Journal of Information Technology in Construction
ITcon Vol. 23, pg. 157-178, http://www.itcon.org/2018/8
Design space construction: a framework to support collaborative, parametric decision making
submitted: | July 2017 | |
revised: | June 2018 | |
published: | June 2018 | |
editor(s): | Kumar B. | |
authors: | John Haymaker, AIA, PhD
Director of Research, Director of Process Lab, Perkins+Will; john.haymaker@perkinswill.com Marcelo Bernal, PhD, Senior Researcher & Computational Designer, Assistant Professor Perkins+Will; Department of Architecture, Universidad Técnica Federico Santa María; Marionyt Tyrone Marshall, AIA, Senior Researcher, Co-Director Energy Lab, Perkins+Will Victor Okhoya, Assoc. AIA, Senior Researcher, Design Applications Manager; PhD Candidate Perkins+Will; School of Architecture, Carnegie Mellon University Anton Szilasi, Researcher, Perkins+Will Roya Rezaee, PhD, CPHC, Research Scientist, Perkins+Will Cheney Chen, PhD, P.Eng., Senior Sustainable Building + Energy Engineer, Perkins+Will Andrew Salveson, Software Engineer, Perkins+Will Justin Brechtel, Senior Computational Designer, Perkins+Will Luc Deckinga, Digital Practice Manager, Perkins+Will Hakim Hasan, Researcher, Perkins+Will Phillip Ewing, Researcher, Perkins+Will Benjamin Welle, PhD, PE, BD+C, BEMP, Director of Energy Lab, Perkins+Will | |
summary: | This paper describes a framework of concepts and processes that support teams to construct and explore design spaces maximizing social, environmental, and economic value. The framework guides teams through processes of problem formulation, alternative generation, impact analysis, and value assessment. The paper describes an extensible supporting computational infrastructure based on a system integration approach and structured in four layers: parametric user interface, analysis engines, software interfaces, and data visualization. The paper describes implemented functionality in terms of goal and preference-setting, parametric modeling, energy, daylight, view, first cost, lifecycle cost and lifecycle carbon, and demonstrates application through a test case. The paper concludes with evidence about the power and flexibility of the DSC framework with the results of a professional case study, and a survey of professional and student architects who have been trained in constructing and exploring parametric, performance-based design spaces. | |
keywords: | design space, problem formulation, parametric modeling, performance, value, decision making | |
full text: | (PDF file, 5.173 MB) | |
citation: | John Haymaker J, Bernal M, Tyrone Marshall T M, Okhoya V, Szilasi A, Rezaee R, Chen C, Salveson A, Brechtel J, Deckinga L, Hasan H, Ewing P, Welle B (2018). Design space construction: a framework to support collaborative, parametric decision making, ITcon Vol. 23, pg. 157-178, https://www.itcon.org/2018/8 |