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Mapping the knowledge domain of road safety studies: A scientometric analysis

机译:绘制道路安全研究的知识领域:科学计量分析

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摘要

As a way of obtaining a visual expression of knowledge, mapping knowledge domain (MICR) provides a vision-based analytic approach to scientometric analysis which can be used to reveal an academic community, the structure of its networks, and the dynamic development of a discipline. This study, based on the Science Citation Index Expanded (SCIE) and Social Sciences Citation Index (SSCI) articles on road safety, employs the bibliometric tools VOSviewer and CitNetExplorer to create maps of author co-citation, document co-citation, citation networks, analyze the core authors and classic documents supporting road safety studies and show the citation context and development of such studies. It shows that road safety studies clustered mainly into four groups, whose we will refer to as "effects of driving psychology and behavior on road safety", "causation, frequency and injury severity analysis of road crashes", "epidemiology, assessment and prevention of road traffic injury", and "effects of driver risk factors on driver performance and road safety", respectively. Through our analysis, the core publications and their citation relationships were quickly located and explored, and "crash frequency modeling analysis" has been identified to be the core research topic in road safety studies, with spatial statistical analysis technique emerging as a frontier of this topic.
机译:作为获取知识的直观表达的一种方式,映射知识领域(MICR)提供了一种基于视觉的科学计量分析分析方法,可用于揭示学术团体,其网络结构以及学科的动态发展。这项研究基于关于道路安全的扩展的科学引文索引(SCIE)和社会科学引文索引(SSCI)文章,利用文献计量工具VOSviewer和CitNetExplorer创建了作者共同引文,文档共同引文,引文网络,分析支持道路安全研究的核心作者和经典文档,并显示此类研究的引文背景和发展。结果表明,道路安全研究主要分为四类,我们将其称为“驾驶心理和行为对道路安全的影响”,“道路交通事故的成因,频率和伤害严重性分析”,“流行病学,评估和预防”。道路交通伤害”和“驾驶员危险因素对驾驶员性能和道路安全的影响”。通过我们的分析,核心出版物及其引文关系得以快速定位和探索,“碰撞频率建模分析”已被确定为道路安全研究的核心研究主题,而空间统计分析技术正在成为该主题的前沿。 。

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