TU Darmstadt / ULB / TUbiblio

A tool to predict perceived urban stress in open public spaces

Knöll, Martin and Neuheuser, Katrin and Cleff, Thomas and Rudolph-Cleff, Annette (2017):
A tool to predict perceived urban stress in open public spaces.
In: Environment and Planning B: Urban Analytics and City Science, Sage Journals, pp. 797-813, 45, (4), ISSN 2399-8091,
DOI: 10.1177/0265813516686971,
[Online-Edition: https://tuprints.ulb.tu-darmstadt.de/8317],
[Article]

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.

Item Type: Article
Erschienen: 2017
Creators: Knöll, Martin and Neuheuser, Katrin and Cleff, Thomas and Rudolph-Cleff, Annette
Title: A tool to predict perceived urban stress in open public spaces
Language: English
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.

Journal or Publication Title: Environment and Planning B: Urban Analytics and City Science
Volume: 45
Number: 4
Publisher: Sage Journals
Uncontrolled Keywords: Open public space, built environment, perceived urban stress, Space Syntax, GIS
Divisions: 15 Department of Architecture
15 Department of Architecture > Fachgruppe E: Stadtplanung
15 Department of Architecture > Fachgruppe E: Stadtplanung > Urban Health Games
Date Deposited: 27 Jan 2019 20:55
DOI: 10.1177/0265813516686971
Official URL: https://tuprints.ulb.tu-darmstadt.de/8317
URN: urn:nbn:de:tuda-tuprints-83179
Related URLs:
Export:

Optionen (nur für Redakteure)

View Item View Item