IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v15y2024i1d10.1038_s41467-024-50049-x.html
   My bibliography  Save this article

Pedestrians' safety using projected time-to-collision to electric scooters

Author

Listed:
  • Alireza Jafari

    (National Cheng Kung University)

  • Yen-Chen Liu

    (National Cheng Kung University)

Abstract

Safety concern among electric scooter riders drives them onto sidewalks, endangering pedestrians and making them uncomfortable. Regulators’ solutions are inconsistent and conflicting worldwide. Widely accepted pedestrian safety metrics may lead to converging solutions. Adapting the time-to-collision from car traffic safety, we define projected time-to-collision and experimentally study pedestrians’ objective and subjective safety. We design isolated and crowd experiments using e-scooter-to-pedestrian interactions to assess the impact of various factors on objective safety. In addition, we conducted a pedestrian survey to relate the subjective safety and the metric. We report a strong correlation between subjective safety and the projected time-to-collision when agents face each other and no relation when the e-scooter overtakes a pedestrian. As a near-miss metric correlated with pedestrian comfort, projected time-to-collision is implementable in policy-making, urban architecture, and e-scooter design to enhance pedestrian safety.

Suggested Citation

  • Alireza Jafari & Yen-Chen Liu, 2024. "Pedestrians' safety using projected time-to-collision to electric scooters," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-50049-x
    DOI: 10.1038/s41467-024-50049-x
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-024-50049-x
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-024-50049-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Omar Isaac Asensio & Camila Z. Apablaza & M. Cade Lawson & Edward W. Chen & Savannah J. Horner, 2022. "Impacts of micromobility on car displacement with evidence from a natural experiment and geofencing policy," Nature Energy, Nature, vol. 7(11), pages 1100-1108, November.
    2. Kailai Wang & Xiaodong Qian & Dillon Taylor Fitch & Yongsung Lee & Jai Malik & Giovanni Circella, 2023. "What travel modes do shared e-scooters displace? A review of recent research findings," Transport Reviews, Taylor & Francis Journals, vol. 43(1), pages 5-31, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Can Cui & Yu Zhang, 2024. "Integration of Shared Micromobility into Public Transit: A Systematic Literature Review with Grey Literature," Sustainability, MDPI, vol. 16(9), pages 1-18, April.
    2. Fukushige, Tatsuya & Fitch-Polse, Dillon T., 2024. "American Micromobility Panel (Part 2): Transit Connection, Mode Substitution, and VMT Reduction," Institute of Transportation Studies, Working Paper Series qt4qr5t2tw, Institute of Transportation Studies, UC Davis.
    3. Aarhaug, Jørgen & Fearnley, Nils & Johnsson, Espen, 2023. "E-scooters and public transport – Complement or competition?," Research in Transportation Economics, Elsevier, vol. 98(C).
    4. Kieran Winter & Zhirong Liao & Erik Abbá & Jose A. Robles Linares & Dragos Axinte, 2024. "Effect of sub-micron deformations at opposing strain rates on the micromagnetic behaviour of non-oriented electrical steel," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    5. Zhang, Yuting & Nelson, John D. & Mulley, Corinne, 2024. "Learning from the evidence: Insights for regulating e-scooters," Transport Policy, Elsevier, vol. 151(C), pages 63-74.
    6. Cloud, Cannon & Heß, Simon & Kasinger, Johannes, 2023. "Shared e-scooter services and road safety: Evidence from six European countries," European Economic Review, Elsevier, vol. 160(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-50049-x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.