2025
Saulo de Lima Chaves, Jefferson Freire Ribeiro, João Pedro Deodato
Barreto, Newton Célio Becker, Eugênio Moreira
Abstract. The present study aims to develop a computational tool based on visual programming with scenario simulations grounded in urban planning parameters defined in the Land Use and Occupation Law of the city of Fortaleza, located in Brazil. Evaluation metrics based on the Space Matrix study are also incorporated to extract indicators from the built reality and the scenario generated by the algorithm, enabling a comparative analysis between the two realities. A City Information Modeling (CIM) framework is used to integrate databases based on Geographic Information Systems (GIS) and algorithmic modelers for the exchange of information produced for different platforms. The contribution of this work relates to the development of auxiliary tools to support decision making, especially in the context of urban zoning within the Brazilian reality.
Keywords: City information modeling, Urban zoning, Parametric design, Spacematrix.
Darliane Gomes Pereira , Ana Beatriz Lima Rêgo, Jefferson Freire Ribeiro, Ana Márcia Rocha Mota, Daniel Ribeiro Cardoso, João Pedro Deodato Barreto
Abstract. In order to develop a responsive city, it is essential to recognize that social risks and vulnerabilities are not randomly distributed and that urban planning, by acting selectively, can reinforce climate injustice. Would it be possible to design intervention proposals in risk areas in such a way as to encourage residents to stay? This article investigates sustainable drainage interventions in areas at risk of flooding that favor the permanence of residents. The research uses Landscape Information Modelling (LIM) to analyze the effectiveness of the solutions proposed for Comunidade da Paz, in Fortaleza. An algorithm was developed to calculate the water retention and absorption capacity of the planned infrastructure, generating results according to the duration and frequency of rainfall. Using a systemic approach, the study proposes aligning environmental infrastructure responses to urban complexity, incorporating climate justice as a guideline.
Keywords: Climate justice, Sustainable drainage, Nature based solutions, Socio-environmental vulnerability, Landscape Information Modelling