| id |
caadria2023_340 |
| authors |
Kimm, Geoff, White, Marcus and Burry, Mark |
| year |
2023 |
| title |
Extending Visuospatial Analysis in Design Computing: An Exploration With a Novel GPU-Based Algorithm and Form-Based Codes |
| doi |
https://doi.org/10.52842/conf.caadria.2023.1.655
|
| source |
Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 655664 |
| summary |
This paper responds to a gap observed between the contemporary capacity for calculation and analysis of visibility of built environment features, such as buildings, in digital urban and architectural computational research models and the functionality of off-the-shelf software tools available to professionals. The research investigates the potential of visibility analysis to be embedded and extended within computational-based workflows of software tools to better meet urban design and planning industry needs. We introduce a novel method for visibility calculation that exposes output data for further analysis within a computational workflow and implement it in a game development engine used by software tool providers. Based in our engagement with a local government authority, we then use that method to demonstrate a workflow in the context of form-based building codes in which the visual impact of a building is considered rather than prescriptive limits on dimensions and use. Our results indicate the novel method has substantial performance improvements compared to an alternative mode of visibility calculation and that software providers could more thoroughly integrate and extend visibility analysis to meet industry needs. |
| keywords |
design computing, viewsheds, isovists, GPU shader, Unity 3D, genetic algorithm, generative design, form-based building codes |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (1,035,542 bytes) |
| references |
Content-type: text/plain
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| last changed |
2023/06/15 23:14 |
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