Applied Acoustics, Journal Year: 2025, Volume and Issue: 239, P. 110795 - 110795
Published: May 21, 2025
Language: Английский
Applied Acoustics, Journal Year: 2025, Volume and Issue: 239, P. 110795 - 110795
Published: May 21, 2025
Language: Английский
Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106317 - 106317
Published: March 1, 2025
Language: Английский
Citations
1ISPRS International Journal of Geo-Information, Journal Year: 2025, Volume and Issue: 14(3), P. 131 - 131
Published: March 20, 2025
Rapid urbanization has accelerated the transformation of community dynamics, highlighting critical need to understand interplay between subjective perceptions and objective built environments in shaping life satisfaction for sustainable urban development. Existing studies predominantly focus on linear relationships isolated factors, neglecting spatial heterogeneity nonlinear which limits ability address localized challenges. This study addresses these gaps by utilizing multi-scale geographically weighted regression (MGWR) assess nonstationarity subject environment factors while employing gradient-boosting decision trees (GBDT) capture their incorporating eXtreme Gradient Boosting (XGBoost) improve predictive accuracy. Using geospatial data (POIs, social media data) survey responses Suzhou, China, findings reveal that (1) proximity business facilities (β = 0.41) educational resources 0.32) strongly correlate with satisfaction, landscape quality shows contradictory effects central 0.12) peripheral zones −0.09). (2) XGBoost further quantifies disparities: like property service (R2 0.64, MAPE 3.72) outperform metrics (e.g., dining facilities, R2 0.36), yet housing prices demonstrate greater stability (MAPE 3.11 vs. 6.89). (3) Nonlinear thresholds are identified household income green space coverage (>15%, saturation effects). These expose mismatches—residents prioritize services over citywide economic metrics, amenities healthcare accessibility (threshold 1 km) require recalibration. By bridging nonlinearity (XGBoost), this advances a dual-path framework adaptive governance, community-level prioritization high-impact quality), data-driven planning informed facility density). The results offer actionable pathways align smart development socio-spatial equity, emphasizing hyperlocal, perception-sensitive regeneration strategies.
Language: Английский
Citations
1Sustainability, Journal Year: 2025, Volume and Issue: 17(8), P. 3509 - 3509
Published: April 14, 2025
Community regeneration plays a pivotal role in creating human-centered spaces by transforming spatial configurations, enhancing multifunctional uses, and optimizing designs that promote sustainability vibrancy. However, the influence of such on vitality—particularly its heterogeneity nonlinear effects—remains insufficiently explored. This study presents comprehensive framework combines Difference-in-Differences (DID) method with multiple socio-spatial correlated factors, including place agglomeration, individual social perception, offering systematic assessment urban vitality evaluating impact interventions. By leveraging street-level imagery to capture environmental changes pre- post-regeneration, this research applies Gradient Boosting Decision Tree Regression (GBDT) uncover built environment dynamics affecting vitality. Empirical analysis from six districts Suzhou reveals following: (1) A pronounced increase is seen core areas, while peripheral exhibit more moderate improvements, highlighting spatially uneven outcomes. (2) In historically significant areas as Wuzhong, limited gains underscore complex interplay among historical preservation, development trajectories. (3) Furthermore, transformations, variations sky visibility, nonprivate vehicles, architectural elements, introduction glass-wall structures, impacts distinct threshold effects. advances discourse sustainable proposing context-sensitive, data-driven tools reconcile heritage conservation contemporary goals. It underscores need for integrated, adaptive strategies align local conditions, contexts, trajectories, informing policies green, inclusive, digitally transformed cities.
Language: Английский
Citations
0Buildings, Journal Year: 2025, Volume and Issue: 15(10), P. 1740 - 1740
Published: May 20, 2025
Urban regeneration is pivotal to sustainable development, requiring innovative strategies that align social dynamics with spatial configurations. Traditional paradigms increasingly fail tackle systemic challenges—neighborhood alienation, fragmentation, and resource inequality—due their inability integrate human-centered governance. This study addresses these shortcomings a novel multidimensional framework merges perception (life satisfaction) analytics quality (GIS-based) assessment. At its core, we utilize geospatial machine learning models, deploying an ensemble of Gradient Boosted Decision Trees (GBDT), Random Forest (RF), multiscale geographically weighted regression (MGWR) decode nonlinear socio-spatial interactions within Suzhou’s community environmental matrix. Our findings reveal critical intersections where residential density thresholds interact commercial accessibility patterns transport network Notably, highlight the scale-dependent influence educational proximity healthcare distribution on satisfaction, challenging conventional planning doctrines rely static buffer-zone models. Through rigorous econometric modeling, this research uncovers three transformative insights: (1) environment exerts dominant life accounting for 52.61% variance. Air emerges as determinant, while factors such institutions, facilities, public landmarks exhibit effects across scales. (2) Housing price growth in Suzhou displays significant clustering, Moran’s I 0.130. Green space coverage positively correlates appreciation (β = 21.6919 ***), whereas floor area ratio negative impact −4.1197 highlighting trade-offs between property value. (3) The MGWR model outperforms OLS explaining housing dynamics, achieving R2 0.5564 AICc 11,601.1674. suggests captures 55.64% pre- post-pandemic variations better reflecting heterogeneity. By merging community-expressed sentiment mapping morphometric urban analysis, interdisciplinary pioneers protocol integrated transitions—one algorithmic urbanism meets human-scale needs, not technological determinism. These recalibrate paradigms, demonstrating data-driven integration theoretical aspiration but achievable governance reality.
Language: Английский
Citations
0Applied Acoustics, Journal Year: 2025, Volume and Issue: 239, P. 110795 - 110795
Published: May 21, 2025
Language: Английский
Citations
0