University of Hertfordshire

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By the same authors

Design Implications of Model-Generated Urban Data

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Original languageEnglish
Pages (from-to)50-63
JournalEnquiry - The ARCC Journal
Volume16
Issue2
DOIs
Publication statusPublished - 11 Nov 2019

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.

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Published by the Architectural Research Centers Consortium under the terms of the Attribution-NonCommercial-ShareAlike 4.0 International license.

ID: 17773304