Evidence map›Paper›PMID 42256084›Full record

ArticleNpj sustainable mobility and transport2026

Geographic determinants of goods vehicle speeding in British cities.

Long Chen, Ed Manley

Abstract read
In one paragraph

Article in Npj sustainable mobility and transport, 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

2 authors.

Long ChenSchool of Geography, University of Leeds, Leeds, UK.
Ed ManleySchool of Geography, University of Leeds, Leeds, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vehicular speeding remains a major challenge in urban and transportation planning, influenced by numerous underlying factors. Yet the influence of urban context in determining driving speed is less well understood. In this paper we undertake a large-scale, comprehensive analysis of speeding behaviour across 13 British cities, using trajectory data from goods vehicles across 3.2 million journeys. Unlike prior studies, we assess determinants of speeding across multiple scales-from engineering interventions to regional measures of road network configuration. The results indicate that road geometry and network connectivity have a casual association with speeding, similar to the effect of engineering interventions. These findings have two clear implications for urban and transportation planning. First, the credibility of speed reduction efforts can be enhanced through considering road network context, alongside engineering interventions. Second, analyses of local spatial behaviours should incorporate measures of urban context, reflecting the nature of human spatial perception.

Indexed as

Complex networksEngineeringEnvironmental social sciencesGeography

Identifiers

PMID42256084
PMCPMC13233316

What OpenQuestion 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 OpenQuestion graph.