ArticleEnvironmental science & technology2015
Transferability and generalizability of regression models of ultrafine particles in urban neighborhoods in the Boston area.
Article in Environmental science & technology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
35 citing papers in PubMed.
- Mobile Monitoring and Land Use Regression Modeling of Ultrafine Particle Spatial Distribution in Beijing, China, during August 2022-July 2023.Environmental science & technology · 2026Article
- SatHealth: A Multimodal Public Health Dataset with Satellite-based Environmental Factors.KDD : proceedings. International Conference on Knowledge Discovery & Data Mining · 2025Article
- Investigating the Consequences of Measurement Error of Gradually More Sophisticated Long-Term Personal Exposure Models in Assessing Health Effects: The London Study (MELONS).Research report (Health Effects Institute) · 2025Article
- Hyperlocal Air Pollution Mapping: A Scalable Transfer Learning LUR Approach for Mobile Monitoring.Environmental science & technology · 2024Article
- Article
- Scalable Multipollutant Exposure Assessment Using Routine Mobile Monitoring Platforms.Research report (Health Effects Institute) · 2024Article
- Design and evaluation of short-term monitoring campaigns for long-term air pollution exposure assessment.Journal of exposure science & environmental epidemiology · 2023Article
- Relationship between traffic-related air pollution and inflammation biomarkers using structural equation modeling.The Science of the total environment · 2023Article
- Impact of Mobile Monitoring Network Design on Air Pollution Exposure Assessment Models.Environmental science & technology · 2023Article
- 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
- A new exposure metric for the cumulative effect of short-term exposure peaks of traffic-related ultrafine particles.Journal of exposure science & environmental epidemiology · 2022Article
- An exploratory analysis of sociodemographic characteristics with ultrafine particle concentrations in Boston, MA.PloS one · 2022Article
- CBPR Partnerships and Near-Roadway Pollution: A Promising Strategy to Influence the Translation of Research into Practice.Environments (Basel, Switzerland) · 2020Article
- Ultrafine Particle Number Concentration Model for Estimating Retrospective and Prospective Long-Term Ambient Exposures in Urban Neighborhoods.Environmental science & technology · 2020Article
- Moving beyond Fine Particle Mass: High-Spatial Resolution Exposure to Source-Resolved Atmospheric Particle Number and Chemical Mixing State.Environmental health perspectives · 2020Article
- Morbidity Forecast in Cities: A Study of Urban Air Pollution and Respiratory Diseases in the Metropolitan Region of Curitiba, Brazil.Journal of urban health : bulletin of the New York Academy of Medicine · 2019Article
- Metabolomic assessment of exposure to near-highway ultrafine particles.Journal of exposure science & environmental epidemiology · 2019Article
- On the Need for Better Exposure Assessment for Air Pollution with High Spatial and Temporal Variation.International journal of environmental research and public health · 2019Article
- Visualizing Air Pollution: Communication of Environmental Health Information in a Chinese Immigrant Community.Journal of health communication · 2019Article
- A picture tells a thousand…exposures: Opportunities and challenges of deep learning image analyses in exposure science and environmental epidemiology.Environment international · 2019Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Land use regression (LUR) models have been used to assess air pollutant exposure, but limited evidence exists on whether location-specific LUR models are applicable to other locations (transferability) or general models are applicable to smaller areas (generalizability). We tested transferability and generalizability of spatial-temporal LUR models of hourly particle number concentration (PNC) for Boston-area (MA, U.S.A.) urban neighborhoods near Interstate 93. Four neighborhood-specific regression models and one Boston-area model were developed from mobile monitoring measurements (34-46 days/neighborhood over one year each). Transferability was tested by applying each neighborhood-specific model to the other neighborhoods; generalizability was tested by applying the Boston-area model to each neighborhood. Both the transferability and generalizability of models were tested with and without neighborhood-specific calibration. Important PNC predictors (adjusted-R(2) = 0.24-0.43) included wind speed and direction, temperature, highway traffic volume, and distance from the highway edge. Direct model transferability was poor (R(2) < 0.17). Locally-calibrated transferred models (R(2) = 0.19-0.40) and the Boston-area model (adjusted-R(2) = 0.26, range: 0.13-0.30) performed similarly to neighborhood-specific models; however, some coefficients of locally calibrated transferred models were uninterpretable. Our results show that transferability of neighborhood-specific LUR models of hourly PNC was limited, but that a general model performed acceptably in multiple areas when calibrated with local data.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.