基于知识图谱的驾驶愤怒研究现状及热点可视化分析

doi:10.16265/j.cnki.issn1003-3033.2023.07.1977

摘要/Abstract

摘要：

为统计分析近年来国内外驾驶愤怒研究现状与热点,选取Web of Science(WOS)数据库 1 190 篇相关论文以及中国知网(CNKI)数据库230篇相关论文作为数据源,借助文献计量学软件VoSviewer与CiteSpace生成知识图谱,并从载文量分布、作者与机构合作、发表期刊、关键词聚类与突现等方面,系统分析驾驶愤怒领域内的研究现状、热点与趋势等。结果表明:相关文献载文量不断上升,国内外学术界对驾驶愤怒领域关注度越来越高;国际驾驶愤怒领域的跨单位合作比国内更为广泛;驾驶愤怒相关量表、驾驶愤怒影响因素、愤怒与危险/攻击性驾驶行为关系、驾驶愤怒识别、驾驶愤怒干预为目前驾驶愤怒领域5大研究热点;愤怒状态下的驾驶绩效、驾驶愤怒检测系统以及基于交通工程视角的驾驶愤怒管控等方面是未来的研究趋势。

关键词: 知识图谱(MKD), 驾驶愤怒, 研究热点, 聚类, 可视化分析

Abstract:

In order to analyze the research status and hotspots in the field of driving anger at home and abroad in recent years, 1 190 papers from the core collection of Web of Science (WOS) database and 230 papers from China National Knowledge Infrastructure (CNKI) database were selected as data sources. This paper used bibliometric software of VoSviewer and CiteSpace to generate knowledge mapping.The current status, hotspots and trends of research in the field of driving anger were systematically analyzed in terms of volume distribution, author cooperation and citation, published journals, keyword clustering and emergence, etc. The conclusions are as follows: The amount of relevant literature is increasing, and the international and domestic academic communities are paying more and more attention to the field of driving anger. The cross-unit cooperation in the international academic community is more popular than that in the domestic academic community. Research hotspots in the field of driving anger include driving anger related scales, influencing factor of driving anger, relationship between driving anger and dangerous/aggressive behaviors, driving anger identification and driving anger interventions. Driving performance under anger, driving anger detection systems and driving anger management and control from the perspective of traffic engineering are the future research trends.

Key words: mapping knowledge domain (MKD), driving anger, research hotspots, clustering, visualization analysis

万平, 邓鑫焰, 马晓凤. 基于知识图谱的驾驶愤怒研究现状及热点可视化分析[J]. 中国安全科学学报, 2023, 33(7): 39-50.

WAN Ping, DENG Xinyan, MA Xiaofeng. Visual analysis of research status and hotspots for driving anger based on mapping knowledge domain[J]. China Safety Science Journal, 2023, 33(7): 39-50.

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序号	作者	被引量	连接强度	序号	作者	被引量	连接强度
1	DEFFENBACHER	1 567	1 100	9	WIESENTHAL	390	122
2	LYNCH	1 362	919	10	GE Yan	361	503
3	LAJUNEN	1 150	430	11	TAUBMAN	333	140
4	OETTING	1 072	700	12	MANN	301	279
5	STEPHENS	737	1 071	13	ZHANG Tingru	282	295
6	SULLMAN	714	1 002	14	WICKENS	271	329
7	OZKAN	608	199	15	LUCIDI	256	69
8	QU Weina	435	533	16	GROEGER	255	278

序号	期刊(简写)	发文量	被引	强度	序号	期刊(简写)	发文量	被引	强度
1	Transport Res F-Traf	192	3 827	2 092	9	J Appl Psychol	14	849	306
2	Accident Anal Prev	167	7 085	2 061	10	Safety Sci	14	503	201
3	Traffic Inj Prev	31	323	254	11	IEEE T Intell Transp	11	300	10
4	Transport Res Rec	30	281	49	12	J Transp Saf Secur	11	64	85
5	J Safety Res	24	930	389	13	Transport Res C-Emer	10	356	42
6	Pers Indiv Differ	17	1 010	477	14	Aggressive Behav	9	516	210
7	Int J Env Res Pub He	15	169	132	15	Behavior Research and Therapy	9	810	389
8	J Adv Transport	14	165	47	16	Transport Res A-Pol	9	345	6