IDEAS home Printed from https://ideas.repec.org/a/wly/riskan/v29y2009i6p900-911.html
   My bibliography  Save this article

The Roads Ahead: Collision Risks, Trends, and Safety of Drivers

Author

Listed:
  • Sandy Helene Straus
  • Xiaojun Gu

Abstract

The propensity of fatal traffic collisions transcends driver age and reinforces the need to evaluate, among other factors, the impact of roadway lighting and other features of driver vision, perception, and performance. Collisions may result from a driver's inability to notice delineation, recognize warnings, and other possible road safety controls during various lighting conditions. Hence we compare the relative accident involvement ratio (RAIR) of collisions of millions of drivers from two U.S. States over an 11‐year period, 1991–2001. We associate collision trends through RAIR with bathtub curves that are commonly identified with product failure and reliability engineering. Hence we observe the need for improved and automated driver's license testing techniques and applications, especially as these relate to the visual and cognitive abilities of drivers of all ages. Our findings may ultimately improve motorist safety, save lives, and benefit numerous other states, countries, and agencies, including, but not limited to, aviation, commercial vehicles, maritime, and rail sectors, among others.

Suggested Citation

  • Sandy Helene Straus & Xiaojun Gu, 2009. "The Roads Ahead: Collision Risks, Trends, and Safety of Drivers," Risk Analysis, John Wiley & Sons, vol. 29(6), pages 900-911, June.
    • Handle: RePEc:wly:riskan:v:29:y:2009:i:6:p:900-911
    DOI: 10.1111/j.1539-6924.2009.01214.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1539-6924.2009.01214.x
    Download Restriction: no
    File URL: https://libkey.io/10.1111/j.1539-6924.2009.01214.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
    ---><---

    Citations

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


    Cited by:

    1. Jinxian Weng & Qiang Meng & David Z. W. Wang, 2013. "Tree‐Based Logistic Regression Approach for Work Zone Casualty Risk Assessment," Risk Analysis, John Wiley & Sons, vol. 33(3), pages 493-504, March.

    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:wly:riskan:v:29:y:2009:i:6:p:900-911. 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: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1111/(ISSN)1539-6924 .

    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.