Correlations among self-report, static image, and video-based hazard perception assessments: the validity of a new Lithuanian hazard prediction test

Endriulaitienė, A, Šeibokaitė, L, Markšaitytė, R, Slavinskienė, J, Crundall, D ORCID: https://orcid.org/0000-0002-6030-3631 and Ventsislavova, P ORCID: https://orcid.org/0000-0002-7095-8113, 2022. Correlations among self-report, static image, and video-based hazard perception assessments: the validity of a new Lithuanian hazard prediction test. Accident Analysis and Prevention, 173: 106716. ISSN 0001-4575

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Abstract

Scholars suggest that improving hazard perception (HP) skills among different road users can lead to safer driving. To this end, a small number of countries have developed a national hazard perception test for their licensing procedures. The purpose of the current research is to develop and validate a new video-based hazard prediction test for the Lithuanian driving context. Eighty-eight drivers participated in the study. Initially, 25 naturalistic clips were included and edited into a hazard prediction test following the “what happens next?” paradigm. The overall score of the test was higher for experienced drivers when compared with novices. On further inspection the overall group difference was driven by 12 clips. The Lithuanian Hazard Perception test HPT-LIT featuring static images (Tūskė et al., 2019) and Hazard Perception Questionnaire developed by White et al. (2011) were used to validate the new test.

This new version of the test (12 clips, LHP12) showed acceptable psychometric properties. Drivers with less driving experience demonstrated poorer hazard prediction skills than experienced drivers. The results revealed a negative correlation between hazard prediction scores on LHP12 and crash involvement in the novice driver group, as well as a positive correlation between prediction scores and self-reported hazard prediction skills. It was concluded that the new Lithuanian hazard test shows potential for future research.

Item Type:	Journal article
Publication Title:	Accident Analysis and Prevention
Creators:	Endriulaitienė, A., Šeibokaitė, L., Markšaitytė, R., Slavinskienė, J., Crundall, D. and Ventsislavova, P.
Publisher:	Elsevier BV
Date:	August 2022
Volume:	173
ISSN:	0001-4575
Identifiers:	Number Type 10.1016/j.aap.2022.106716 DOI 1552833 Other
Divisions:	Schools > School of Social Sciences
Record created by:	Laura Ward
Date Added:	08 Aug 2022 15:32
Last Modified:	21 May 2023 03:00
URI:	https://irep.ntu.ac.uk/id/eprint/46840

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