From Space to Well-Being: Understanding the Restorative Potential of Urban Riverfront Landscapes

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Authors: Sulan Wu, Qingqing Li, YuChen Wu, Zunling Zhu
Cited by: 2
References: 49

Abstract

Urban riverfronts, as integral components of the urban built environment, serve as essential blue–green infrastructure that offers restorative opportunities to residents in high-density areas. However, the mechanisms through which specific spatial qualities influence well-being outcomes remain underexplored. Guided by Attention Restoration Theory (ART) and Stress Recovery Theory (SRT), this study investigates the associations among spatial perception, perceived restorativeness, environmental sensitivity, and subjective well-being along the Yangtze Riverfront in Nanjing, China. A cross-sectional survey (N = 551) was conducted across six riverfront segments, using a 96-item questionnaire to assess five spatial perception dimensions, four restorativeness dimensions, and four well-being dimensions. Structural equation modeling (SEM) results indicate that spatial perception is positively associated with perceived restorativeness (β = 0.320, p < 0.001), with aesthetic perception demonstrating the strongest relative contribution (β = 0.265). Perceived restorativeness, in turn, significantly contributes to well-being (β = 0.540, p < 0.001), partially mediating the relationship between spatial perception and well-being (indirect effect (β = 0.173; 41.69% of total effect). Notably, environmental sensitivity moderated the spatial–restorative link (β = 0.799, p < 0.001), with restorative benefits being significantly amplified for individuals with higher sensitivity. These findings highlight aesthetics, accessibility, and perceived safety as priority targets for urban design. This study offers actionable insights for optimizing riverfront landscapes as vital urban health resources.

Fields of Study & Subjects

Urban Green Space and Health Place Attachment and Urban Studies Noise Effects and Management

Publication details

Journal / source
Buildings
Publisher
MDPI AG
Volume
16
Issue
6
Pages
1235–1235
Publication date
20 March 2026
Language
EN