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Towards Urban Densification

Using Shape Grammar to Develop Components for Retrofitting Street Design

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Computer-Aided Architectural Design. "Hello, Culture" (CAAD Futures 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1028))

Abstract

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.

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Acknowledgements

This study was financed by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brazil (CAPES) - Finance Code 001 through PhD Scholarships in Brazil and abroad (Process 88881.187989/2018-01).

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Authors and Affiliations

  1. The University of Campinas, Campinas, 13083-970, Brazil

    Marcela Noronha Pinto de Oliveira e Sousa & Gabriela Celani

Authors
  1. Marcela Noronha Pinto de Oliveira e Sousa
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  2. Gabriela Celani
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Corresponding author

Correspondence to Marcela Noronha Pinto de Oliveira e Sousa .

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Editors and Affiliations

  1. Korea Advanced Institute of Science and Technology, Daejeon, Korea (Republic of)

    Ji-Hyun Lee

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de Oliveira e Sousa, M.N.P., Celani, G. (2019). Towards Urban Densification. In: Lee, JH. (eds) Computer-Aided Architectural Design. "Hello, Culture". CAAD Futures 2019. Communications in Computer and Information Science, vol 1028. Springer, Singapore. https://doi.org/10.1007/978-981-13-8410-3_34

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  • DOI: https://doi.org/10.1007/978-981-13-8410-3_34

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-8409-7

  • Online ISBN: 978-981-13-8410-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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