Enhancing urban green spaces: A resilience-based approach to plant dust retention in older residential neighborhoods

Abstract

This research focuses on developing a comprehensive understanding of plant dust retention resilience in older residential neighborhoods, emphasizing protection, recovery, and sustainability. Plant dust retention resilience encompasses the ability of plant combinations to respond to emergencies, cooperate with emergency service systems, adapt effectively, recover swiftly from disasters, and enhance future sustainability. Key quantitative indicators include the scale of green space and the structure of plant arrangements, with a focus on types and factors affecting plant arrangement structure. Data processing involves the selection of relevant indicators, the Delphi Method for indicator screening, and the Analytic Hierarchy Process for indicator weight determination. Data sources include environmental reports, government websites, measurements, and satellite images. The research establishes a comprehensive evaluation indicator system for plant dust retention resilience and a resilience capacity model for plants in old residential areas. The results suggest that the best plant configuration model for dust retention resilience capacity includes a mix of coniferous and deciduous trees and shrubs with a significant grass component.