国内电动车交通安全与管理研究关键维度分析
首发时间:2020-09-15
摘要:近些年来电动车出行在居民生活中愈发普及,随之而来的交通安全与管理问题也愈发引人关注。国内对电动车出行交通安全与管理的相关研究如何回应现实问题值得探究。选取114篇电动车交通安全与管理研究文献,对文献内容和属性进行定性分类与量化,进而应用Apriori算法从交通安全风险因素、交通管理参与主体、文献类型和文献影响四个维度挖掘文献样本数据有效的维内和维间关联规则,并结合文献对有效规则进行分析。通过数据挖掘方法对文献进行计量分析,得出该领域内现有研究过于聚焦于部分安全因素变量,交通管理参与主体视角的选择存在局限,这种特征在学位论文的研究中表现最为显著,同时也伴随着引用下载比通常不高的文献影响特征。
关键词: 文献计量 关联规则 交通管理 电动车交通 交通安全
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Analysis on the Key Dimensions of Domestic Electric Vehicle Traffic Safety and Management Research
Abstract:In recent years, with electric vehicles getting popular, traffic safety and management problems have attracted more and more attention. It is worth exploring how to respond to the practical problems in the domestic research on the safety and management of electric vehicle. In this paper, 114 research literatures on electric vehicle traffic safety and management are selected to classify and quantify the contents and attributes of the literatures, and then Apriori algorithm is applied to mine the effective association rules of the literature sample data from the four dimensions of traffic safety risk factors, participants in traffic management, literature types and literature impact, and analyze the effective rules in combination with the literatures. In conclusion, data mining method is used to measure and analyze the literature, and existing researches in this field focuses too much on certain safety factor variables, and there are limitations in the perspective selection of traffic management participants. This feature is the most significant in dissertations, and it is also lifted the influence characteristics of literature with low ratio of citation to download.
Keywords: Bibliometrics Association Rules Traffic Management Electric Vehicle Traffic Traffic Safety
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