Driver inattention and driver distraction in serious casualty crashes: Data from the Australian National Crash In-depth Study

Vanessa Beanland*, Michael Fitzharris, Kristie L. Young, Michael G. Lenné

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    226 Citations (Scopus)

    Abstract

    Driver inattention and driver distraction represent a major problem in road safety. Although both are believed to contribute to increased crash risk, there is currently limited reliable information on their role in crashes. The current study used in-depth data from the Australian National Crash In-depth Study to investigate the role of driver distraction and inattention in serious casualty crashes. The sample included 856 crashes from 2000 to 2011, in which at least one party was admitted to hospital due to crash-related injuries. Crashes were coded using a taxonomy of driver inattention that delineates five inattention subtypes: restricted attention, misprioritised attention, neglected attention, cursory attention, and diverted attention (distraction). Approximately 45% of crashes could not be coded due to insufficient information while in an additional 15% the participant indicated the "other driver was at fault" without specifying whether inattention was involved. Of the 340 remaining cases, most showed evidence of driver inattention (57.6%) or possible inattention (5.9%). The most common subtypes of inattention were restricted attention, primarily due to intoxication and/or fatigue, and diverted attention or distraction. The most common types of distraction involved voluntary, non-driving related distractions originating within the vehicle, such as passenger interactions. The current study indicates that a majority of serious injury crashes involve driver inattention. Most forms of inattention and distraction observed are preventable. This study demonstrates the feasibility of using in-depth crash data to investigate driver inattention in casualty crashes.

    Original languageEnglish
    Pages (from-to)99-107
    Number of pages9
    JournalAccident Analysis and Prevention
    Volume54
    DOIs
    Publication statusPublished - 2013

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