Land use regression (LUR) models are widely used in epidemiological and environmental
studies to estimate humans' exposure to air pollution within urban areas. However, the early …

Background and objective The question of whether children's exposure to traffic-related air
pollution (TRAP) contributes to their development of asthma is unresolved. We conducted a …

Characterizing the spatiotemporal variability of the Urban Heat Island (UHI) and its drivers is
a key step in leveraging thermal comfort to create not only healthier cities, but also to …

Empirical spatial air pollution models have been applied extensively to assess exposure in
epidemiological studies with increasingly sophisticated and complex statistical algorithms …

Land Use Regression (LUR) models have been used increasingly for modeling small-scale
spatial variation in air pollution concentrations and estimating individual exposure for …

Background: Fine particulate matter (PM2. 5) air pollution exposure has been identified as a
global health threat. However, the types and sources of particles most responsible are not …

Studies on the health effects of long-term average exposure to outdoor air pollution have
played an important role in recent health impact assessments. Exposure assessment for …

Exposure assessment for elemental components of particulate matter (PM) using land use
modeling is a complex problem due to the high spatial and temporal variations in pollutant …

The impact of urban air pollution on the environments and human health has drawn
increasing concerns from researchers, policymakers and citizens. To reduce the negative …

This study analyzed the spatiotemporal evolution of urban land and airborne concentrations
of fine particulate matter (PM 2.5) in China through global autocorrelation, local spatial …