Global Land Use Regression Model for Nitrogen Dioxide Air Pollution

Land use regression as method to model air pollution. Previous results for Gothenburg/Sweden

In the past 20 years, considerable progress has been made to improve urban air quality in the EU. However, road traffic still contributes considerably to the deterioration of urban air quality to below standards, which requires a method to measure properly and model pollution levels resulting from road traffic. In order to visualize the geographical distribution of pollution concentration reali...

Evaluation of Land Use Regression Models for Nitrogen Dioxide and Benzene in Four US Cities

Spatial analysis studies have included the application of land use regression models (LURs) for health and air quality assessments. Recent LUR studies have collected nitrogen dioxide (NO(2)) and volatile organic compounds (VOCs) using passive samplers at urban air monitoring networks in El Paso and Dallas, TX, Detroit, MI, and Cleveland, OH to assess spatial variability and source influences. L...

Erratum: “Performance of Multi-City Land Use Regression Models for Nitrogen Dioxide and Fine Particles”

Performance of Multi-City Land Use Regression Models for Nitrogen Dioxide and Fine Particles

BACKGROUND Land use regression (LUR) models have been developed mostly to explain intraurban variations in air pollution based on often small local monitoring campaigns. Transferability of LUR models from city to city has been investigated, but little is known about the performance of models based on large numbers of monitoring sites covering a large area. OBJECTIVES We aimed to develop Europ...

A review of land-use regression models for characterizing intraurban air pollution exposure.

Epidemiologic studies of air pollution require accurate exposure assessments at unmonitored locations in order to minimize exposure misclassification. One approach gaining considerable interest is the land-use regression (LUR) model. Generally, the LUR model has been utilized to characterize air pollution exposure and health effects for individuals residing within urban areas. The objective of ...