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Design Space Exploration

How can we make sense of the myriads of requirements and design goals embedded in any urban design project? 

Given the parametric models and AI-backed simulation framework we have developed,   
we have algorithmically generated thousands of designs for an urban block in Vienna.   
In addition, we have also computed, for each solution, many metrics that a typical urban design task might include, for example density measures, space allocation and microclimate indicators.  

Using a popular design space exploration tool, it is possible to then narrow down the selection of designs based on the design and planning goals that are to be achieved. In this way, designs’ performance can be compared based on quantitative metrics, and goals and requirements of different stakeholders can be easily discussed and mediated.  

Crucially, this computational framework helps us to better understand how different designs and planning goals relate to each other. In this way, we can make better informed decisions and learn about our cities.

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