Evidence map›Paper›PMID 32253257›Full record

ArticleInjury prevention : journal of the International Society for Child and Adolescent Injury Prevention2021

How does mode of travel affect risks posed to other road users? An analysis of English road fatality data, incorporating gender and road type.

Rachel Aldred, Rob Johnson, Christopher Jackson, James Woodcock

Open access · hybridAbstract read
In one paragraph

Article in Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.2field-weighted citation impact, top 9% of its field
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

6 citing papers in PubMed, 27 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Rachel AldredActive Travel Academy; School of Architecture and Cities, University of Westminster, London, UK r.aldred@westminster.ac.uk.ORCID 0000-0001-7413-7251
Rob JohnsonMRC Biostatistics Unit/Centre for Diet and Activity Research, University of Cambridge, Cambridge, UK.
Christopher JacksonMRC Biostatistics Unit, University of Cambridge, Cambridge, UK.
James WoodcockCentre for Diet and Activity Research, Unviersity of Cambridge, Cambridge, UK.
University of Cambridge · GBUniversity of Westminster · GB

Funding

Medical Research Council MC_UU_00002/11Medical Research Council MR/K023187/1Medical Research Council MR/P024408/1Medical Research Council MR/P02663X/1Wellcome Trust
6 · The paper itself

Abstract

backgroundMost analysis of road injuries examines the risk experienced by people using different modes of transport, for instance, pedestrian fatalities per-head or per-km. A small but growing field analyses the impact that the use of different transport modes has on other road users, for instance, injuries to others per-km driven.

methodsThis paper moves the analysis of risk posed to others forward by comparing six different vehicular modes, separating road types (major vs minor roads in urban vs rural settings). The comparison of risk posed by men and women for all these modes is also novel.

resultsPer-vehicle kilometre, buses and lorries pose much the highest risk to others, while cycles pose the lowest. Motorcycles pose a substantially higher per-km risk to others than cars. The fatality risk posed by cars or vans to ORUs per km is higher in rural areas. Risk posed is generally higher on major roads, although not in the case of lorries, suggesting a link to higher speeds. Men pose higher per-km risk to others than women for all modes except buses, as well as being over-represented among users of the most dangerous vehicles.

conclusionsFuture research should examine more settings, adjust for spatial and temporal confounders, or examine how infrastructure or route characteristics affect risk posed to others. Although for most victims the other vehicle involved is a car, results suggest policy-makers should also seek to reduce disproportionate risks posed by the more dangerous vehicles, for instance, by discouraging motorcycling. Finally, given higher risk posed to others by men across five of six modes analysed, policy-makers should consider how to reduce persistent large gender imbalances in jobs involving driving.

Indexed as

Automobile DrivingPedestriansAccidents, TrafficFemaleHumansMaleMotorcyclesMotor Vehiclesbicyclecross sectional studydrivermotor vehicle occupantpassengerpedestrian

Identifiers

PMID32253257
PMCPMC7848050
OpenAlexW3014352553

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.