Computer modelling for town planning

The Urban Center for Computation and Data (UrbanCCD) is to apply the most advanced computational and data-driven techniques to the challenge of intelligent urban planning.

The organisation will be initially funded by a $600,000 grant from the US National Science Foundation, which unites researchers from several Chicago institutions, city officials and private enterprise with the Computation Institute (CI), a joint initiative between the University of Chicago and Argonne National Laboratory.

'We're seeing accelerated urbanisation globally, outpacing traditional tools and methods of urban design and operation,' said UrbanCCD director Charlie Catlett, CI senior fellow and senior computer scientist at Argonne National Laboratory.

'The consequences are seen in inefficient transportation networks belching greenhouse gasses and unplanned city-scale slums with crippling poverty and health challenges. There is an urgent need to apply advanced computational methods and resources to both explore and anticipate the impact of urban expansion and find effective policies and interventions.'

The collaboration will analyse urban data and build complex computer models that simulate the impact of policy decisions and development upon a city and its residents.

Twitter icon
Google icon icon
Digg icon
LinkedIn icon
Reddit icon
e-mail icon

For functionality and security for externalised research, software providers have turned to the cloud, writes Sophia Ktori


Robert Roe looks at the latest simulation techniques used in the design of industrial and commercial vehicles


Robert Roe investigates the growth in cloud technology which is being driven by scientific, engineering and HPC workflows through application specific hardware


Robert Roe learns that the NASA advanced supercomputing division (NAS) is optimising energy efficiency and water usage to maximise the facility’s potential to deliver computing services to its user community


Robert Roe investigates the use of technologies in HPC that could help shape the design of future supercomputers