IDEAS home Printed from https://ideas.repec.org/a/eee/trapol/v66y2018icp17-29.html
   My bibliography  Save this article

Traffic sign perception among Jordanian drivers: An evaluation study

Author

Listed:
  • Taamneh, Madhar
  • Alkheder, Sharaf

Abstract

Highway traffic control signs are commonly used to regulate, warn, and guide road users. It is widely believed that traffic signs comprehension has a tremendous effect on traffic safety. The primary objective of this research is to investigate the relationship between drivers’ personal characteristics and their familiarity/comprehensibility with a thirty nine posted traffic signs. To this end, 400 surveys were distributed among Jordanian drivers. The results showed that the familiarity level of traffic signs is higher than comprehensibility level. On average 79%, 77%, and 83% of the drivers were familiar with regulatory, warning, and guidance traffic signs, respectively. On the other hand, only 61%, 66%, and 75% of the drivers comprehended regulatory, warning, and guidance traffic signs, respectively. “Narrow Bridge”, “Divided Roadway a Head”, “Dead End” and “Highway” received the lowest comprehensibility scores among drivers. Participants with commercial driving license had higher familiarity and comprehensibility levels than those with regular license. Drivers with a driving experience more than 11years show more familiarity and comprehensibility for traffic signs than those with less than 2 years driving experience. The number of traffic violations did not have a significant effect on traffic signs familiarity and comprehensibility.

Suggested Citation

  • Taamneh, Madhar & Alkheder, Sharaf, 2018. "Traffic sign perception among Jordanian drivers: An evaluation study," Transport Policy, Elsevier, vol. 66(C), pages 17-29.
    • Handle: RePEc:eee:trapol:v:66:y:2018:i:c:p:17-29
    DOI: 10.1016/j.tranpol.2018.02.017
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0967070X1730255X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tranpol.2018.02.017?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. Qiang Wei & Xinyu Du & Yixin Lin & Guanhua Hou & Siyuan Liu & Hao Fang & Ming Jin, 2023. "Recognition Mechanism of Dangerous Goods Marks: Evidence from an Event-Related Potential Study," IJERPH, MDPI, vol. 20(6), pages 1-12, March.
    2. Sikai Chen & Shuya Zong & Tiantian Chen & Zilin Huang & Yanshen Chen & Samuel Labi, 2023. "A Taxonomy for Autonomous Vehicles Considering Ambient Road Infrastructure," Sustainability, MDPI, vol. 15(14), pages 1-27, July.
    3. Antoni Wontorczyk & Stanislaw Gaca, 2021. "Study on the Relationship between Drivers’ Personal Characters and Non-Standard Traffic Signs Comprehensibility," IJERPH, MDPI, vol. 18(5), pages 1-19, March.

    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:eee:trapol:v:66:y:2018:i:c:p:17-29. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/30473/description#description .

    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.