• Accid Anal Prev · Oct 2020

    Clinical Trial

    The development and validation of video-based measures of drivers' following distance and gap acceptance behaviours.

    • Mark S Horswill, Andrew Hill, and Likitha Silapurem.
    • School of Psychology, The University of Queensland, St Lucia, Brisbane, QLD, 4072, Australia. Electronic address: m.horswill@psy.uq.edu.au.
    • Accid Anal Prev. 2020 Oct 1; 146: 105626.

    AbstractThe distance at which drivers follow other vehicles has been found to be linked to crash risk. Tailgating (i.e. driving at an unsafe following distance) is both endemic and a leading cause of rear-end crashes. Similarly, drivers' decisions about when to merge with a stream of traffic are likely to influence crash risk. Consistent with this, it has been shown that crashes are more common at intersections where drivers more frequently have to slow for vehicles pulling out into insufficient gaps. Therefore, the development of reliable and valid measures of both of these driving behaviours would facilitate further crash prevention research. Given the problems associated with assessing these behaviours during real driving, we developed new video-based measures. In our new following distance measure, participants view videos shot from the perspective of a driver who is following another vehicle at a range of distances across a variety of traffic environments. On each trial, participants report their own minimum comfortable following distance relative to the following distance depicted in the video. In our new test of gap acceptance behaviour, participants view a series of video clips and indicate when they would pull out into the approaching stream of traffic shown in each clip. The two new measures each yielded reliable data, and we found that young drivers made riskier choices than older drivers for both following distance and gap acceptance. These age-related differences are consistent with those found in observational studies of real driving, supporting the proposal that the new tests could potentially be used as proxies for these crash-related driving behaviours in both lab-based research and large-scale online studies.Copyright © 2020 Elsevier Ltd. All rights reserved.

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