Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9951830 | Advanced Engineering Informatics | 2018 | 10 Pages |
Abstract
To improve the design process we propose a system to assist the design team in exploring the balance of concerns, design options and their performance. We augment a 3d visualisation crowdsourcing environment with quantitative on-demand assessment of design variants run in the cloud. This enables crowdsourced exploration of the design space and its performance. Automated participant tracking and explicit submitted feedback on design options are collated and presented to aid the design team in balancing the demands of urban master planning. We report application of this system to an urban masterplan with Arup.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
David Birch, Alvise Simondetti, Yi-ke Guo,