Design Implications of Model-Generated Urban Data
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 co...
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2019-11-01
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doaj-c8c71f89aa2a4f28a3d136065294b5ef2020-11-25T01:08:43ZengArchitectural Research Centers ConsortiumEnquiry: The ARCC Journal of Architectural Research2329-93392019-11-0116210.17831/enq:arcc.v16i2.1061Design Implications of Model-Generated Urban DataLjubomir Jankovic0University of Hertfordshire 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. https://www.arcc-journal.org/index.php/arccjournal/article/view/1061Urban modelling, cellular automata, market mechanisms, urban performance metrics, urban design implications |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ljubomir Jankovic |
spellingShingle |
Ljubomir Jankovic Design Implications of Model-Generated Urban Data Enquiry: The ARCC Journal of Architectural Research Urban modelling, cellular automata, market mechanisms, urban performance metrics, urban design implications |
author_facet |
Ljubomir Jankovic |
author_sort |
Ljubomir Jankovic |
title |
Design Implications of Model-Generated Urban Data |
title_short |
Design Implications of Model-Generated Urban Data |
title_full |
Design Implications of Model-Generated Urban Data |
title_fullStr |
Design Implications of Model-Generated Urban Data |
title_full_unstemmed |
Design Implications of Model-Generated Urban Data |
title_sort |
design implications of model-generated urban data |
publisher |
Architectural Research Centers Consortium |
series |
Enquiry: The ARCC Journal of Architectural Research |
issn |
2329-9339 |
publishDate |
2019-11-01 |
description |
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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topic |
Urban modelling, cellular automata, market mechanisms, urban performance metrics, urban design implications |
url |
https://www.arcc-journal.org/index.php/arccjournal/article/view/1061 |
work_keys_str_mv |
AT ljubomirjankovic designimplicationsofmodelgeneratedurbandata |
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