Evidence map›Paper›PMID 41398292›Full record

ArticleThe international journal of behavioral nutrition and physical activity2025

Effectiveness and equity impacts of traffic restriction schemes outside schools: a controlled natural experimental study.

Richard Patterson, Emma Grace Carey, Kate Garrott, Yuru Huang, David Ogilvie, Sophie Hadfield-Hill, Andy Cope, Adrian Davis, Esther van Sluijs, Jenna Panter and 1 more

Abstract read
In one paragraph

Article in The international journal of behavioral nutrition and physical activity, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

11 authors.

Richard Patterson *MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK.
Emma Grace Carey *MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK.
Kate GarrottSchool of Health Sciences, University of Birmingham, Birmingham, UK.
Yuru HuangDepartment of Human Ecology, University of California, Davis, UK.
David OgilvieMRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK.
Sophie Hadfield-HillSchool of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, UK.
Andy CopeWalk Wheel Cycle Trust, Newcastle Upon Tyne, UK.
Adrian DavisEdinburgh Napier University, Edinburgh, UK.
Esther van SluijsMRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK.
Jenna PanterMRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK. jenna.panter@mrc-epid.cam.ac.uk.
CROSS study team

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundActive travel (such as walking, cycling and scooting) has a range of benefits for human and planetary health, whereas driving children to school contributes substantially to motor vehicle traffic at peak times. Local governments have collaborated with schools to implement traffic restriction schemes, in which motor vehicle access around schools is restricted at drop-off and pick-up times. We examined the impacts of these schemes on how children travel to school, and how these differed between socio-economic groups, in England and Scotland.

methodsIn this controlled before-and-after natural experimental study, we used data collected by primary schools on children’s mode of travel to school between 2012 and 2023. We matched each intervention school to two control schools based on area-level deprivation, urban–rural status, school size, baseline prevalence of active travel to school, and geographical region. We used fixed-effects regression models to conduct difference-in-difference analyses of the percentage of pupils using active modes of transport and private motor vehicles, adjusting for potential confounding factors. We examined absolute and relative differences and differential effects by stratifying analyses by geographical region, method of enforcement, area-level deprivation, and urban–rural status.

resultsWe used data from 498 schools (166 intervention and 332 control) at which on average 70% of children travelled to school by active modes at baseline, with no significant difference between intervention and selected control schools (p = 0.79). The proportion of pupils in intervention schools travelling by active modes increased by 5.9 absolute percentage points (95% CI: 2.5 to 9.1), and the proportion travelling by private motor vehicle decreased by 5.3 points (2.5 to 8.2), relative to control schools. The results for relative changes were similar, the patterns were consistent between jurisdictions and no differences were seen in other stratified analyses.

conclusionWe found that after primary schools implemented schemes, a greater proportion of children walked, cycled or scooted to school and a smaller proportion were driven. These findings suggest that wider roll-out of these schemes might contribute to promoting active travel in children, and perhaps, to improving health. Improving the availability, quality and consistency of routinely collected data on travel to school would facilitate future research into these schemes.

Indexed as

SchoolsTransportationBicyclingChildEnglandFemaleHumansMotor VehiclesRural PopulationScotlandSocioeconomic FactorsUrban PopulationWalkingActive commutingCyclingEvaluationSchool travelWalking

Identifiers

PMID41398292
PMCPMC12964863

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.