Intelligent Optimization Pathway and Impact Mechanism of Age-Friendly Neighborhood Spatial Environment Driven by NSGA-II and XGBoost

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(3), P. 1449 - 1449

Published: Jan. 31, 2025

A comfortable outdoor environment, like its indoor counterpart, can significantly enhance the quality of life and improve physical mental health elderly populations. Urban spatial morphology is one key factors influencing environmental performance. To explore interactions between urban environment for elderly, this study utilized parametric tools to establish a performance-driven workflow based on “morphology generation–performance evaluation–morphology optimization” framework. Using survey data from 340 neighborhoods in Beijing, generation model was constructed. The following three optimization objectives were set: maximizing winter pedestrian Universal Thermal Climate Index (UTCI), minimizing summer UTCI, sunlight hours. Multi-objective conducted using genetic algorithm, generating “morphology–performance” dataset. Subsequently, XGBoost (eXtreme Gradient Boosting) SHAP (Shapley Additive Explanations) explainable machine learning algorithms applied uncover nonlinear relationships among variables. results indicate that optimizing enhances For contributing morphological indicators include Shape Coefficient (SC), Standard Deviation Building Area (SA), Volume (SV), while inhibitory average building height (AH), Average (AV), Mean (MA), floor–area ratio (FAR). AH, Volume–Area Ratio (VAR), FAR, SC porosity (PO). hours are not clearly identified model, but MA, FAR. This identifies performance provides early-stage design strategies age-friendly neighborhood layouts, reducing cost later-stage optimization.

Language: Английский

Heavy metals prediction system in groundwater using online sensor and machine learning for water management: the case of typical industrial park

Environmental Pollution, Journal Year: 2025, Volume and Issue: 374, P. 126270 - 126270

Published: April 22, 2025

Language: Английский