Design Implications of Model-Generated Urban Data

Jankovic, Ljubomir

Abstract

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.

Citation

Jankovic, L. (2019). Design Implications of Model-Generated Urban Data. #Journal not on list, 16(2), 50-63. https://doi.org/10.17831/enq%3Aarcc.v16i2.1061

• Journal Article Type: Article
• Publication Date: Nov 11, 2019
• Deposit Date: Oct 11, 2024
• Publicly Available Date: Oct 11, 2024
• Journal: Enquiry - The ARCC Journal
• Electronic ISSN: 2329-9339
• Peer Reviewed: Peer Reviewed
• Volume: 16
• Issue: 2
• Pages: 50-63
• DOI: https://doi.org/10.17831/enq%3Aarcc.v16i2.1061
• Keywords: Urban modelling, cellular automata, market mechanisms, urban performance metrics, urban design implications