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Assessing the perception of E-scooters as a practical and equitable first-mile/last-mile solution

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  • McQueen, Michael
  • Clifton, Kelly J.

Abstract

E-scooters have disrupted and altered the urban mobility landscape. During their introductory period, they have been commonly touted as part of a larger micromobility solution that erases equity barriers and solves the first-mile/last-mile problem. However, few studies in the nascent e-scooter literature have considered these claims. In this study, we used a d-efficient method to design and administer a stated choice experiment (SCE) to students at Portland State University (PSU) (n = 1,968). In the SCE, students were given a three-mode labelled choice set consisting of three travel modes: car, bike, and e-scooter + MAX light rail. (The e-scooter + MAX light rail choice is multimodal, with the e-scooter acting as the first-mile access mode). We generated attitudinal indices using exploratory factor analysis (EFA) in order to control for mode perception. To demonstrate the relationship of travel time and cost in addition to other covariates on mode choice, we estimated a mixed multinomial logit (MMNL) model. We performed elasticity and sensitivity analyses to uncover factors that encouraged first-mile/last-mile e-scooter usage. We then used the model to generate catchment area maps for multimodal trips in the Portland area.

Suggested Citation

  • McQueen, Michael & Clifton, Kelly J., 2022. "Assessing the perception of E-scooters as a practical and equitable first-mile/last-mile solution," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 395-418.
    • Handle: RePEc:eee:transa:v:165:y:2022:i:c:p:395-418
    DOI: 10.1016/j.tra.2022.09.021
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    References listed on IDEAS

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    Cited by:

    1. Abouelela, Mohamed & Durán-Rodas, David & Antoniou, Constantinos, 2024. "Do we all need shared E-scooters? An accessibility-centered spatial equity evaluation approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
    2. Wu, Yuhang & Liu, Tao & Du, Bo, 2024. "Fleet sizing and static rebalancing strategies for shared E-scooters: A case study in Indianapolis, USA," Transportation Research Part A: Policy and Practice, Elsevier, vol. 190(C).
    3. Handy, Susan L & Volker, Jamey M. B. & Hosseinzade, Reyhane, 2024. "Assessing the Effectiveness of Potential Vehicle-Miles-Traveled (VMT) Mitigation Measures," Institute of Transportation Studies, Working Paper Series qt1pf307sp, Institute of Transportation Studies, UC Davis.
    4. Nikiforiadis, Andreas & Paschalidis, Evangelos & Stamatiadis, Nikiforos & Paloka, Ntonata & Tsekoura, Eleni & Basbas, Socrates, 2023. "E-scooters and other mode trip chaining: Preferences and attitudes of university students," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    5. Aarhaug, Jørgen & Fearnley, Nils & Hartveit, Knut Johannes Liland & Johnsson, Espen, 2023. "Price and competition in emerging shared e-scooter markets," Research in Transportation Economics, Elsevier, vol. 98(C).
    6. Aarhaug, Jørgen & Fearnley, Nils & Johnsson, Espen, 2023. "E-scooters and public transport – Complement or competition?," Research in Transportation Economics, Elsevier, vol. 98(C).
    7. Tamakloe, Reuben & Zhang, Kaihan & Atandzi, Jonathan & Park, Dongjoo, 2024. "Examining urban delivery service user profiles and determinants of drone delivery adoption in Ghana considering usage before and after the COVID-19 pandemic," Transport Policy, Elsevier, vol. 146(C), pages 279-294.

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