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CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	cf2019_064
id	cf2019_064
authors	Noronha Pinto de Oliveira E Sousa, Marcela and Maria Gabriela Caffarena Celani
year	2019
title	Towards Urban Densification Using Shape Grammar to Develop Components for Retrofitting Street Design
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 505
summary	Cities will have to become denser to accommodate expanding urban populations, creating a challenge for urban mobility. Existing urban infrastructure must be retrofitted to promote the use of collective and active modes of transportation. This article presents a prescriptive grammar, for retrofitting urban street design in the context of densification, based on patterns extracted from current guides and manuals. This prescriptive grammar is a crossover between concepts of shape grammar and pattern language, joining generative capabilities of geometric shape grammars with descriptive and prescriptive approaches commonly referred to as design patterns. An example is presented to illustrate its application.
keywords	Shape Grammar, Parametric Urbanism, Travel Behavior
series	CAAD Futures
email
last changed	2019/07/29 14:18

_id	ecaadesigradi2019_233
id	ecaadesigradi2019_233
authors	Noronha Pinto de Oliveira e Sousa, Marcela, Duarte, Jose and Celani, Gabriela
year	2019
title	Urban Street Retrofitting - An Application Study on Bottom-Up Design
doi	https://doi.org/10.52842/conf.ecaade.2019.3.287
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 3, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 287-296
summary	Urban streets will have to be retrofitted to improve walkability and to provide space for a diversity of transport modes. This paper introduces a framework which combines space syntax and shape grammars in a design support method for generating scenarios for urban street retrofitting. A procedure to hierarchize streets and select priority locations for urban street retrofitting is presented. Four different angular choice analyses with decreasing radii are used to derive the hierarchical structure of target urban areas with the aim of triggering shape grammar rules and generating bottom-up intervention designs. The same measure using a local radius to represent walking modal is then used to determine which streets should be retrofitted to improve pedestrian safety and walkability for the largest number of people. An application study using this procedure is presented and results are compared to street hierarchies from two different sources. This study is the first step towards automating the generation of design scenarios for urban street retrofitting.
keywords	Space Syntax; Street Hierarchy; Parametric Urbanism; Scenario Modeling; Travel Behavior
series	eCAADeSIGraDi
email
last changed	2022/06/07 08:00

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