A Multiscale Model of Morphological Complexity in Cities: Characterising Emergent Homogeneity and Heterogeneity

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer review

Abstract

Approaches from complex systems science can support design decision-making by extracting important information about key dependencies from large, unstructured data sources. This paper presents an initial case study applying such approaches to city structure, by characterising low-level features and aggregate properties of artifact morphology in urban areas. First, shape analysis is used to describe microscale artifact clusters, analysed in aggregate to characterise macroscale homogeneity and heterogeneity. The characterisation is used to analyse real-world example cities, from both historic maps and present-day crowdsourced data, testing against two performance evaluation criteria. Next, the characterisation is used to generate simple artificial morphologies, suggesting directions for future development. Finally, results and extensions are discussed, including real-world applications for decision support.
OriginalsprogEngelsk
TitelShoCK! - Sharing Computational Knowledge! : Proceedings of the 35th eCAADe Conference
Vol/bind2
ForlageCAADe (Education and Research in Computer Aided Architectural Design in Europe) and ITU / YTU
Publikationsdatosep. 2017
Sider561-570
ISBN (Trykt)9789491207136
StatusUdgivet - sep. 2017
BegivenhedShoCK! - Sharing Computational Knowledge!: 35th eCAADe Conference - eCAADe – Educational and research in Computer Aided Architectural Design in Europe, Rome, Italien
Varighed: 20 sep. 201722 sep. 2017
http://w3.dicea.uniroma1.it/eCAADe2017/

Konference

KonferenceShoCK! - Sharing Computational Knowledge!
LokationeCAADe – Educational and research in Computer Aided Architectural Design in Europe
Land/OmrådeItalien
ByRome
Periode20/09/201722/09/2017
Internetadresse

Kunstnerisk udviklingsvirksomhed (KUV)

  • Nej

Citationsformater