Evidence map›Paper›PMID 40527971›Full record

ReviewJournal of exposure science & environmental epidemiology2026

Comprehensive review of intake fraction methods for assessing traffic-related air pollution exposure: insights, variations, and future directions.

Shuyan Meng, Ling Qi, Pengpeng Wu, Suzhen Cao, Kai Zhang, Zongshuang Wang, Xiaoli Duan

Abstract readReview
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In one paragraph

Review in Journal of exposure science & environmental epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Shuyan MengSchool of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China.
Ling QiSchool of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China.
Pengpeng WuSchool of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China.
Suzhen CaoSchool of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China.
Kai ZhangDepartment of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, Rensselaer, NY, USA.
Zongshuang WangChinese Research Academy of Environmental Sciences, Beijing, China.
Xiaoli DuanSchool of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China. jasmine@ustb.edu.cn.ORCID http://orcid.org/0000-0002-7424-9656

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTraffic-related air pollution (TRAP) poses significant risks to human health, particularly in urban areas with high traffic volumes. Intake fraction (iF) quantifies the relationship between emissions and exposure, defined as the ratio of the total inhalation increment of all exposed individuals in a target population to the emissions from specific pollution sources over a certain period.

objectiveThe overarching objective of this study is to unravel the underlying value and significance of the iF method in evaluating TRAP exposure risks, while also exploring its future development trajectories and potential avenues for application.

methodsWe conducted a comprehensive review of iF to assess TRAP exposure. We employed a search strategy to identify and analyze literature on iF methods related to TRAP exposure across academic databases covering the period from 2002 to 2024. After deduplication, title and abstract screening, and full-text review, we ultimately included 25 studies on iF related to TRAP.

resultsWe classified the measurement methods of iF into four types: simple estimation method, dispersion simulation method, numerical simulation method, and exposure monitoring method. We found orders of magnitude of differences in iF among studies. Population density, pollutant concentration, and breathing rate explain a significant portion of the variations. iF values of nitrogen oxides (NO

Indexed as

Air PollutantsAir PollutionEnvironmental ExposureEnvironmental MonitoringTraffic-Related PollutionVehicle EmissionsHumansRisk AssessmentAir PollutantsVehicle EmissionsExposure assessmentIntake fractionPollution control strategiesTraffic-related air pollution

Identifiers

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Registered trials

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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.