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, Nick Marks, Theresa Nelson and Christian Brand
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Ian Philips: Institute for Transport Studies, University of Leeds, University Road, Leeds LS2 9JT, UK
Labib Azzouz: Environmental Change Institute, University of Oxford, South Parks Road, Oxford OX1 3QY, UK
Alice de Séjournet: Institute for Transport Studies, University of Leeds, University Road, Leeds LS2 9JT, UK
Jillian Anable: Institute for Transport Studies, University of Leeds, University Road, Leeds LS2 9JT, UK
Frauke Behrendt: Industrial Engineering and Innovation Sciences, TU Eindhoven, 5612 AE Eindhoven, The Netherlands
Sally Cairns: School of Humanities and Social Science, University of Brighton, Mithras House, Moulsecoomb BN2 4AT, UK
Noel Cass: Institute for Transport Studies, University of Leeds, University Road, Leeds LS2 9JT, UK
Mary Darking: School of Humanities and Social Science, University of Brighton, Mithras House, Moulsecoomb BN2 4AT, UK
Clara Glachant: Industrial Engineering and Innovation Sciences, TU Eindhoven, 5612 AE Eindhoven, The Netherlands
Eva Heinen: ETH Zürich, Verkehrs- und Mobilitätsplanung, HIL F 31.3, Stefano-Franscini-Platz 5, 8093 Zürich, Switzerland
Nick Marks: School of Humanities and Social Science, University of Brighton, Mithras House, Moulsecoomb BN2 4AT, UK
Theresa Nelson: Institute for Transport Studies, University of Leeds, University Road, Leeds LS2 9JT, UK
Christian Brand: Environmental Change Institute, University of Oxford, South Parks Road, Oxford OX1 3QY, UK

IJERPH, 2024, vol. 21, issue 12, 1-13

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 2 impacts of e-micromobility use were 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 (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2024
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