Research Centre: iLab
Active Dates: July 2010 - June 2012, July 2013 - June 2014
Principal Investigator: Yan GAO
Funding body: Seed Funding Programme for Basic Research
The proposed research project was the first to investigate open source design for high density housing in Hong Kong with computation and information modeling. It has the potential to change current model from mass standardization to mass customization, echoing the PRC State Council “Made in China 2025” strategy aimed at transforming China into a leading world manufacturing power. This research project proposes a new design methodology, entitled Intelligent Computational Design (ICD) with computational automation and information modeling. We aim to develop a proof of concept process for allowing future occupants to specify the design parameters for individual units, which are subject to mass design and industrial production. This project has applied the methods including but not limit to Relative Parametric Modeling, Negotiated Space Exploration, Evolutional Many-criteria Optimization, Graphic-based Fuzzy Computation, and Best Possible Solutions, at the scale of neighborhood, building and unit.
A series of Computational Models (CM) of housing capable of automatically generating unit aggregation based on collective rules. All the units must be aggregated in conjunction with a series of computational massing models, responding to the specific urban context as scenarios.
We hope to provide design methodologies and tool sets to substantiate the idea of mass customization in high-density housing, enabling the Hong Kong housing industry to lead an evolution in housing with a new housing supply model which transforms high-density housing design into a transparent evolutionary process from minority-controlled empirical patterns to majority participatory customization.