Beyond greenery: exploring non-linear dynamics between socio-spatial integration and youth life satisfaction in community renewal

Urban renewal initiatives grapple with a tripartite crisis in the community: resource allocation disparities, youth exclusion in participatory planning, and socio-spatial service degradation, all depressing life satisfaction among young residents. Despite extensive research on urban renewal and socio-spatial integration, the non-linear dynamics between these factors and life satisfaction, particularly in youth-oriented community renewal, remain underexplored, hindering effective decision-making. Furthermore, limited attention has been given to the combination of subjective perceptions and objective spatial metrics in assessing socio-spatial factors. This necessitates a move beyond simplistic analyses of singular urban amenities like greenery to a more comprehensive understanding of integrated socio-spatial dynamics. This study bridges these gaps by employing Gradient Boosting Decision Trees (GBDT) and eXtreme Gradient Boosting (XGBoost) models for non-linear exploration and Ordinary Least Squares (OLS) regression for subjective perception and objective spatial comparison, to explore how social and spatial factors influence youth life satisfaction in Suzhou, China. The results indicate that both subjective and objective factors significantly influence youth life satisfaction. GBDT prioritized Social Interaction and Commuting Environment as paramount. Subjective-objective comparative results revealed consistent positive linear impacts from both perceived and objective environmental and facilities accessibility factors. Crucially, XGBoost results indicate that Educational facilities density’s contribution value sharply rises from ~-0.005 to ~0.02 as density increases from ~-0.5 to ~0.5, and Medical facilities density’s contribution value turns negative at higher densities. The findings not only advance socio-spatial integration theory but also contribute to the development of youth-oriented urban renewal strategies and governance mechanisms, aiming to enhance youth life satisfaction by holistically addressing the complex interplay of diverse socio-spatial elements, moving beyond a singular focus on green spaces to achieve balanced environmental quality and social equity.

Authors

Institutions

Publication Details

Journal
Humanities and Social Sciences Communications
Published
2026-01-30
DOI
https://doi.org/10.1057/s41599-026-06528-1
Citations
1
Primary Topic
Urban Green Space and Health
Type
article
Field-Weighted Citation Impact
31.09
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Beyond greenery: exploring non-linear dynamics between socio-spatial integration and youth life satisfaction in community renewal

Jinliu Chen, Pengcheng Li, Hong Ni, Huimin Song
1 citations
Humanities and Social Sciences Communications
Urban Green Space and Health
31.09
article

Beyond greenery: exploring non-linear dynamics between socio-spatial integration and youth life satisfaction in community renewal

Jinliu Chen, Pengcheng Li, Hong Ni, Huimin Song
article en
1 citations

Abstract

Urban renewal initiatives grapple with a tripartite crisis in the community: resource allocation disparities, youth exclusion in participatory planning, and socio-spatial service degradation, all depressing life satisfaction among young residents. Despite extensive research on urban renewal and socio-spatial integration, the non-linear dynamics between these factors and life satisfaction, particularly in youth-oriented community renewal, remain underexplored, hindering effective decision-making. Furthermore, limited attention has been given to the combination of subjective perceptions and objective spatial metrics in assessing socio-spatial factors. This necessitates a move beyond simplistic analyses of singular urban amenities like greenery to a more comprehensive understanding of integrated socio-spatial dynamics. This study bridges these gaps by employing Gradient Boosting Decision Trees (GBDT) and eXtreme Gradient Boosting (XGBoost) models for non-linear exploration and Ordinary Least Squares (OLS) regression for subjective perception and objective spatial comparison, to explore how social and spatial factors influence youth life satisfaction in Suzhou, China. The results indicate that both subjective and objective factors significantly influence youth life satisfaction. GBDT prioritized Social Interaction and Commuting Environment as paramount. Subjective-objective comparative results revealed consistent positive linear impacts from both perceived and objective environmental and facilities accessibility factors. Crucially, XGBoost results indicate that Educational facilities density’s contribution value sharply rises from ~-0.005 to ~0.02 as density increases from ~-0.5 to ~0.5, and Medical facilities density’s contribution value turns negative at higher densities. The findings not only advance socio-spatial integration theory but also contribute to the development of youth-oriented urban renewal strategies and governance mechanisms, aiming to enhance youth life satisfaction by holistically addressing the complex interplay of diverse socio-spatial elements, moving beyond a singular focus on green spaces to achieve balanced environmental quality and social equity.

Humanities and Social Sciences CommunicationsVol. 13(1)
Huaqiao University (CN), Suzhou University of Science and Technology (CN), Nanjing University of the Arts (CN), Suzhou City University, City University of Macau (MO)
Reduced inequalities
Openalex Percentile: Top 1%
Urban Green Space and Health
31.09
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.