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Driving Hazard Perception Components: A Systematic Review and Meta-Analysis

Authors :
Yasaman Habibzadeh omran
Mohammad Hossein Yarmohammadian
Homayoun Sadeghi-Bazargani
Source :
Bulletin of Emergency and Trauma, Vol 11, Iss 1, Pp 1-12 (2023)
Publication Year :
2023
Publisher :
Shiraz University of Medical Sciences, 2023.

Abstract

Objective: To estimate the rate of driving hazard perception (HP), explicate the content of HP and determineits components.Methods: The present study is a systematic review and a meta-analysis which is carried out to gather data,to search Science Direct, PubMed, Scopus, PROQUEST, web of knowledge databases, Google scholar searchengine and also to search manually from January 2000 to September 2021 with using related keywords. EndNoteX20 software was used to manage and screening studies. Stata16 was used for meta-analysis. Thematic contentanalysis was used to analyze the findings. The entire review process was conducted by two authors, and disputeswere referred to a third person.Results: Out of the 1167 founded articles, 50 were finally included in the study. According to 10 importedpapers for meta-analysis includes 2770 sample size, general HP of drivers is estimated 3.33 [4.04-2.62 with CI95, I2=89.72]. Also, HP for experienced and beginner drivers is estimated 3.26 [2.23-4.26 with CI 95, I2=89.47]and 3.42 [2.41-4.43 with CI 95, I2=89.68], respectively. Also, in the data meta-synthesis, 28 definitions of HPand 6 main components are identified to evaluate HP using thematic content analysis.Conclusion: In this study, obtained results show that all people need constant and gradual training at all levels.A factor that can be effective to improve drivers’ HP is to make drivers to take training courses and to passstandard tests at the time of obtaining driving license.

Details

Language :
English
ISSN :
23222522 and 23223960
Volume :
11
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Bulletin of Emergency and Trauma
Publication Type :
Academic Journal
Accession number :
edsdoj.fb9c916c33db46e29713537f8c5b0a9d
Document Type :
article
Full Text :
https://doi.org/10.30476/beat.2023.95410.1356