4d.Data.Driven.Develpment

Project Thesis

Based on research on the density in areas of London and on the density of public programs available in these areas, the required number of different programs in areas of different densities were calculated.

Certain program clusters were classified -which were then distributed across the entire site according to degree of density designated for the different parts of the site. The distribution was done according to a mean distance diagram, ensuring an ideal distribution of program. These public program nodes were then connected to complimentary program nodes, creating a public network with suitable and efficient connections acting as a structuring element in the urban fabric.

Along this network and in the nodes the volume of public and commercial program was distributed, thus lining the public spaces with functions other than private residences.
The shape of the volume distributed is then dependent on the site (available area), number of connections in node and the size of the original node (determined by the type of program focus that node has) as well as the density in the area of the node.

In the fills between the public streets the  residential development was distributed around a central private space, assuming different configurations as the site-size changes and as the roof level undulates.
The combined roofs of the residential developments generate a gigantic landscape elevated from street level, as well as a second pedestrian network in the city, offering an unobstructed view to the higher public nodes as islands of density and identity in a flowing landscape of residential developments.

Project Team: Jakub Klaška, Kristián Csémy, Marius Cernica, Martin Blum-Jansen

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