Merate Barakat Merate.Barakat@uwe.ac.uk
Senior Lecturer in Computational Architecture
Emerging urban aural patterns: Finding connections between emergence in architecture and soundscape eEcology
Barakat, Merate; Weinstock, Michael
Authors
Michael Weinstock
Abstract
Cities are dynamic, spatial and material systems that exhibit power scaling and selfsimilarity across a range of scales. Spatial designers are informed by mathematical and biological systems and use concepts and processes abstracted from them to analyse the emergent phenomena of dynamic complex systems. Although there is an increasing interest in integrating aural perceptual phenomena within the discourse of spatial design domains, both of these fields continue to develop separately. Urban factors, activities, and morphologies determine the aggregate pattern of aural spaces. In turn, the sonic character affects social order within urban patches. Currently, borrowed epistemological concepts are integrated into both domains, where emergence of architecture and soundscape ecology form the current state-of-the-art for research on urban and soundscape design, respectively. This paper explores soundscape ecology as a point of departure to build on the theory of emergence in architecture by drawing parallels and contrasts between these two domains.
Journal Article Type | Article |
---|---|
Acceptance Date | Nov 25, 2015 |
Publication Date | Mar 6, 2016 |
Deposit Date | Feb 8, 2017 |
Publicly Available Date | Feb 9, 2017 |
Journal | Interference: A Journal of Audio Culture |
Print ISSN | 2009-3578 |
Peer Reviewed | Peer Reviewed |
Volume | 5 |
Pages | 7-24 |
Keywords | architecture, urban, design, research, emergence, soundscape, ecology |
Public URL | https://uwe-repository.worktribe.com/output/913416 |
Publisher URL | http://www.interferencejournal.org/emerging-urban-aural-patterns-finding-connections-between-emergence-in-architecture-and-soundscape-ecology/ |
Contract Date | Feb 8, 2017 |
Files
2016_Interference Journal - Issue 5 - Emerging Urban Aural Patterns.pdf
(632 Kb)
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