Evidence map›Paper›PMID 39254809›Full record

ArticleEnvironmental science and pollution research international2024

Evaluating background and local contributions and identifying traffic-related pollutant hotspots: insights from Google Air View mobile monitoring in Dublin, Ireland.

Jiayao Chen, Anna Mölter, José Pablo Gómez-Barrón, David O'Connor, Francesco Pilla

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Environmental science and pollution research international, 2024. 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

5 authors.

Jiayao ChenSchool of Architecture, Planning and Environmental Policy, University College Dublin, Dublin, Ireland. jiayao.chen@ucd.ie.ORCID http://orcid.org/0000-0001-6749-8358
Anna MölterSchool of Architecture, Planning and Environmental Policy, University College Dublin, Dublin, Ireland.
José Pablo Gómez-BarrónSchool of Architecture, Planning and Environmental Policy, University College Dublin, Dublin, Ireland.
David O'ConnorSchool of Chemical Sciences, Dublin City University, Dublin, Ireland.
Francesco PillaSchool of Architecture, Planning and Environmental Policy, University College Dublin, Dublin, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mobile monitoring provides high-resolution observation on temporal and spatial scales compared to traditional fixed-site measurement. This study demonstrates the use of high spatio-temporal resolution of air pollution data collected by Google Air View vehicles to identify hotspots and assess compliance with WHO Air Quality Guidelines (AQGs) in Dublin City. The mobile monitoring was conducted during weekdays, typically from 7:00 to 19:00, between 6 May 2021 and 6 May 2022. One-second data were aggregated to 377,113 8 s road segments, and 8 s rolling medians were aggregated to hourly and daily levels for further analysis. We assessed the temporal variability of fine particulate matter (PM

Indexed as

Air PollutantsAir PollutionEnvironmental MonitoringNitrogen DioxideOzoneParticulate MatterVehicle EmissionsCarbon MonoxideIrelandAir PollutantsCarbon MonoxideNitrogen DioxideOzoneParticulate MatterVehicle EmissionsBackground contributionHotspot analysisMobile monitoringShort- and long-lived eventsSpatiotemporal variationTraffic-related pollutants

Identifiers

PMID39254809
PMCPMC11420298

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.