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Learning from architectural theory about how cities work as complex and evolving spatial systems

Bibliographic Data

ID12913801
AuthorsFrancesca Froy (0000-0003-4878-7394, University of Oxford, corresponding author)
Year2023
Volume16
Issue3
Pages495-510
Publication date2023-09-20
Open AccessYes
TypeARTICLE
VenueCambridge Journal of Regions Economy and Society (JOURNAL)
Journal identifiersISSN: 1752-1386 • E-ISSN: 1752-1378
PublisherOxford University Press (OUP) (PUBLISHER)
DOI10.1093/cjres/rsad024
OpenAlexW4386952409
LanguageEN
Citations received3
References cited51

This article seeks to advance a key element of the methodological framework for evolutionary economic geography (EEG)—the conceptualisation of ‘urban space’. Drawing on recent theories from architecture and urban data science, it argues that the networked and topological qualities of urban built environments have been neglected in the EEG discipline, and yet they play an important role in how cities work as ‘complex evolving systems’. The article explores different ways in which the spatial configuration of cities influences urban economic evolution, drawing on Bill Hillier’s theory of space syntax and a case study from Greater Manchester. It concludes that when urban street systems are disrupted this can potentially become one contributing factor in why places become economically ‘left behind’

Architectural engineering · Architectural theory · Civil engineering · Complex system · Data science · Economic geography · Element (criminal law · Geography · Key (lock · Political science · Regional science · Social science · Sociology · Space syntax · Urban design · Urban theory · Work (physics · Computer Science · Engineering · Land Use and Ecosystem Services · Regional Economics and Spatial Analysis · Urban Design and Spatial Analysis · Architecture · Law

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Citations per year1.5
Citation span2024 - 2026 (3)
Highly citedNo

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