TY - GEN
T1 - Urban Street Retrofitting An Application Study on Bottom-Up Design
AU - E Sousa, Marcela Noronha Pinto de Oliveira
AU - Duarte, Jose
AU - Celani, Gabriela
N1 - Publisher Copyright:
© 2019, Education and research in Computer Aided Architectural Design in Europe. All rights reserved.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
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U2 - 10.5151/proceedings-ecaadesigradi2019_233
DO - 10.5151/proceedings-ecaadesigradi2019_233
M3 - Conference contribution
AN - SCOPUS:85127612990
SN - 9789491207198
T3 - Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe
SP - 287
EP - 296
BT - Architecture in the Age of the 4th Industrial Revolutio
A2 - Sousa, José Pedro
A2 - Henriques, Gonçalo Castro
A2 - Xavier, João Pedro
PB - Education and research in Computer Aided Architectural Design in Europe
T2 - 37th Conference on Education and Research in Computer Aided Architectural Design in Europe and 23rd Conference of the Iberoamerican Society Digital Graphics, eCAADe SIGraDi 2019
Y2 - 11 September 2019 through 13 September 2019
ER -