ArticleInternational journal of environmental research and public health2019
Exposures to Air Pollution and Noise from Multi-Modal Commuting in a Chinese City.
Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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.
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.
Who cites it
12 citing papers in PubMed.
- Trial
- Using low-cost sensors and GPS to assess spatiotemporal variations in personal exposure to PMEnvironmental research · 2025Article
- Crowdsourced cycling data applications to estimate noise pollution exposure during urban cycling.Heliyon · 2024Article
- Exploring the Relationship Between Education, Living Environment, and Anxiety/Depression Among Stable Patients: Insights from the COPD-AD China Registry Study.International journal of chronic obstructive pulmonary disease · 2024Article
- Knowledge, attitude, and practice toward family-based treatment among parents of children with leukemia.Frontiers in public health · 2024Article
- Cyclists' exposure to air pollution, noise, and greenery: a population-level spatial analysis approach.International journal of health geographics · 2023Article
- Informing about the invisible: communicating en route air pollution and noise exposure to cyclists and pedestrians using focus groups.European transport research review · 2022Article
- Spatiotemporal Evolution and Spatial Network Analysis of the Urban Ecological Carrying Capacity in the Yellow River Basin.International journal of environmental research and public health · 2021Article
- Co-Exposure to Multiple Pollutants and Its Cardiovascular Effects in a Subway System - Beijing Municipality, China, 2017.China CDC weekly · 2021Article
- One Metre Plus (1M+): A Multifunctional Open-Source Sensor for Bicycles Based on Raspberry Pi.Sensors (Basel, Switzerland) · 2021Article
- Seasonal Impacts of Particulate Matter Levels on Bike Sharing in Seoul, South Korea.International journal of environmental research and public health · 2020Article
- Environmental and Health Effects of Ventilation in Subway Stations: A Literature Review.International journal of environmental research and public health · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundModern urban travel includes mixtures of transit options, which potentially impact individual pollution exposures and health. This study aims to investigate variations in traffic-related air pollution and noise levels experienced in traffic in Chengdu, China.
methodsReal-time PM
resultsAir pollutants had much higher concentrations in winter. Urban Core had the highest PM
conclusionPersonal exposure to air pollution and noise vary by season, neighborhood, and transportation modes. Exposure models accounting for environmental, meteorological, and behavioral factors, and duration of mixed mode commuting may be useful for health studies of urban traffic microenvironments.
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Identifiers
What OpenQuestion holds
Registered trials
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.