Application of Design Scenarios Methodology to Evaluate the Effectiveness of Transparent Parametric Design Spaces

Abstract

Quality designs generally emerge from a conceptual design process that generates and communicates large design spaces of objectives, alternatives, impacts, and values. Parametric modeling is a popular means for generating large alternative spaces; however, it is difficult to use effectively when the other spaces are not well generated. In this study, a framework for measuring design space clarity and quality is applied to traditional nonparametric practice—and to two applications of parametric modeling—on high-rise projects. The framework reveals deficiencies in both the quality and clarity of the design spaces that building designers are able to construct using traditional and parametric methods. A fourth industry case study illustrating the application of a formal methodology called design scenarios developed to address these shortcomings is described. The case studies illustrate the potential for significant impact that parametric modeling can have on the overall conceptual design process performance, particularly when supported by methodologies that better generate and communicate design spaces.