Collaborative large-scale urban design with the focus on the agent-based traffic simulation

The better integration of the knowledge and expertise from different disciplines into urban design and the creation of more interdisciplinary and collaborative work processes to accommodate this have been under discussion in related research for decades. Nevertheless, many barriers preventing a seamless collaborative work flow still persist. In this paper we present an experiment taking place under real-world conditions, which outlines an alternative way for more efficient collaboration by focusing on the design process rather than the result and thus providing additional insights for all parties involved. A parametric design approach was chosen to help mediate between the areas of expertise involved supporting the smooth transition of data, the mutual translation of design feedback and better informed design decisions as an outcome. The case study presented in this paper exemplifies the application of the approach in a design project on masterplan scale integrating inputs from urban design, economics and mobility experts; and shows the opportunity for transforming the formerly segregated design process into a platform for transparent negotiations.