Main street intersections (Public spaces) as growth points Natural resources and public amenities as attractors
Total percentage of public spaces
%
100
Simulation example for the public cell generation.The extent of growth in each case is pre-defined based on its proximity to closest attractor curve.
B.Public space generation
nodes as public places
The generated public spaces act as cores for development around it. These public spaces may include religious places as well as building like markets and community centres. However, in this experiment, the public spaces are all kept as open spaces which would be further developed in the future experiments. The public spaces are thoughtfully distributed on the seeds which were achieved in the last experiment. For this process of distribution, the logic of cellular automata is used where the system grows based on states of neighbouring cells. An array of points at a distance of 1m is provided for the site, each time there is a check condition, the point checks the state of its 8 neighbours around it to finally achieve its own state. However, controlling this growth was important since it covers up the whole site .Thus a stop condition is introduced to control this growth. The idea of attractors is used to set bounds for each seed growth with predefined values of public spaces. The distance between the seed and the nearest point on attraction curve is taken and based on the distance the public spaces are distributed. The run count stops It reaches its maximum value.
Input - seed points Public space
Set array of test points
Check neighbours
Set of 1 x 1 m cells
?
If no.of neighbours(public) > 0
If the cluster more than allocated maximum value (ratio between total cells and distance of the seed from attractor)
Stop growing