One of the great challenges for the urban planner/designer is to establish strategies to deal with the increasing complexity of the contemporary city. Among the possibilities of dealing with it, the emergence of the so-called City Information Models (CIM) has presented itself as a promising direction. This paper seeks to contribute to the problem by describing a way to structure a CIM and proposing the creation of a computational application called Carcará, a plugin for a visual programming interface capable of reading and writing to a georeferenced database, allowing the creation of representations not only of the built space, but also manipulations of its semantic characteristics and calculation of a variety of metrics.
The present research stems from a critical reflection about the environmental adaptability of existing building envelopes. The main goal is to explore how to balance environmental optimization with contextual constraints, using modularity, flexibility and mass customization as guiding principles. An application study was carried out with the development of a second skin proposal aligned with the use and context of the building under study. For this purpose, simulations that assess environmental conditions were developed within a visual programming tool, not only feeding the design process with essential information, but also providing a flexible creative process. Results show that such simulations allow the designer to interpret these studies more accurately, reducing the iterative guesswork, since in this workflow it is possible to transform these outputs into proposition parameters for new designs or interventions.
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