Preprint Article Version 1 This version is not peer-reviewed

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

Ian Philips
* ,
Labib Azzouz
,
Alice De Sejournet
,
Jillian Anable
ORCID logo ,
Frauke Behrendt
ORCID logo ,
Sally Cairns
,
Noel Cass
,
Mary Darking
,
Clara Glachant
ORCID logo ,
Eva Heinen
,
Nick Marks
ORCID logo ,
Christian Brand
ORCID logo
Version 1 : Received: 25 September 2024 / Approved: 25 September 2024 / Online: 26 September 2024 (13:42:59 CEST)

How to cite: Philips, I.; Azzouz, L.; De Sejournet, A.; Anable, J.; Behrendt, F.; Cairns, S.; Cass, N.; Darking, M.; Glachant, C.; Heinen, E.; Marks, N.; Brand, C. Domestic Use of E-Cargo Bikes and Other E-Micromobility: Protocol for a Multi-Centre, Mixed Methods Study. Preprints 2024, 2024092049. https://doi.org/10.20944/preprints202409.2049.v1 Philips, I.; Azzouz, L.; De Sejournet, A.; Anable, J.; Behrendt, F.; Cairns, S.; Cass, N.; Darking, M.; Glachant, C.; Heinen, E.; Marks, N.; Brand, C. Domestic Use of E-Cargo Bikes and Other E-Micromobility: Protocol for a Multi-Centre, Mixed Methods Study. Preprints 2024, 2024092049. https://doi.org/10.20944/preprints202409.2049.v1

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, a nationally representative (n=2000), city-wide (n = 1200) and targeted study area surveys have 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 have been recruited to take part in e-cargo bike one-month trials. Self-reported data from participants are validated with objective data using methods such as GPS trackers and smartwatches recording of routes and activities. CO2 impacts of e-micromobility use are also calculated. Participant interviews provided detailed information on preferences, expectations, experiences, barriers and enablers of e-micromobility.

Keywords

e-micromobility; health; decarbonisation; physical activity; active mobility; study protocol

Subject

Public Health and Healthcare, Other

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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