicators and dimensions. The results indicate a predominance of environmental and technological dimensions both in international models and in the local urban performance, revealing strong alignment with innovation and environmental management agendas. In contrast, governance and social inclusion presented lower weights, indicating structural weaknesses and asymmetries among sustainability pillars. The application of the integrated model also identified gaps in data integration, civic participation, and institutional capacity, as well as strengths related to the innovation ecosystem, the educational sector, and the technological infrastructure of the city. The study concludes that the proposed model is methodologically robust, replicable, and adaptable to different territorial contexts. It provides technical support for urban planning aligned with the Sustainable Development Goals (SDGs) and the New Urban Agenda. The findings also highlight the need to strengthen participatory governance, spatial justice, and data-driven management to advance sustainable urban strategies in Campina Grande and in similar cities.