Yin, Y., Thwaites, K. and Simpson, J. (2022) Exploring the use of restorative component scale to measure street restorative expectations. URBAN DESIGN International, 27 (2). pp. 145-155. ISSN 1357-5317
Abstract
Contemporary high-density urban environments frequently have limited green resources, such as parks and woodlands, that are conventionally associated with psychological restoration. The restorative potential of everyday spaces such as urban streets, therefore, takes on heightened significance. Our study proposes that the delivery of streets for psychological restoration differs from that of wider urban open spaces. This is because streets serve functions not primarily associated with optional leisure activities. During the study, we used an online questionnaire (n = 153) based on Restorative Component Scales (RCS) to assess peoples’ restorative expectations on four different types of Shanghai street. We also adopted a scenario approach which asked participants to imagine and evaluate the ideal condition of each street type for providing them with restorative experiences. Our results show that users expected the highest restorative quality in the street scenario ‘landscape and leisure’, with the lowest expectations expressed for ‘traffic-oriented’ streets. People’s expectations on ‘commercial’ and ‘living and service’ street scenarios were similar. These findings reveal clear design implications for the delivery of socially restorative streets, with special consideration on street typology and user expectations.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 The Author(s). This is an author-produced version of a paper subsequently published in URBAN DESIGN International. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Restorative expectation; Street typology; Restorative Component Scale; Perceptive measurements |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Department of Landscape Architecture (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 11 Jul 2022 10:57 |
Last Modified: | 20 May 2023 00:13 |
Status: | Published |
Publisher: | Springer Nature |
Refereed: | Yes |
Identification Number: | 10.1057/s41289-022-00186-w |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:188955 |