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

id caadria2017_043
authors Coorey, Anycie, Haeusler, M. Hank and Coorey, Ben
year 2017
title Predictive Urban Analytics - Exploring Choice Modelling and Revealed Preferences for Urban Design
source P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 209-218
summary Since the rise of generative design, a morphogenetic process of designing has emerged where algorithms are used to explore potential permutations of a solution to find the best design option. Yet, on a subjective level, identifying what option is considered best has often proven to be difficult. Hence, the paper discusses a foundation research to investigate prototypically subjective judgments concern matters of value and preference defined by end users in generative modelled urban design outcome. To do so the paper will introduce and outline research findings in the field of Micro-Economics, in particular its subcategories 'Choice Modelling' as a method and 'Revealed Preferences' as a methodology to assess whether user preferences can be identified and engaged as 'preferred' design options. In the paper the research will outline in greater depth the theories behind Choice Modelling and Revealed Preferences, a field that studies the behaviour of individuals, and its relevance for urban design, in particular Computational Urbanism. The paper discusses how Choice Modelling can analyse design outcomes and conclude and speculate about its use in an applied context.
keywords Generative design; Aesthetic judgment; Choice modelling; revealed preference; design evaluation.
series CAADRIA
email m.haeusler@unsw.edu.au
full text file.pdf (3,352,869 bytes)
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