I wanted to develop a model based on neural networks and cellular automata which can help predict how well a city is expanding, and what the effects on other areas will be if development are not monitored.
Whatever I know on the subject it has been published in the recent volume Montanari A. (ed.) 2013 , Urban coastal area conflicts analysis methodology. Human mobility, climate change and local sustainable development. You can find the text on Research Gate
I am not specialist in neurology but it is interesting to understand the close link between neuro system and Ecosystem. The cybernetic theory is interesting in this issue.
As well as Mike Batty's Cities and Complexity and A New Science for Cities (MIT Press) there is a major tome by Stephen Wolfram called A New Kind of Science. A general survey of current moves to develop a global computer science network to help manage the planet (update on Bucky's operating manual to fly Spaceship Earth) is at dcitynetwork.net/manifesto. Good luck Rajat,
All your answers are interesting, but is information level enough in better understanding town planning? i think there is something missing, i mean the urban actors roles in the urban system, isn't?
I think that a NN approach will conduct you to a pattern based model. Moreover, as NNs are a bit "black box" approach, it will be difficult to make the model help you to better understanding town planning. So maybe a process based modeling will be more helpeful in you case, or at least pattern based using a method allowing to incorporate expert knowledge as weight of evidence
There is an up-to-date review of modeling review at