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An Explorative Study on the Identification and Evaluation of Restorative Streetscape Elements

Bibliographic Data

ID21989710
AuthorsYuting Yin (0000-0003-0182-5330), Yuhan Shao (0000-0003-2400-5335), Zhenying XUE, Kevin Thwaites, Kexin Zhang (0000-0002-7942-6850)
Year2020
Volume8
Issue4
Pages76
Publication date2020-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueLandscape Architecture Frontiers (JOURNAL)
Journal identifiersISSN: 2095-5405 • E-ISSN: 2095-5413
PublisherEngineering Sciences Press (PUBLISHER)
DOI10.15302/j-laf-0-020005
OpenAlexW3082062877
LanguageEN
Citations received3

The street is a type of important urban public space with multiple social values, one of which is the restorative potential. Based on the “beingaway,” “extent,” “fascination,” and “compatibility” constructs of restorative environments proposed by the Attention Recovery Theory, this study elaborated the significance of restorativeness provided by street environments to people living in high-density cities. It used the traditional restorativeness scale with mobile eye trackers to explore the restorative experience provided by an urban street, and identified the specific streetscape elements related to restorativeness and the degree of their influences. The results show that “greenery,” “people,” and “cars” perform significant influences, and different streetscape elements have different degrees of influences on the 4 constructs of the restorative environment. For example, for the“being-away,” “extent,” and “fascination” constructs, the influence of “greenery” is the most important, while “people” plays the core role in “compatibility.” The findings can help professionals develop targeted design strategies to improve diverse street environments for a better restorativeness

Architectural engineering · Transport engineering · Engineering · Place Attachment and Urban Studies · Psychology · Urban and spatial planning · Urban Green Space and Health

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    Paula Barros, Ved Mehta•Journal of Urban Design•2024

  • Perception of urban street visual color environment based on the CEP-Kass framework

    Open Access•Ningjun Chen, Lei Wang et al.•Landscape and Urban Planning•2025

Unique citing works3
Citations per year0,75
Citation span2022 - 2025 (4)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 3

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Open DOIOpen Access
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