A comparison of hazard perception and hazard prediction tests across China, Spain and the UK

Ventsislavova, P. ORCID: 0000-0002-7095-8113, Crundall, D. ORCID: 0000-0002-6030-3631, Baguley, T. ORCID: 0000-0002-0477-2492, Castro, C., Gugliotta, A., Garcia-Fernandez, P., Zhang, W., Ba, Y. and Li, Q., 2019. A comparison of hazard perception and hazard prediction tests across China, Spain and the UK. Accident Analysis & Prevention, 122, pp. 268-286. ISSN 0001-4575

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Abstract

Hazard perception (HP) is the ability to spot on-road hazards in time to avoid a collision. This skill is traditionally measured by recording response times to hazards in video clips of driving, with safer, experienced drivers often out-performing inexperienced drivers. This study assessed whether HP test performance is culturally specific by comparing Chinese, Spanish and UK drivers who watched clips filmed in all three countries. Two test-variants were created: a traditional HP test (requiring timed hazard responses), and a hazard prediction test, where the film is occluded at hazard-onset and participants predict what happens next. More than 300 participants, across the 3 countries, were divided into experienced and inexperienced-driver groups. The traditional HP test did not discriminate between experienced and inexperienced drivers, though participant nationality influenced the results with UK drivers reporting more hazards than Chinese drivers. The hazard prediction test, however, found experienced drivers to out-perform inexperienced drivers. No differences were found for nationality, with all nationalities being equally skilled at predicting hazards. The results suggest that drivers’ criterion level for responding to hazards is culturally sensitive, though their ability to predict hazards is not. We argue that the more robust, culturally-agnostic, hazard prediction test appears better suited for global export.

Item Type: Journal article
Alternative Title: Cross cultural hazard perception and prediction [running header]
Publication Title: Accident Analysis & Prevention
Creators: Ventsislavova, P., Crundall, D., Baguley, T., Castro, C., Gugliotta, A., Garcia-Fernandez, P., Zhang, W., Ba, Y. and Li, Q.
Publisher: Elsevier
Date: January 2019
Volume: 122
ISSN: 0001-4575
Identifiers:
NumberType
10.1016/j.aap.2018.10.010DOI
Divisions: Schools > School of Social Sciences
Depositing User: Linda Sullivan
Date Added: 25 Oct 2018 13:52
Last Modified: 02 Nov 2019 03:00
URI: http://irep.ntu.ac.uk/id/eprint/34743

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