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sousa, M. & Paio, A. (2020). Pattern-driven design for small public spaces: an analysis of pattern books and toolboxes. eCAADe2020, Anthropologic – Architecture and Fabrication in the cognitive age.

M. F. Sousa and A. C. Paio,  "Pattern-driven design for small public spaces: an analysis of pattern books and toolboxes", in eCAADe2020, Anthropologic – Architecture and Fabrication in the cognitive age, Berlim, 2020

@misc{sousa2020_1777379718991,
	author = "sousa, M. and Paio, A.",
	title = "Pattern-driven design for small public spaces: an analysis of pattern books and toolboxes",
	year = "2020",
	howpublished = "Digital",
	url = "https://www.ecaade2020.tu-berlin.de/program-v2/"
}

TY  - CPAPER
TI  - Pattern-driven design for small public spaces: an analysis of pattern books and toolboxes
T2  - eCAADe2020, Anthropologic – Architecture and Fabrication in the cognitive age
AU  - sousa, M.
AU  - Paio, A.
PY  - 2020
CY  - Berlim
UR  - https://www.ecaade2020.tu-berlin.de/program-v2/
AB  - 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 ``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) and relation to the recurrences of patterns between
the systems; 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
ER  -