Evidence map›Paper›PMID 39767530›Full record

ArticleInternational journal of environmental research and public health2024

Domestic Use of E-Cargo Bikes and Other E-Micromobility: Protocol for a Multi-Centre, Mixed Methods Study.

Ian Philips, Labib Azzouz, Alice de Séjournet, Jillian Anable, Frauke Behrendt, Sally Cairns, Noel Cass, Mary Darking, Clara Glachant, Eva Heinen and 3 more

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2024. 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

13 authors.

Ian PhilipsInstitute for Transport Studies, University of Leeds, University Road, Leeds LS2 9JT, UK.ORCID 0000-0003-1938-7842
Labib AzzouzEnvironmental Change Institute, University of Oxford, South Parks Road, Oxford OX1 3QY, UK.
Alice de SéjournetInstitute for Transport Studies, University of Leeds, University Road, Leeds LS2 9JT, UK.ORCID 0000-0001-8396-8065
Jillian AnableInstitute for Transport Studies, University of Leeds, University Road, Leeds LS2 9JT, UK.ORCID 0000-0002-4259-1641
Frauke BehrendtIndustrial Engineering and Innovation Sciences, TU Eindhoven, 5612 AE Eindhoven, The Netherlands.ORCID 0000-0003-1020-0770
Sally CairnsSchool of Humanities and Social Science, University of Brighton, Mithras House, Moulsecoomb BN2 4AT, UK.
Noel CassInstitute for Transport Studies, University of Leeds, University Road, Leeds LS2 9JT, UK.ORCID 0000-0003-2652-1931
Mary DarkingSchool of Humanities and Social Science, University of Brighton, Mithras House, Moulsecoomb BN2 4AT, UK.
Clara GlachantIndustrial Engineering and Innovation Sciences, TU Eindhoven, 5612 AE Eindhoven, The Netherlands.ORCID 0009-0007-9251-7443
Eva HeinenETH Zürich, Verkehrs- und Mobilitätsplanung, HIL F 31.3, Stefano-Franscini-Platz 5, 8093 Zürich, Switzerland.
Nick MarksSchool of Humanities and Social Science, University of Brighton, Mithras House, Moulsecoomb BN2 4AT, UK.ORCID 0000-0001-7721-3897
Theresa NelsonInstitute for Transport Studies, University of Leeds, University Road, Leeds LS2 9JT, UK.ORCID 0000-0001-9839-8878
Christian BrandEnvironmental Change Institute, University of Oxford, South Parks Road, Oxford OX1 3QY, UK.ORCID 0000-0002-1535-5328

Funding

UK Research and Innovation UKRI EP/S030700/1
6 · The paper itself

Abstract

Physical inactivity is a leading risk factor for non-communicable diseases. Climate change is now regarded as the biggest threat to global public health. Electric micromobility (e-micromobility, including e-bikes, e-cargo bikes, and e-scooters) has the potential to simultaneously increase people's overall physical activity while decreasing greenhouse gas emissions where it substitutes for motorised transport. The ELEVATE study aims to understand the impacts of e-micromobility, including identifying the people, places, and circumstances where they will be most beneficial in terms of improving people's health while also reducing mobility-related energy demand and carbon emissions. A complex mixed methods design collected detailed quantitative and qualitative data from multiple UK cities. First, nationally representative (n = 2000), city-wide (n = 400 for each of the three cities; total = 1200), and targeted study area surveys (n = 996) collected data on travel behaviour, levels of physical activity, vehicle ownership, and use, as well as attitudes towards e-micromobility. Then, to provide insights on an understudied type of e-micromobility, 49 households were recruited to take part in e-cargo bike one-month trials. Self-reported data from the participants were validated with objective data-using methods such as GPS trackers and smartwatches' recordings of routes and activities. CO

Indexed as

BicyclingTransportationCitiesHealth PromotionHumansMotor VehiclesMulticenter Studies as TopicResearch DesignUnited Kingdomactive mobilitydecarbonisatione-micromobilityhealthphysical activitystudy protocol

Identifiers

PMID39767530
PMCPMC11675237

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.