The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.
Near-Roadway Air Quality: Synthesizing the Findings from Real-World Data
Abstract
Despite increasing regulatory attention and literature linking roadside air pollution to health outcomes, studies on near roadway air quality have not yet been well synthesized. We employ data collected from 1978 as reported in 41 roadside monitoring studies, encompassing more than 700 air pollutant concentration measurements, published as of June 2008. Two types of normalization, background and edge-of-road, were applied to the observed concentrations. Local regression models were specified to the concentration-distance relationship and analysis of variance was used to determine the statistical significance of trends. Using an edge-of-road normalization, almost all pollutants decay to background by 115-570 m from the edge of road; using the more standard background normalization, almost all pollutants decay to background by 160-570 m from the edge of road. Differences between the normalization methods arose due to the likely bias inherent in background normalization, since some reported background values tend to underpredict (be lower than) actual background. Changes in pollutant concentrations with increasing distance from the road fell into one of three groups: at least a 50% decrease in peak/edge-of-road concentration by 150 m, followed by consistent but gradual decay toward background (e.g., carbon monoxide, some ultrafine particulate matter number concentrations); consistent decay or change over the entire distance range (e.g., benzene, nitrogen dioxide); or no trend with distance (e.g., particulate matter mass concentrations).
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting
Cleveland, W. S., & Devlin, S. J. (1988) · Journal of the American Statistical Association · doi:10.1080/01621459.1988.10478639 · Cited by 5,742
Modern Applied Statistics with S Fourth edition
Venables, W. N., & Ripley, B. D. (2002) · Cited by 2,538
Research design and statistical analysis
(2011) · Choice Reviews Online · doi:10.5860/choice.48-4538 · Cited by 1,202
Tropospheric Air Pollution: Ozone, Airborne Toxics, Polycyclic Aromatic Hydrocarbons, and Particles
Finlayson-Pitts, B. J., & Pitts, J. N. (1997) · Science · doi:10.1126/science.276.5315.1045 · Cited by 1,201
Concentration and Size Distribution of Ultrafine Particles Near a Major Highway
Zhu, Y., Hinds, W. C., Kim, S., & Sioutas, C. (2002) · Journal of the Air & Waste Management Association · doi:10.1080/10473289.2002.10470842 · Cited by 1,001
Lattice: Multivariate Data Visualization with R
Sarkar, D. (2008) · doi:10.1007/978-0-387-75969-2 · Cited by 991
Study of ultrafine particles near a major highway with heavy-duty diesel traffic
Zhu, Y., Hinds, W. C., Kim, S., Shen, S., & Sioutas, C. (2002) · Atmospheric Environment · doi:10.1016/s1352-2310(02)00354-0 · Cited by 919
Exposure to Traffic and the Onset of Myocardial Infarction
Peters, A., von Klot, S., Heier, M., Trentinaglia, I., Hörmann, A., Wichmann, H. E., & Löwel, H. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa040203 · Cited by 915
Air Pollution from Truck Traffic and Lung Function in Children Living near Motorways
Brunekreef, B., Janssen, N. A. H., de Hartog, J., Harssema, H., Knape, M., & van Vliet, P. (1997) · Epidemiology · doi:10.1097/00001648-199705000-00012 · Cited by 643
Traffic, Susceptibility, and Childhood Asthma
McConnell, R., Berhane, K., Yao, L., Jerrett, M., Lurmann, F., Gilliland, F., Künzli, N., Gauderman, J., Avol, E., Thomas, D., et al. (2006) · Environmental Health Perspectives · doi:10.1289/ehp.8594 · Cited by 635
Cited by
The health effects of ultrafine particles
Schraufnagel, D. E. (2020) · Experimental & Molecular Medicine · doi:10.1038/s12276-020-0403-3 · Cited by 1,044
High-Resolution Air Pollution Mapping with Google Street View Cars: Exploiting Big Data
Apte, J. S., Messier, K. P., Gani, S., Brauer, M., Kirchstetter, T. W., Lunden, M. M., Marshall, J. D., Portier, C. J., Vermeulen, R. C. H., & Hamburg, S. P. (2017) · Environmental Science & Technology · doi:10.1021/acs.est.7b00891 · Cited by 799
Jiao, W., Hagler, G., Williams, R., Sharpe, R., Brown, R., Garver, D., Judge, R., Caudill, M., Rickard, J., Davis, M., et al. (2016) · Atmospheric Measurement Techniques · doi:10.5194/amt-9-5281-2016 · Cited by 484
Ohlwein, S., Kappeler, R., Kutlar Joss, M., Künzli, N., & Hoffmann, B. (2019) · International Journal of Public Health · doi:10.1007/s00038-019-01202-7 · Cited by 473
Historical Redlining Is Associated with Present-Day Air Pollution Disparities in U.S. Cities
Lane, H. M., Morello-Frosch, R., Marshall, J. D., & Apte, J. S. (2022) · Environmental Science & Technology Letters · doi:10.1021/acs.estlett.1c01012 · Cited by 451
Achakulwisut, P., Brauer, M., Hystad, P., & Anenberg, S. C. (2019) · The Lancet Planetary Health · doi:10.1016/s2542-5196(19)30046-4 · Cited by 438
Power, M. C., Kioumourtzoglou, M.-A., Hart, J. E., Okereke, O. I., Laden, F., & Weisskopf, M. G. (2015) · BMJ · doi:10.1136/bmj.h1111 · Cited by 377
Anenberg, S. C., Henze, D. K., Tinney, V., Kinney, P. L., Raich, W., Fann, N., Malley, C. S., Roman, H., Lamsal, L., Duncan, B., et al. (2018) · Environmental Health Perspectives · doi:10.1289/ehp3766 · Cited by 337
From Transportation Equity to Transportation Justice: Within, Through, and Beyond the State
Karner, A., London, J., Rowangould, D., & Manaugh, K. (2020) · Journal of Planning Literature · doi:10.1177/0885412220927691 · Cited by 259
Self-citationGruzieva, O., Xu, C.-J., Breton, C. V., Annesi-Maesano, I., Antó, J. M., Auffray, C., Ballereau, S., Bellander, T., Bousquet, J., Bustamante, M., et al. (2017) · Environmental Health Perspectives · doi:10.1289/ehp36 · Cited by 227
Chambliss, S. E., Pinon, C. P. R., Messier, K. P., LaFranchi, B., Upperman, C. R., Lunden, M. M., Robinson, A. L., Marshall, J. D., & Apte, J. S. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2109249118 · Cited by 156
Fleisch, A. F., Rifas-Shiman, S. L., Koutrakis, P., Schwartz, J. D., Kloog, I., Melly, S., Coull, B. A., Zanobetti, A., Gillman, M. W., Gold, D. R., et al. (2015) · Epidemiology · doi:10.1097/ede.0000000000000203 · Cited by 140
Bowatte, G., Erbas, B., Lodge, C. J., Knibbs, L. D., Gurrin, L. C., Marks, G. B., Thomas, P. S., Johns, D. P., Giles, G. G., Hui, J., et al. (2017) · European Respiratory Journal · doi:10.1183/13993003.02357-2016 · Cited by 111
Brokamp, C., LeMasters, G. K., & Ryan, P. H. (2016) · Journal of Exposure Science & Environmental Epidemiology · doi:10.1038/jes.2016.10 · Cited by 107
Prenatal and early life exposure to traffic pollution and cardiometabolic health in childhood
Fleisch, A. F., Luttmann‐Gibson, H., Perng, W., Rifas‐Shiman, S. L., Coull, B. A., Kloog, I., Koutrakis, P., Schwartz, J. D., Zanobetti, A., Mantzoros, C. S., et al. (2017) · Pediatric Obesity · doi:10.1111/ijpo.12106 · Cited by 84
Air pollution exposure and risk of spontaneous abortion in the Nurses’ Health Study II
Gaskins, A. J., Hart, J. E., Chavarro, J. E., Missmer, S. A., Rich-Edwards, J. W., Laden, F., & Mahalingaiah, S. (2019) · Human Reproduction · doi:10.1093/humrep/dez111 · Cited by 70
Prenatal Exposure to Traffic Pollution and Childhood Body Mass Index Trajectory
Fleisch, A. F., Aris, I. M., Rifas-Shiman, S. L., Coull, B. A., Luttmann-Gibson, H., Koutrakis, P., Schwartz, J. D., Kloog, I., Gold, D. R., & Oken, E. (2019) · Frontiers in Endocrinology · doi:10.3389/fendo.2018.00771 · Cited by 50
Metadata
- Authors
- Karner, A. A., Eisinger, D. S., & Niemeier, D. A.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2010-06-18
- Volume
- 44
- Issue
- 14
- Pages
- 5334-5344
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W2078732381
- Cited by
- 767
- References
- 64
- FWCI
- 12.87
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.