Project Design Portfolio for Shadow-Shaped City
Machine-Learning Urbansim, Research Cluster 14 (RC14), 2021
M.Arch Urban Design, University College London
As cities are constantly evolving, the change of road networks, infrastructure and built forms leading towards the reconfiguration of urban spaces. In the Age of Information, with the large amount of data transmitting through the urban environment daily, such changes are largely affected the invisible data layers, seeing as the ‘ghost’ twin of our city – the shadow. The fluidity of city and the beauty its ‘shadow’, both physically and metaphorically, should be revealed and praised in the design process of the urban environment.
The project aims to study such controversial qualities of how we defined ‘shadow’ urban space, by bringing in the bridge that not only establish physical links, but also connecting places via virtual networks. It will test and try to answer the question: how does the ‘shadow’ shape the city?
