Titre:	Master planning with urban algorithms : urban parameters, optimization and scenarios
Auteur(s):	Pereira, Bianca Ilha
Assunto::	Algoritmos urbanos Planejamento urbano - Distrito Federal (Brasil)
Date de publication:	2019
Editeur:	CAADRIA
Référence bibliographique:	PEREIRA, Bianca Ilha. Master planning with urban algorithms: urban parameters, optimization and scenarios. In: INTERNATIONAL CONFERENCE ON COMPUTER-AIDED ARCHITECTURAL DESIGN RESEARCH IN ASIA, 24., 2019, Wellington. Proceedings [..]. Hong Kong: The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), 2019. v. 2. p. 51-60. Disponível em: https://papers.cumincad.org/data/works/att/caadria2019_091.pdf.
Abstract:	The analogue definition of studies on urban planning can be very time consuming in the top-down process of designing. Keeping in mind the rapid urbanization we had in Brazil, and the continuous migration to the capital of the country located in Federal District, our aim is to use digital aid models that could be flexible and make quicker responses to urban issues. Algorithms as finite sequences of instructions have broad application. Designing cities demands the interpretation of variables linked to the territory and takes into account the current legislation in order to develop urban plans. This research creates an algorithmic basis using Grasshopper® to propose a mathematical solution for interpreting the existing space, and from it, to model urban scenes. The territorial analysis uses the user’s perspective, with the interpretation of pre-existing characteristics, such as main roads, function and equipment distributions that make up the basic services. It is based on parameters extracted from theoretical repertoire and community facilities optimization through Galapagos evolutionary solver to deliver different proposed scenarios.
metadata.dc.description.unidade:	Faculdade de Arquitetura e Urbanismo (FAU)
metadata.dc.description.ppg:	Programa de Pós-Graduação em Arquitetura e Urbanismo
metadata.dc.relation.publisherversion:	https://papers.cumincad.org/data/works/att/caadria2019_091.pdf
Collection(s) :	Trabalhos apresentados em evento

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