University of Hertfordshire

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Design Implications of Model-Generated Urban Data

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Design Implications of Model-Generated Urban Data. / Jankovic, Ljubomir.

In: Enquiry - The ARCC Journal, Vol. 16, No. 2, 11.11.2019, p. 50-63.

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@article{fd448d36716c4f7aadd9e50399b50290,
title = "Design Implications of Model-Generated Urban Data",
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.",
keywords = "Urban modelling, cellular automata, market mechanisms, urban performance metrics, urban design implications",
author = "Ljubomir Jankovic",
note = "Published by the Architectural Research Centers Consortium under the terms of the Attribution-NonCommercial-ShareAlike 4.0 International license.",
year = "2019",
month = nov,
day = "11",
doi = "10.17831/enq:arcc.v16i2.1061",
language = "English",
volume = "16",
pages = "50--63",
journal = "Enquiry - The ARCC Journal",
issn = "2329-9339",
publisher = "Architectural Research Centers Consortium (ARCC)",
number = "2",

}

RIS

TY - JOUR

T1 - Design Implications of Model-Generated Urban Data

AU - Jankovic, Ljubomir

N1 - Published by the Architectural Research Centers Consortium under the terms of the Attribution-NonCommercial-ShareAlike 4.0 International license.

PY - 2019/11/11

Y1 - 2019/11/11

N2 - 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.

AB - 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.

KW - Urban modelling

KW - cellular automata

KW - market mechanisms

KW - urban performance metrics

KW - urban design implications

U2 - 10.17831/enq:arcc.v16i2.1061

DO - 10.17831/enq:arcc.v16i2.1061

M3 - Article

VL - 16

SP - 50

EP - 63

JO - Enquiry - The ARCC Journal

JF - Enquiry - The ARCC Journal

SN - 2329-9339

IS - 2

ER -