Micro-Nature” Landscapes in High-Density Cities: Design of Community Healing Spaces Based on Spatio-Temporal Compression Theory
Year: 2025
Type: article
Abstract: As populations move to urban environments and cities become more and more dense,traditional forms of green infrastructure can be insufficient to meet spatial, psychological and ecological requirements.This study explores the significance of 'micro-nature' landscapes-small landscape elements which perform as restorative community healing environments in high density urban environments.The thesis is grounded in the theory of Spatio-Temporal Compression and investigates how compact interventions can counteract the accelerated, fragmented rhythms of urban life.The study uses a mix of methods that includes spatial analysis, ecological audits, biometric data and participatory co design workshops in three case sites in Hong Kong, Tokyo and Singapore.Findings include improvements of high magnitude in biodiversity, regulation of microclimate, emotional positivity and perceived temporal dilation.In both cases though, the sites resulted in users reporting lower stress levels and feeling calmer, even for brief interactions.Furthermore, the participatory design process significantly improved the community ownership and social cohesion.This study presents a scalable, inclusive and ecologically effective model of embedding healing experiences within the everyday urban fabric by aligning micro-nature design with lived urban temporalities.The research adds to theoretical and practical knowledge of how urban livability and resilience can be enhanced with the use of even rudimentary nature in an urban environment.
Source: ZKG international
DOI: 10.63386/619207
Authors: Shaobo Ning, Di Wu, Yujuan Liu, Pengfei Yan, Zhemin Ge
Institutions: Xi'an Fanyi University, Xi'an Eurasia University
Language: English
Topic: Urban Green Space and Health
Subfield: Health, Toxicology and Mutagenesis
Field: Environmental Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4411909117
