IDEAS home Printed from https://ideas.repec.org/a/taf/transp/v45y2022i4p311-334.html
   My bibliography  Save this article

Heterogeneity in behavioural response to pricing policies in the transition from motorcycles to private cars in motorcycle-based societies

Author

Listed:
  • Hoang Thuy Linh
  • Nguyen Hoang-Tung
  • Vu Anh Tuan
  • Muhammad Adnan
  • Tom Bellemans

Abstract

Pricing instruments are widely seen as an effective tool for reducing the travel demand for private vehicles. In contrast to developed countries, the design of pricing policies in certain developing countries is more challenging, owing to the mixed use of private cars and motorcycles. This study argues for the existence of a transitional group of motorcycle users who will switch to being car users. An investigation of the behavioural responses to a pricing policy from private car users and motorcycle users is implemented in Ho Chi Minh City, Vietnam. A propensity score-matching technique is used to identify the transitional group. The results regarding the mode choice models for various pricing policies show similar responses between the transitional motorcycle users and car users. Such characteristics of the transitional group imply that ignorance of travellers’ heterogeneity may cause significant bias, especially when modelling pricing policies.

Suggested Citation

  • Hoang Thuy Linh & Nguyen Hoang-Tung & Vu Anh Tuan & Muhammad Adnan & Tom Bellemans, 2022. "Heterogeneity in behavioural response to pricing policies in the transition from motorcycles to private cars in motorcycle-based societies," Transportation Planning and Technology, Taylor & Francis Journals, vol. 45(4), pages 311-334, May.
  • Handle: RePEc:taf:transp:v:45:y:2022:i:4:p:311-334
    DOI: 10.1080/03081060.2022.2110102
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03081060.2022.2110102
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/03081060.2022.2110102?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nguyen Viet Long & Hoang Thuy Linh & Vu Anh Tuan, 2023. "Towards Smart Parking Management: Econometric Analysis and Modeling of Public-Parking-Choice Behavior in Three Cities of Binh Duong, Vietnam," Sustainability, MDPI, vol. 15(24), pages 1-22, December.

    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:taf:transp:v:45:y:2022:i:4:p:311-334. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/GTPT20 .

    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.