Translating Urban Resilience into Deployable Streetscapes: A Sense-of-Place–Mediated Measurement–Choice Framework with Threshold Identification
Year: 2025
Type: article
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.
Source: Urban Science
Authors: Jiahe Wang, Pufan Song, Yifei Li, Yalan Zhang, Tianbao Wu, Biao Zhou
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $1,930
Award: G2670325881
OpenAlex ID: W4416718525