Narraway, CL;
Davis, OSP;
Lowell, S;
Lythgoe, KA;
Turner, JS;
Marshall, S;
(2019)
Biotic analogies for self-organising cities.
Environment and Planning B: Urban Analytics and City Science
10.1177/2399808319882730.
(In press).
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Abstract
Nature has inspired generations of urban designers and planners in pursuit of harmonious and functional built environments. Research regarding self-organisation has encouraged urbanists to consider the role of bottom-up approaches in generating urban order. However, the extent to which self-organisation-inspired approaches draw directly from nature is not always clear. Here, we examined the biological basis of urban research, focusing on self-organisation. We conducted a systematic literature search of self-organisation in urban design and biology, mapped the relationship between key biological terms across the two fields and assessed the quality and validity of biological comparisons in the urban design literature. Finding deep inconsistencies in the mapping of central terms between the two fields, a preponderance for cross-level analogies and comparisons that spanned molecules to ecosystems, we developed a biotic framework to visualise the analogical space and elucidate areas where new inspiration may be sought.
Type: | Article |
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Title: | Biotic analogies for self-organising cities |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1177/2399808319882730 |
Publisher version: | https://doi.org/10.1177%2F2399808319882730 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Self-organisation, niche construction, urban design, analogy, biological comparison |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > The Bartlett School of Planning |
URI: | https://discovery.ucl.ac.uk/id/eprint/10085570 |
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