The use of meta-analysis or research synthesis to combine driving simulation or naturalistic study results on driver distraction

被引:27
作者
Caird, Jeff K. [1 ,2 ]
Johnston, Katherine A. [1 ]
Willness, Chelsea R. [3 ]
Asbridge, Mark [4 ]
机构
[1] Univ Calgary, Dept Psychol, Calgary, AB T2N 1N4, Canada
[2] Univ Calgary, Dept Community Hlth Sci, Calgary, AB T2N 1N4, Canada
[3] Univ Saskatchewan, Edwards Sch Business, Saskatoon, SK S7N 0W0, Canada
[4] Dalhousie Univ, Dept Community Hlth & Epidemiol, Halifax, NS B3H 3J5, Canada
关键词
Driver distraction; Driving simulation; Meta-analysis; Naturalistic driving; Research synthesis; PASSENGERS;
D O I
10.1016/j.jsr.2014.02.013
中图分类号
TB18 [人体工程学];
学科分类号
1201 ;
摘要
Three important and inter-related topics are addressed in this paper. First, the importance of meta-analysis and research synthesis methods to combine studies on traffic safety, in general, and on driver distraction, in particular, is briefly reviewed. Second, naturalistic, epidemiologic, and driving simulation studies on driver distraction are used to illustrate convergent and divergent results that have accumulated thus far in this domain of research. In particular, mobile phone conversation, passenger presence, and text messaging naturalistic studies use meta-analyses and research syntheses to illustrate important patterns of results that are in need of more in-depth study. Third, a number of driver distraction study limitations such as poorly defined dependent variables, lack of methodological detail, and omission of statistical information prevent the integration of many studies into meta-analyses. In addition, the overall quality of road safety studies suffers from these same limitations and suggestions for improvement are made to guide researchers and reviewers. Practical Applications. The use of research synthesis and meta-analysis provide comprehensive estimates of the impact of distractions on driving performance, which can be used to guide public policy and future research. (C) 2014 National Safety Council and Elsevier Ltd. All rights reserved.
引用
收藏
页码:91 / 96
页数:6
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