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Bio-Flourish City proposes a futuristic city constructed on congestion nodes to combat transportation-related pollution. It locates congested areas based on population density and transportation hubs. On the basis of the density of the four essential green modes of transportation, these sites are integrated and designated future congestion nodes. Then these places are used to analyse urban morphology.
The project simulates the shortest traffic bridges, corridors, and networks connecting various congestion spots by biointelligence of Physarum polycephalum and machine learning, resulting in a new city. Critical node placements are created utilising novel generative adversarial network algorithms that differentiate visual aspects.
It examines the site's informational features and intervenes in its evolution through a series of visual simulations. The simulation may generate point clouds for every geographic development. Point clouds conveying various forms of data can grow into various locations and architectures. The project's traffic hub is crowded with human and non-human.
The Bio-Flourish City eschews anthropocentrism in favour of the revelation of non-human wisdom, beginning with the concept of energy conservation and environmental betterment and ending with the conception of a city model capable of coexisting together with humans and non-humans.
Structure constructed from white point cloud data depicting human facilities and green represent landscape in the area. They are combined from two data.
Fulfil the city's transportation role using energy-saving alternatives, while buildings at key development locations serve as public rail and transit interchanges.
With a large number of public transit lines and linked buildings, the future city will minimise emissions and better handle future challenges such as rapid population growth.
The urban fabric of four different areas after the biological experiment.
Different effects of the biological electronic experiment and the biological reality experiment on urban fabric.
Three different urban forms were classified from the experimental results of area A.
Pixelated technology is used to distinguish different color information in slices, so as to represent human facilities and green landscape in the city.
The process of changing the urban form by the generation of slime mould.
The study found that traffic pollution is the main source of air pollution in the city's core. Human lung disease mortality has increased due to these factors.
Superimpose the data of population density and traffic flow to get the current urban congestion point, which is also the area for further research.
We evaluate four green transportation options (electric vehicle, public transportation, bicycle, and walking) in four places to determine the future city's new transportation hub.
The data of the four kinds of energy-saving transportation were overlapped to obtain the experimental sites with the most development potential in the future cities.
The process of overlapping data to get experimental points.
Selecting the satellite and clear texture of the appropriate scale as an experimental object.
Based on the result, this shows a zooming in of three representative areas of this image.
Using 3D cycle GAN technique to transform into pixel models.
Creating a new urban city form of architectural scale based on the application of the voxel model.