Integrated transportation and land use regression modelling for nitrogen dioxide mitigation

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...

Teaching Integrated Land Use–Transportation Planning

Alternative Futures for Transportation and Land Use – Integrated Models

Since completing a " Trend-Delphi " based regional forecast and transportation plan in 1996, Metro has developed an integrated transportation and land use model (Metroscope). We are presently using the model to explore several regional growth management options as well as produce a new regional forecast and transportation plan. Comparing our Metroscope results to our previous forecast reveals t...