IDEAS home Printed from https://ideas.repec.org/a/epw/social/v2y2022i6id18357.html

Self-Assessment of Driving Abilities of Deaf and Hearing Drivers

Author

Listed:
  • Admira Beha

    (University of Tuzla, Bosnia and Herzegovina.)

Abstract

This research aim is to evaluate how deaf and hearing traffic participants assess their driving abilities and to determine frequency of communication, traffic violations and traffic accidents that respondents are involved in. Sample of respondents was comprised of 60 drivers, 30 deaf and 30 hearing. Qualitative and quantitative analysis was used in data processing. Self-assessment was conducted by conducting a survey about their driving abilities and abilities of the other subsample of respondents. Differences in answers were determined with t-test. Results indicate that both subsamples assess their driving abilities as very good and their driving as safe. There are differences in the safety aspect of the driving, where hearing drivers expressed some doubt about this aspect when it comes to deaf drivers. By assessing frequency of communication during driving, it has been concluded that hearing drivers communicate more often and have more involvement in traffic accidents. When it comes to correlation between frequency of communication and number of committed traffic violations, no significant differences were observed between the two subsamples. Despite self-assessment of driving ability being very good and safe by both subsamples of respondents, traffic accidents are a very frequent occurrence. Although, conversation with passengers is not prohibited, drivers should be advised to reduce it to minimum, as it has proven to be one of the significant distracting factors when it comes to driving.

Suggested Citation

  • Admira Beha, 2022. "Self-Assessment of Driving Abilities of Deaf and Hearing Drivers," European Journal of Humanities and Social Sciences, European Open Science, vol. 2(6), pages 70-75, October.
  • Handle: RePEc:epw:social:v:2:y:2022:i:6:id:18357
    DOI: 10.24018/ejsocial.2022.2.6.357
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejsocial/article/view/18357
    File Function: Abstract page
    Download Restriction: no

    File URL: https://eu-opensci.org/index.php/ejsocial/article/download/18357/4506
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.24018/ejsocial.2022.2.6.357?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
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:epw:social:v:2:y:2022:i:6:id:18357. 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: Support (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejsocial .

    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.