Evidence map›Paper›PMID 41816646›Full record

ArticleHealth science reports2026

Mapping Slow Mobility Users' Unhealthy Exposure to Air Pollution in London.

Yijing Li, Zhen Zhu, Sijie Tan, Rongsheng Zheng

Abstract read
In one paragraph

Article in Health science reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Yijing LiDepartment of Informatics King's College London London UK.ORCID https://orcid.org/0000-0002-9831-0298
Zhen ZhuKent Business School University of Kent Kent UK.ORCID https://orcid.org/0000-0003-0258-1454
Sijie TanDepartment of Informatics King's College London London UK.ORCID https://orcid.org/0009-0009-6782-2555
Rongsheng ZhengDepartment of Informatics King's College London London UK.ORCID https://orcid.org/0009-0006-9025-1963

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Slow mobility, characterized by modes of transportation such as walking and cycling, is often promoted for its health benefits and environmental friendliness. However, users of slow mobility face prolonged and direct exposure to their immediate environment, potentially increasing their susceptibility to air pollution compared to those using faster transportation modes. This study aims to quantify and spatially analyze the air pollution exposure associated with slow mobility in urban areas, using London as a case study, to inform healthier and more sustainable planning practices. Methods: This paper proposes a data-driven framework to assess the relationship between slow mobility and air pollution exposure as a health risk, with a focus on London as a case study. The study overlays London's air pollution data of PM Results: The findings indicate that Central London exhibits both high accessibility and high air pollution exposure. Moreover, NO Conclusion: This paper provides empirical evidence supporting a comprehensive and people-centered urban development philosophy, which requires extensive cooperation and joint efforts among stakeholders to achieve strategic goals for London by 2030.

Indexed as

15‐min cityair pollutionpublic healthslow mobilityurban planning

Identifiers

PMID41816646
PMCPMC12971388

What OpenQuestion holds

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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.