Literature DB >> 33493183

Development and validity of a hazard prediction test for Chinese drivers.

Bocong Wu1, Long Sun1, Na Gu1.   

Abstract

BACKGROUND: Hazard perception ability, which develops with driving experience, has been proven to be associated with drivers' traffic involvement. Although classic reaction time-based hazard perception tests have been developed in many developed counties, experience-related differences may not be found in drivers from developing countries due to their increased opportunities to experience hazards on roads. Therefore, the present study aims to develop a hazard prediction test for Chinese drivers based on a predictive paradigm called "What happens next?" and assess its reliability and validity.
METHOD: Thirty-six video clips filmed from drivers' perspectives of Chinese driving settings were presented to 54 novice drivers and 47 experienced drivers. Participants were asked to answer three questions after each video clip was blacked out and to then quickly press the mouse button on a reaction time-based hazard perception test. Both the differences in the test scores between novice and experienced drivers and the differences in scores between drivers with and without traffic violations were compared.
RESULTS: The final hazard prediction test consisted of 20 video clips. A high internal consistency coefficient of the test, i.e., Cronbach's alpha = 0.862, was obtained. The total scores of the test were positively and significantly correlated with reaction times as measured on the video-based hazard perception test, thus providing evidence regarding the discriminant validity of the test. More importantly, drivers with traffic violations obtained significantly lower total scores on the test than did drivers without traffic violations.
CONCLUSION: The newly developed hazard prediction test exhibited adequate psychometric properties and provided a practical alternative for assessing drivers' hazard perception ability in China.

Entities:  

Mesh:

Year:  2021        PMID: 33493183      PMCID: PMC7833218          DOI: 10.1371/journal.pone.0245843

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  21 in total

1.  Hazard prediction discriminates between novice and experienced drivers.

Authors:  David Crundall
Journal:  Accid Anal Prev       Date:  2015-10-26

2.  Effects of driver age and experience in abrupt-onset hazards.

Authors:  Jian Sheng Yeung; Yiik Diew Wong
Journal:  Accid Anal Prev       Date:  2015-03-07

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

Authors:  Petya Ventsislavova; David Crundall; Thom Baguley; Candida Castro; Andrés Gugliotta; Pedro Garcia-Fernandez; Wei Zhang; Yutao Ba; Qiucheng Li
Journal:  Accid Anal Prev       Date:  2018-11-02

4.  Does anticipation training affect drivers' risk taking?

Authors:  Frank P McKenna; Mark S Horswill; Jane L Alexander
Journal:  J Exp Psychol Appl       Date:  2006-03

5.  What happens next? Predicting other road users' behaviour as a function of driving experience and processing time.

Authors:  Lyn Jackson; Peter Chapman; David Crundall
Journal:  Ergonomics       Date:  2009-02       Impact factor: 2.778

6.  How are distractibility and hazard prediction in driving related? Role of driving experience as moderating factor.

Authors:  Candida Castro; Jose-Luis Padilla; Pablo Doncel; Pedro Garcia-Fernandez; Petya Ventsislavova; Eduardo Eisman; David Crundall
Journal:  Appl Ergon       Date:  2019-07-11       Impact factor: 3.661

7.  The development and validation of a hazard perception test for use in driver licensing.

Authors:  Mark A Wetton; Andrew Hill; Mark S Horswill
Journal:  Accid Anal Prev       Date:  2011-05-11

8.  Development and validation of the Spanish Hazard Perception Test.

Authors:  C Castro; J L Padilla; J Roca; I Benítez; P García-Fernández; B Estévez; M F López-Ramón; D Crundall
Journal:  Traffic Inj Prev       Date:  2014-06-19       Impact factor: 1.491

9.  Creating a hazard-based training and assessment tool for emergency response drivers.

Authors:  Victoria Kroll; Andrew K Mackenzie; Thomas Goodge; Rowena Hill; Robert Davies; David Crundall
Journal:  Accid Anal Prev       Date:  2020-06-20

10.  Effects of hazard types on drivers' risk rating and hazard response in a video-based hazard perception task.

Authors:  Long Sun; Lingsen Hua
Journal:  PLoS One       Date:  2019-03-21       Impact factor: 3.240

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