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

PDF papers
id ecaade2017_019
authors Liu, Yuezhong, Stouffs, Rudi and Tablada, Abel
year 2017
title Rethinking the Urban Design Process from a Data Perspective
source Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 449-460
summary Urban design always requires the processing of large amounts of data from multi-disciplinary sources during the decision-making stages. However, unfamiliar multi-disciplinary data sets can only lead to confusion and uncertainty. This research proposes a data-driven approach for supporting the urban design process. A hybrid data mining method is used to cluster, classify and rank solution-instances according to geometrical properties and energy performance. An urban design case study is used to demonstrate the proposed method with respect to two performance issues: solar heat gains and natural ventilation. The result shows that the method addressing both familiar and unfamiliar data can effectively guide the designer during the design process.
keywords energy performance; S3VM; decision tree; familiar and unfamiliar
series eCAADe
full text file.pdf (30,386,146 bytes)
references Content-type: text/plain
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