Abstract
Urban planning involves many aspects and various disciplines,
demanding an asynchronous planning approach. The level of
complexity rises with each aspect to be considered and makes it
difficult to find universally satisfactory solutions. To improve
this situation we propose a new approach, which complement
traditional design methods with a computational urban planning
method that can fulfil formalizable design requirements
automatically. Based on this approach we present a design
space exploration framework for complex urban planning
projects. For a better understanding of the idea of design space
exploration, we introduce the concept of a digital scout which
guides planners through the design space and assists them in
their creative explorations. The scout can support planners
during manual design by informing them about potential impacts
or by suggesting different solutions that fulfill predefined
quality requirements. The planner can change flexibly between
a manually controlled and a completely automated design
process.
The developed system is presented using an exemplary urban
planning scenario on two levels from the street layout to the
placement of building volumes. Based on Self-Organizing
Maps we implemented a method which makes it possible to
visualize the multi-dimensional solution space in an easily
analysable and comprehensible form.
Originalsprache | Englisch |
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Seiten (von - bis) | 38-45 |
Seitenumfang | 8 |
Fachzeitschrift | FCL Magazine |
Publikationsstatus | Veröffentlicht - 2016 |
Research Field
- Ehemaliges Research Field - Energy