School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran; Road Safety Research Center, Iran University of Science and Technology, Tehran, Iran.
School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran; Road Safety Research Center, Iran University of Science and Technology, Tehran, Iran.
Accid Anal Prev. 2022 Sep;174:106720. doi: 10.1016/j.aap.2022.106720. Epub 2022 Jun 11.
Due to the high volume of documents in the pedestrian safety field, the current study conducts a systematic bibliometric analysis on the researches published before October 3, 2021, based on the science-mapping approach. Science mapping enables us to present a broad picture and comprehensive review of a significant number of documents using co-citation, bibliographic coupling, collaboration, and co-word analysis. To this end, a dataset of 6311 pedestrian safety papers was collected from the Web of Science Core Collection database. First, a descriptive analysis was carried out, covering whole yearly publications, most-cited papers, and most-productive authors, as well as sources, affiliations, and countries. In the next steps, science mapping was implemented to clarify the social, intellectual, and conceptual structures of pedestrian-safety research using the VOSviewer and Bibliometrix R-package tools. Remarkably, based on intellectual structure, pedestrian safety demonstrated an association with seven research areas: "Pedestrian crash frequency models", "Pedestrian injury severity crash models", "Traffic engineering measures in pedestrians' safety", "Global reports around pedestrian accident epidemiology", "Effect of age and gender on pedestrians' behavior", "Distraction of pedestrians", and "Pedestrian crowd dynamics and evacuation". Moreover, according to conceptual structure, five major research fronts were found to be relevant, namely "Collision avoidance and intelligent transportation systems (ITS)", "Epidemiological studies of pedestrian injury and prevention", "Pedestrian road crossing and behavioral factors", "Pedestrian flow simulation", and "Walkable environment and pedestrian safety". Finally, "autonomous vehicle", "pedestrian detection", and "collision avoidance" themes were identified as having the greatest centrality and development degrees in recent years.
由于行人安全领域的文献数量庞大，本研究采用科学图谱方法，对截至 2021 年 10 月 3 日前发表的研究进行了系统的文献计量分析。科学图谱使我们能够使用共被引、文献耦合、合作和共词分析，呈现大量文献的广泛图景和综合综述。为此，从 Web of Science 核心合集数据库中收集了 6311 篇行人安全论文的数据集。首先，进行了描述性分析，涵盖了全部年度出版物、最具引用的论文和最具生产力的作者，以及来源、附属机构和国家。在下一步中，使用 VOSviewer 和 Bibliometrix R 包工具实施科学图谱，以阐明行人安全研究的社会、知识和概念结构。值得注意的是，基于知识结构，行人安全与七个研究领域相关联：“行人碰撞频率模型”、“行人伤害严重碰撞模型”、“行人安全的交通工程措施”、“全球行人事故流行病学报告”、“年龄和性别对行人行为的影响”、“行人分心”和“行人人群动态和疏散”。此外，根据概念结构，发现了五个主要的研究前沿，即“避碰和智能交通系统（ITS）”、“行人伤害和预防的流行病学研究”、“行人过马路和行为因素”、“行人流量模拟”和“可步行环境和行人安全”。最后，确定了“自动驾驶车辆”、“行人检测”和“避碰”主题是近年来具有最大中心度和发展程度的主题。
