Optimizing the green-grey ratio: Nonlinear effects of urban form on PM2.5 in mid-sized cities

• Green-Grey Ratio defines air quality resilience in mid-sized cities. • Green infrastructure efficacy reveals a thermal tipping point at 19°C. • Intermediate Green-Grey ratios (0.8–1.2) minimize PM2.5 during heat. • Excessive vegetation density can trap pollution by reducing ventilation. • Mid-sized cities require heat-adaptive zoning, not static greening. Urban greening is widely promoted as a strategy to mitigate particulate air pollution and urban heat island, yet its effectiveness varies across climatic conditions. This study examines whether urban greening exhibits a temperature-dependent threshold in influencing PM₂.₅ concentrations in a mid-sized Midwestern city representative of temperate urban regions. Using high-frequency air-quality observations integrated with gridded urban morphology data, we analyze how the balance between green and built infrastructure, captured by a Green–Grey Ratio, interacts with temperature to shape PM₂.₅ variability. Results reveal a nonlinear relationship in which PM₂.₅ concentrations are lowest at intermediate green–grey balances, but only under warm conditions. Below approximately 19–20°C, PM₂.₅ variability is dominated by meteorological factors and combustion indicators, and urban greening shows limited influence. Above this threshold, vegetation and urban form increasingly modulate baseline PM₂.₅ levels and the likelihood of extreme pollution events. Random Forest analysis corroborates this transition, indicating higher relative importance of vegetation metrics during warm periods. The key novelty is demonstrating that greening benefits for PM₂.₅ are non-monotonic and temperature-contingent, with an intermediate Green–Grey “optimum” and a warm-regime tipping point that has direct implications for heat-resilient urban design. These findings suggest that optimizing the balance between green and built infrastructure requires accounting for climatic context and nonlinearity, with implications for urban design and air-quality management in mid-sized cities.

Authors

Institutions

Publication Details

Journal
Sustainable Cities and Society
Published
2026-03-08
DOI
https://doi.org/10.1016/j.scs.2026.107293
Primary Topic
Urban Heat Island Mitigation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimizing the green-grey ratio: Nonlinear effects of urban form on PM2.5 in mid-sized cities

Siavash Ghorbany, Ming Hu
Sustainable Cities and Society
Urban Heat Island Mitigation
article

Optimizing the green-grey ratio: Nonlinear effects of urban form on PM2.5 in mid-sized cities

Siavash Ghorbany, Ming Hu
article en

Abstract

• Green-Grey Ratio defines air quality resilience in mid-sized cities. • Green infrastructure efficacy reveals a thermal tipping point at 19°C. • Intermediate Green-Grey ratios (0.8–1.2) minimize PM2.5 during heat. • Excessive vegetation density can trap pollution by reducing ventilation. • Mid-sized cities require heat-adaptive zoning, not static greening. Urban greening is widely promoted as a strategy to mitigate particulate air pollution and urban heat island, yet its effectiveness varies across climatic conditions. This study examines whether urban greening exhibits a temperature-dependent threshold in influencing PM₂.₅ concentrations in a mid-sized Midwestern city representative of temperate urban regions. Using high-frequency air-quality observations integrated with gridded urban morphology data, we analyze how the balance between green and built infrastructure, captured by a Green–Grey Ratio, interacts with temperature to shape PM₂.₅ variability. Results reveal a nonlinear relationship in which PM₂.₅ concentrations are lowest at intermediate green–grey balances, but only under warm conditions. Below approximately 19–20°C, PM₂.₅ variability is dominated by meteorological factors and combustion indicators, and urban greening shows limited influence. Above this threshold, vegetation and urban form increasingly modulate baseline PM₂.₅ levels and the likelihood of extreme pollution events. Random Forest analysis corroborates this transition, indicating higher relative importance of vegetation metrics during warm periods. The key novelty is demonstrating that greening benefits for PM₂.₅ are non-monotonic and temperature-contingent, with an intermediate Green–Grey “optimum” and a warm-regime tipping point that has direct implications for heat-resilient urban design. These findings suggest that optimizing the balance between green and built infrastructure requires accounting for climatic context and nonlinearity, with implications for urban design and air-quality management in mid-sized cities.

Sustainable Cities and SocietyVol. 141
University of Notre Dame (US)
Sustainable cities and communities
Openalex Percentile: Top 40%
Urban Heat Island Mitigation
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.

Optimizing the green-grey ratio: Nonlinear effects of urban form on PM2.5 in mid-sized cities — Siavash Ghorbany, Ming Hu · Sustainable Cities and Society (2026) | TGRS Research Map | TGRS