This paper presents arguments and experiences around generative design applied to housing, combining the potential of computational tools with an agenda to increase internal differentiation. It argues for a more varied and mixed approach to the clustering of apartment types and building typologies to increase the social diversity within projects and in relation to this, the sustainability and resilience of urban environments towards future societal changes. Through the discussion of two residential projects operating at different scales, it is shown how carefully calibrated complexity can be introduced in the design process, communicating with clients and collaborators and keeping the complexity of the workflow minimised. It is argued that this avenue of work points to significant opportunities to rethink how computational architectural and urban design processes can be linked to social sciences and a more human-centred approach within the understanding of performance of the built environment.
CITATION STYLE
van Ameijde, J. (2022). Non-Standard Housing - Exploring Generative Design Strategies for Differentiated Residential Projects. In Proceedings of the 24th Conference on Computer Aided Architectural Design Research in Asia (CAADRIA) [Volume 2] (Vol. 2, pp. 241–250). CAADRIA. https://doi.org/10.52842/conf.caadria.2019.2.241
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