IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v30y2023i2p239-243.html
   My bibliography  Save this article

Drinking, texting, ageing, or youth: which attribute is the riskiest for driving?

Author

Listed:
  • Toru Fujiwara
  • Kazutaka Takechi

Abstract

Assessing the risk factors causing car accidents is a crucial first step in adopting appropriate public policies to achieve road safety. We measure the risk of four distinctive driver attributes, drinking, texting, ageing, and youth, using the Levitt and Porter, 2001 framework. We find that while drink-driving is the riskiest of the four attributes (2.9 times more dangerous than sober driving), drivers aged 70 years or older are similarly risky (2.75 times more dangerous than younger drivers). These results suggest that appropriate public policies, such as a strict driver’s licence system, stringent fines on drink-driving, regulations such as average speed limits, and subsidies for advanced safety vehicles, may reduce car crashes.

Suggested Citation

  • Toru Fujiwara & Kazutaka Takechi, 2023. "Drinking, texting, ageing, or youth: which attribute is the riskiest for driving?," Applied Economics Letters, Taylor & Francis Journals, vol. 30(2), pages 239-243, January.
    • Handle: RePEc:taf:apeclt:v:30:y:2023:i:2:p:239-243
    DOI: 10.1080/13504851.2021.1983128
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13504851.2021.1983128
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/13504851.2021.1983128?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.

    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:apeclt:v:30:y:2023:i:2:p:239-243. 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/RAEL20 .

    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.