E-Motion: Redefining London’s Ecology of Intelligence
Nowadays in the age of pandemics and social distancing, the use of space for citizens should be more flexible and dynamic. Roads will also become reprogrammable spaces as means of transport are reduced and walking is incentivised. E-Motion investigates the resurfacing of human-centred cities based on a new idea of ecology and mobility. The project aims to redistribute and blur public spaces through pixel feature conversion. The mobility habits of animals and humans are simulated in order to enhance the ecological corridors while advancing London’s productive and adaptive mobility for low-carbon travel.
This map encodes different intelligent behaviours within the city. Animal movement is examined in relation to parks and the green belt.
The data points occupied by different agents are not only about dividing boundaries, but they are suggestive of the different possibilities and opportunities they hold.
From data distribution to materialisation, the narrative and authenticity of resurfacing material changes will be designed through the metadata distribution.
Suitable value points are filtered for the materialisation of data.
The project interface bridges human and non-human intelligence through data.
Human-centred cities are resurfaced based on new ideas of ecology and mobility through the use of pixel data and machine learning.