title: Evaluation of land use regression models for nitrogen dioxide and benzene in Four US cities.
abstract: 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. LURs were successfully developed to estimate pollutant concentrations throughout the study areas. Comparisons of development and predictive capabilities of LURs from these four cities are presented to address this issue of uniform application of LURs across study areas. Traffic and other urban variables were important predictors in the LURs although city-specific influences (such as border crossings) were also important. In addition, transferability of variables or LURs from one city to another may be problematic due to intercity differences and data availability or comparability. Thus, developing common predictors in future LURs may be difficult.
authors.affiliation: National Exposure Research Laboratory, Office of Research and Development, U.S. Environmental Protection Agency, Mail Code E205-03, Research Triangle Park, NC 27711, USA. mukerjee.shaibal@epa.gov
authors.forename: Shaibal
authors.initials: S
authors.lastname: Mukerjee
authors.forename: Luther
authors.initials: L
authors.lastname: Smith
authors.forename: Lucas
authors.initials: L
authors.lastname: Neas
authors.forename: Gary
authors.initials: G
authors.lastname: Norris
mesh_terms: D001554:Benzene / Q000032:analysis*; D002947:Cities; D004784:Environmental Monitoring; D008962:Models, Theoretical; D009585:Nitrogen Dioxide / Q000032:analysis*; D014481:United States
chemical_list: D001554:Benzene; D009585:Nitrogen Dioxide