ArticleEnvironmental science & technology2017
Land Use Regression Models for Ultrafine Particles in Six European Areas.
Article in Environmental science & technology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.
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Who cites it
31 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Urban Exposome during Pregnancy and Its Socioeconomic Determinants.Environmental health perspectives · 2018Pooled it
- Mobile Monitoring and Land Use Regression Modeling of Ultrafine Particle Spatial Distribution in Beijing, China, during August 2022-July 2023.Environmental science & technology · 2026Article
- Influence of on-road mobile monitoring design on ultrafine particle exposure models and cognitive health inferences.Journal of exposure science & environmental epidemiology · 2026Article
- Global high-resolution ultrafine particle number concentrations through data fusion with machine learning.Scientific data · 2025Article
- Optimizing Air Pollution Exposure Assessment with Application to Cognitive Function.Research report (Health Effects Institute) · 2025Article
- Ultrafine particles and late-life cognitive function: Influence of stationary mobile monitoring design on health inferences.Environmental pollution (Barking, Essex : 1987) · 2025Article
- Comparison of Long-Term Air Pollution Exposure from Mobile and Routine Monitoring, Low-Cost Sensors, and Dispersion Models.Research report (Health Effects Institute) · 2025Article
- Machine learning-enhanced high-resolution exposure assessment of ultrafine particles.Nature communications · 2025Article
- Airborne Nanoparticle Concentrations Are Associated with Increased Mortality Risk in Canada's Two Largest Cities.American journal of respiratory and critical care medicine · 2024Article
- Long-Term Exposure to Outdoor Ultrafine Particles and Black Carbon and Effects on Mortality in Montreal and Toronto, Canada.Research report (Health Effects Institute) · 2024Article
- Validity of Mobility-Based Exposure Assessment of Air Pollution: A Comparative Analysis with Home-Based Exposure Assessment.Environmental science & technology · 2024Article
- Inequalities in urban air pollution in sub-Saharan Africa: an empirical modeling of ambient NO and NOEnvironmental research letters : ERL [Web site] · 2024Article
- Traffic-related air pollution, road traffic noise, and Parkinson's disease: Evaluations in two Dutch cohort studies.Environmental epidemiology (Philadelphia, Pa.) · 2023Article
- Design and evaluation of short-term monitoring campaigns for long-term air pollution exposure assessment.Journal of exposure science & environmental epidemiology · 2023Article
- Exposure assessment for air pollution epidemiology: A scoping review of emerging monitoring platforms and designs.Environmental research · 2023Article
- Impact of Mobile Monitoring Network Design on Air Pollution Exposure Assessment Models.Environmental science & technology · 2023Article
- A Knowledge Transfer Approach to Map Long-Term Concentrations of Hyperlocal Air Pollution from Short-Term Mobile Measurements.Environmental science & technology · 2022Article
- Characterization of Annual Average Traffic-Related Air Pollution Concentrations in the Greater Seattle Area from a Year-Long Mobile Monitoring Campaign.Environmental science & technology · 2022Article
- Quantile regression to examine the association of air pollution with subclinical atherosclerosis in an adolescent population.Environment international · 2022Article
- Long-Term Exposure to Ultrafine Particles and Particulate Matter Constituents and the Risk of Amyotrophic Lateral Sclerosis.Environmental health perspectives · 2021Article
Corrections and comments
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Authors and funding
27 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Long-term ultrafine particle (UFP) exposure estimates at a fine spatial scale are needed for epidemiological studies. Land use regression (LUR) models were developed and evaluated for six European areas based on repeated 30 min monitoring following standardized protocols. In each area; Basel (Switzerland), Heraklion (Greece), Amsterdam, Maastricht, and Utrecht ("The Netherlands"), Norwich (United Kingdom), Sabadell (Spain), and Turin (Italy), 160-240 sites were monitored to develop LUR models by supervised stepwise selection of GIS predictors. For each area and all areas combined, 10 models were developed in stratified random selections of 90% of sites. UFP prediction robustness was evaluated with the intraclass correlation coefficient (ICC) at 31-50 external sites per area. Models from Basel and The Netherlands were validated against repeated 24 h outdoor measurements. Structure and model R
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