Design Implications of Model-Generated Urban Data

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The staggering complexity of urban environment and long timescales in the causal mechanisms prevent designers to fully understand the implications of their design interventions. In order to investigate these causal mechanisms and provide measurable trends, a model that partially replicates urban complexity has been developed. Using a cellular automata approach to model land use types and markets for products, services, labour and property, the model has enabled numerical experiments to be carried out. The results revealed causal mechanisms and performance metrics obtained in a much shorter timescale than the real-life processes, pointing to a number of design implications for urban environments.
Original languageEnglish
Pages (from-to)50-63
JournalEnquiry - The ARCC Journal
Issue number2
Publication statusPublished - 11 Nov 2019


  • Urban modelling
  • cellular automata
  • market mechanisms
  • urban performance metrics
  • urban design implications


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