IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i23p10645-d1804714.html
   My bibliography  Save this article

Exploring Psychosocial Determinants of Young Adults E-Scooter Speeding: A TPB-Aligned SEM Study

Author

Listed:
  • Ting Lei

    (Department of Transportation Studies, Texas Southern University, Houston, TX 77004, USA)

  • Khaled Shaaban

    (Department of Civil and Environmental Engineering, Florida Polytechnic University, Lakeland, FL 33805, USA)

Abstract

This study explores the psychosocial factors that predispose young e-scooter users (18 to 24 years) to engage in illegal speeding by adopting a theory-driven approach across the Theory of Planned Behavior (TPB). The study, based on survey data of 474 participants, and analyzed with Structural Equation Modeling (SEM), found that emotional regulation and internal locus of control predict speeding intention and behavior and are significantly negative (β = +0.66 and β = −0.52, respectively). Satisfactory robustness was assured by model fit indices (0.93 CFI, 0.91 TLI, 0.045 RMSEA, and 0.071 SRMR). Findings indicate that the effect of emotional regulation is more on attitude and perception of behavioral control, but the connection between self-regulation and speeding intention is mediated by internal control. The inclusion of psychosocial variables in the TPB contributes to the behavioral theory of micro-mobility contexts and the behavioral study of sustainable-mobility research to emotional and cognitive aspects of risk behavior. The policy suggestions include incorporating short emotion-management courses into rider-training applications, collaborating with scooter-sharing institutions on incentive-based safety interventions, and developing interventions that promote responsibility, self-control, and emotional sensitivity among young people. These results reiterate the fact that psychological antecedents of risky riding require attention to achieve socially and environmentally sustainable urban mobility.

Suggested Citation

  • Ting Lei & Khaled Shaaban, 2025. "Exploring Psychosocial Determinants of Young Adults E-Scooter Speeding: A TPB-Aligned SEM Study," Sustainability, MDPI, vol. 17(23), pages 1-24, November.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:23:p:10645-:d:1804714
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/23/10645/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/17/23/10645/
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    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:gam:jsusta:v:17:y:2025:i:23:p:10645-:d:1804714. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.