2018
DOI: 10.1177/1478077118798395
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Computational urban design prototyping: Interactive planning synthesis methods—a case study in Cape Town

Abstract: This paper is motivated by the fact that in Cape Town, South Africa, approximately 7.5 million people live in informal settlements and focuses on potential upgrading strategies for such sites. To this end, we developed a computational method for rapid urban design prototyping. The corresponding planning tool generates urban layouts including street network, blocks, parcels and buildings based on an urban designer's specific requirements. It can be used to scale and replicate a developed urban planning concept … Show more

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Cited by 16 publications
(14 citation statements)
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“…A 3D object is-contrary to other architecture software such as CityEngine or Rhino-is represented by its faces, which are polygons. Nonetheless, design criteria such as orthogonality of road connections or block sizes ( [40,41]), isovist analysis [42] and symmetry analysis [43] can be calculated but are not applicable to our present pilot dataset. This is because the objects in our exercise represent a class of objects with a certain style and not objects with the exact same typology.…”
Section: Discussionmentioning
confidence: 99%
“…A 3D object is-contrary to other architecture software such as CityEngine or Rhino-is represented by its faces, which are polygons. Nonetheless, design criteria such as orthogonality of road connections or block sizes ( [40,41]), isovist analysis [42] and symmetry analysis [43] can be calculated but are not applicable to our present pilot dataset. This is because the objects in our exercise represent a class of objects with a certain style and not objects with the exact same typology.…”
Section: Discussionmentioning
confidence: 99%
“…Literature [24] uses the data as prior knowledge to give the location and overall outline of the building, then uses the building material center in the image as the initial seed point for region segmentation using fuzzy sets, and finally uses adaptive threshold segmentation for the obtained results. In morphological method for trimming, literature [25] used unsupervised clustering of high-resolution satellite panchromatic images to confirm the existence of the building by looking at the shadow area of the building with the lowest gray value in the result and then performed edge extraction and transformation processing on the candidate target to obtain architectural goals. Based on the data characteristics and attribute information of the 3D building model, literature [26] analyzes the data hierarchy of the 3D building model and designed the data structure for the 3D building model, as well as organized and managed the algorithm's 3D building LOD model.…”
Section: Related Workmentioning
confidence: 99%
“…Como exemplares de arquiteturas responsivas podemos apresentar o projeto de fachada solar adaptável que reúne e associa técnicas de arquitetura sustentável, robótica, computação onipresente e aprendizado de máquina, avançando em direção à sistemas arquitetônicos com capacidade de aprender com a experiência, ou seja, sistemas arquitetônicos adaptáveis (ROSSI et al, 2012), ambientes interativos e habilitados no fornecimento de respostas ambientais discretas com transições e suaves e contínuas em um contexto sensível, através do aprendizado de máquina, para o apoio a tomada de decisão a partir de avaliação de estado (OUNGRINIS; LIAPI, 2014); ou ainda como sistemas capazes de gerar projetos urbanos (MIAO et al, 2018).…”
Section: Bim E Aprendizado De Máquinaunclassified