IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v15y2025i2p21582440251346580.html
   My bibliography  Save this article

Examining Urban Rail Transit Choice Intention: An Integration of Value-Belief-Norm and Customer Satisfaction Theories

Author

Listed:
  • Yuning Wang
  • Zhiqing Fan
  • Qianwen Wang

Abstract

This paper examines the factors influencing passengers’ intention to use urban rail transit, with a particular focus on psychological variables. A comprehensive psychological model, integrating the Value-Belief-Norm (VBN) theory and Customer Satisfaction (CS) theory, is employed to analyze passengers’ travel intentions. Grounded in this theoretical framework, the study applies Structural Equation Modeling (SEM) and survey data to evaluate the impact of low-carbon transportation policies and low-carbon awareness on passengers’ intentions to reuse rail transit in Tianjin, China. The empirical results show that the integration of VBN and CS theories provides an effective framework for predicting passengers’ reuse intentions. Specifically, low-carbon transport policies have a positive effect on passengers’ reuse intentions, while low-carbon awareness influences these intentions indirectly through the mechanisms of awareness of consequences, ascription of responsibility, and personal norms. This study offers valuable insights for transportation authorities to better understand the psychological factors shaping passengers’ decisions and to enhance service provision accordingly.

Suggested Citation

  • Yuning Wang & Zhiqing Fan & Qianwen Wang, 2025. "Examining Urban Rail Transit Choice Intention: An Integration of Value-Belief-Norm and Customer Satisfaction Theories," SAGE Open, , vol. 15(2), pages 21582440251, June.
    • Handle: RePEc:sae:sagope:v:15:y:2025:i:2:p:21582440251346580
    DOI: 10.1177/21582440251346580
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/21582440251346580
    Download Restriction: no
    File URL: https://libkey.io/10.1177/21582440251346580?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
    ---><---

    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:sae:sagope:v:15:y:2025:i:2:p:21582440251346580. 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: SAGE Publications (email available below). General contact details of provider: .

    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.