Please use this identifier to cite or link to this item: http://hdl.handle.net/10071/29337
Author(s): Sousa, M.
Paio, A.
Editor: Werner, L., and Koering, D.
Date: 2020
Title: Pattern-driven design for small public spaces: An analysis of pattern books and toolboxes
Volume: 2
Book title/volume: Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th Conference on Education and Research in Computer Aided Architectural Design in Europe, eCAADe 2020
Pages: 491 - 498
Event title: 38th Conference on Education and Research in Computer Aided Architectural Design in Europe, eCAADe 2020
Reference: Sousa, M., & Paio, A. (2020). Pattern-driven design for small public spaces: An analysis of pattern books and toolboxes. In L. Werner, & D. Koering (Eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th Conference on Education and Research in Computer Aided Architectural Design in Europe, eCAADe 2020 (vol.2, pp. 491-498). eCAADe (Education and Research in Computer Aided Architectural Design in Europe). https://doi.org/10.52842/conf.ecaade.2020.2.491
ISSN: 2684-1843
ISBN: 978-9-49120-721-1
DOI (Digital Object Identifier): 10.52842/conf.ecaade.2020.2.491
Keywords: Urban patterns
Urban toolbox
Small public spaces
Data-driven design
Pattern language
Abstract: Urban spatial patterns that can enhance the city's cultural, social, environmental, material and structural performance advance beyond the old notions of design patterns by incorporating the digital design. Pattern books such as Alexander A Pattern Language are revisited and toolboxes /toolkits are used in contemporary urban designs by laboratories and offices. The aim of this paper is to analyze the particularities and congruencies between some systems of patterns, pattern books, toolboxes and toolkits aimed at small public spaces, also considering the context of digital culture. The methodology proposed is the construction of a taxonomy that relates and classifies these selected patterns, by these following steps: a) selecting of patterns applicable to small public spaces; b) classification of patterns by "type" (location, behavior, processes and design components) and by "driven designs" approach (data-driven design, performance-driven design, and material- driven design); c) making and inserting in the taxonomy platform a table of elements and connections; d) filtering by classes for analysis. From the results obtained in the visualizations, it is possible to consider a larger volume of "location" type patterns and a smaller volume in "processes" indicating a field that can be developed.
Peerreviewed: yes
Access type: Open Access
Appears in Collections:DINÂMIA'CET-CRI - Comunicações a conferências internacionais

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