Translating Urban Resilience into Deployable Streetscapes: A Sense-of-Place–Mediated Measurement–Choice Framework with Threshold Identification

To enact urban resilience at the street–neighborhood scale, we advance a two-stage “measurement–scenario–combination” framework. Stage 1 develops and validates a unified instrument covering four latents—place attachment/identity, accessibility–safety, governance–maintenance, and adoption–participation. Stage 2 uses an image-based conjoint with seven street-landscape elements at five levels; utilities are estimated with hierarchical Bayes, and multigroup SEM with bootstrapped mediation (public vs. expert) tests psychosocial pathways via perceived safety, place attachment, and governance beliefs. The sampling blends online self-administration with targeted invitations under quotas and quality controls. The results yield transferable thresholds and consensus anchors: street width and lighting peak in the upper-middle range; greenery and activity hubs follow inverted-U curves; and preferred traffic exposure centers on mid-to-low bands. Mediation is stronger through attachment/safety for the public, while experts rely more on governance/maintenance beliefs; disagreements concentrate at upper extremes (over-illumination and excessive canopy). We contribute a deployable configuration frontier that translates “being seen–being shaded–being used” into governable specifications, integrating public–expert knowledge to support citywide baselines, community negotiation menus, and policy–standard updates for heat- and injury-risk mitigation and activation of use and collaboration.

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Publication Details

Journal
Urban Science
Published
2025-11-26
DOI
https://doi.org/10.3390/urbansci9120501
Primary Topic
Urban Green Space and Health
Type
article
Field-Weighted Citation Impact
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article

Translating Urban Resilience into Deployable Streetscapes: A Sense-of-Place–Mediated Measurement–Choice Framework with Threshold Identification

Tao Wu, Biao Zhou, Yifei Li, Yalan Zhang et al.
Urban Science
Urban Green Space and Health
article

Translating Urban Resilience into Deployable Streetscapes: A Sense-of-Place–Mediated Measurement–Choice Framework with Threshold Identification

Tao Wu, Biao Zhou, Yifei Li, Yalan Zhang, Jiahe Wang, Pufan Song
article en

Abstract

To enact urban resilience at the street–neighborhood scale, we advance a two-stage “measurement–scenario–combination” framework. Stage 1 develops and validates a unified instrument covering four latents—place attachment/identity, accessibility–safety, governance–maintenance, and adoption–participation. Stage 2 uses an image-based conjoint with seven street-landscape elements at five levels; utilities are estimated with hierarchical Bayes, and multigroup SEM with bootstrapped mediation (public vs. expert) tests psychosocial pathways via perceived safety, place attachment, and governance beliefs. The sampling blends online self-administration with targeted invitations under quotas and quality controls. The results yield transferable thresholds and consensus anchors: street width and lighting peak in the upper-middle range; greenery and activity hubs follow inverted-U curves; and preferred traffic exposure centers on mid-to-low bands. Mediation is stronger through attachment/safety for the public, while experts rely more on governance/maintenance beliefs; disagreements concentrate at upper extremes (over-illumination and excessive canopy). We contribute a deployable configuration frontier that translates “being seen–being shaded–being used” into governable specifications, integrating public–expert knowledge to support citywide baselines, community negotiation menus, and policy–standard updates for heat- and injury-risk mitigation and activation of use and collaboration.

Urban ScienceVol. 9(12)
Minzu University of China (CN), Hainan University (CN), Sanya University (CN), Central Academy of Fine Arts (CN), Lanzhou University (CN)
Openalex Percentile: Top 54%
Urban Green Space and Health
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