Knöll, Martin ; Neuheuser, Katrin ; Cleff, Thomas ; Rudolph-Cleff, Annette (2018)
A tool to predict perceived urban stress in open public spaces.
In: Environment and Planning B: Urban Analytics and City Science, 45 (4)
doi: 10.1177/0265813516686971
Artikel, Bibliographie
Dies ist die neueste Version dieses Eintrags.
Kurzbeschreibung (Abstract)
This article presents an exploratory framework to predict ratings of subjectively perceived urban stress in open public spaces by analysing properties of the built environment with GIS and Space Syntax. The authors report on the findings of an empirical study in which the environmental properties of a sample of open public spaces in the city of Darmstadt, Germany were constructed and paired to users’ ratings. The data are analysed using different types of multivariate analyses with the aim to predict the ratings of perceived urban stress with a high explained variance and significance. The study finds that open public space typologies (park, square, courtyard, streets) are the best predictors for perceived urban stress, followed by isovist characteristics, street network characteristics and building density. Specifically, the isovist visibility, vertices number and perimeter, previously related to arousal and complexity in indoor spaces, show significant relation to perceived urban stress in open public spaces, but with different direction of effects. A model is presented that achieves a predictive power of R2 = 54.6%. It extends existing models that focused on green spaces and streetscapes with a first exploratory attempt to predict more complex reactions such as perceived urban stress.
Typ des Eintrags: | Artikel |
---|---|
Erschienen: | 2018 |
Autor(en): | Knöll, Martin ; Neuheuser, Katrin ; Cleff, Thomas ; Rudolph-Cleff, Annette |
Art des Eintrags: | Bibliographie |
Titel: | A tool to predict perceived urban stress in open public spaces |
Sprache: | Englisch |
Publikationsjahr: | 2018 |
Ort: | Darmstadt |
Verlag: | Sage |
Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Environment and Planning B: Urban Analytics and City Science |
Jahrgang/Volume einer Zeitschrift: | 45 |
(Heft-)Nummer: | 4 |
DOI: | 10.1177/0265813516686971 |
Zugehörige Links: | |
Kurzbeschreibung (Abstract): | This article presents an exploratory framework to predict ratings of subjectively perceived urban stress in open public spaces by analysing properties of the built environment with GIS and Space Syntax. The authors report on the findings of an empirical study in which the environmental properties of a sample of open public spaces in the city of Darmstadt, Germany were constructed and paired to users’ ratings. The data are analysed using different types of multivariate analyses with the aim to predict the ratings of perceived urban stress with a high explained variance and significance. The study finds that open public space typologies (park, square, courtyard, streets) are the best predictors for perceived urban stress, followed by isovist characteristics, street network characteristics and building density. Specifically, the isovist visibility, vertices number and perimeter, previously related to arousal and complexity in indoor spaces, show significant relation to perceived urban stress in open public spaces, but with different direction of effects. A model is presented that achieves a predictive power of R2 = 54.6%. It extends existing models that focused on green spaces and streetscapes with a first exploratory attempt to predict more complex reactions such as perceived urban stress. |
Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 700 Künste und Unterhaltung > 710 Landschaftsgestaltung, Raumplanung 700 Künste und Unterhaltung > 720 Architektur |
Fachbereich(e)/-gebiet(e): | 15 Fachbereich Architektur 15 Fachbereich Architektur > Fachgruppe E: Stadtplanung 15 Fachbereich Architektur > Fachgruppe E: Stadtplanung > Urban Health Games |
Hinterlegungsdatum: | 02 Jul 2024 22:12 |
Letzte Änderung: | 02 Jul 2024 22:12 |
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A tool to predict perceived urban stress in open public spaces. (deposited 20 Jun 2024 16:32)
- A tool to predict perceived urban stress in open public spaces. (deposited 02 Jul 2024 22:12) [Gegenwärtig angezeigt]
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