基于科学知识图谱的极端情况下城市应急管理研究

doi:10.16265/j.cnki.issn1003-3033.2025.04.0611

摘要/Abstract

摘要：

为了掌握极端情况下城市应急管理研究的发展趋势,系统梳理该领域的主要研究及其特征,利用科学知识图谱工具VOSviewer软件,以科学网核心合集(Wos CC)为数据检索源,对极端情况下应急管理研究文献进行可视化分析。结果表明:对极端情况下城市应急管理的研究近些年来逐年增多,但总体发文量不大,2004—2024年总计文献为145篇;美国、中国、澳大利亚等是研究论文数量最多的国家之一,为该领域的发展作出重要贡献;当前已形成明显的研究团队,主要在中美两国,但缺乏国际合作;研究主题经聚类分析可归纳为灾害应急管理、灾害预测模型、城市脆弱性分析、智慧城市、气候特征影响等5个方面。目前,在城市面临极端风险的概率变大的情况下,急需加强国际合作,充分利用人工智能、大数据等最新技术,构建能够面对极端情况的城市应急管理理论体系。

关键词: 极端情况, 城市应急管理, 科学知识图谱, 可视化, VOSviewer

Abstract:

To grasp the development trends in urban emergency management research under extreme circumstances, a systematic review of the main studies and research characteristics in this field has been conducted. Using the scientific knowledge mapping tool VOSviewer software and Web of Science Core Collection (Wos CC) as the data retrieval source, this article performed a visual analysis on research literature on emergency management in extreme situations. The results show that in recent years, the research on urban emergency management in extreme situations has been increasing year by year, but the overall number of articles published is not much, with a total of 145 articles from 2004 to 2024. The United States, China, Australia are among those with the highest number of research papers, making significant contributions to the development of this field. Obvious research teams have been formed, mainly in China and the United States, but there is a lack of international cooperation. Through cluster analysis, the research topics can be summarized into five aspects, namely, disaster prevention management, disaster prediction models, urban vulnerability analysis, smart cities, and the impact of climate characteristics. Currently, as the probability of cities facing extreme risks increases, it is urgent to strengthen international cooperation, fully utilize the latest technologies such as artificial intelligence and big data, and construct a theoretical system for urban emergency management capable of facing extreme situations.

Key words: extreme situations, urban emergency management, scientific knowledge mapping, visualization, VOSviewer

中图分类号:

X922.1世界

蒋卫平, 龚浩锋, 苏栋, 林星涛, 陈湘生. 基于科学知识图谱的极端情况下城市应急管理研究[J]. 中国安全科学学报, 2025, 35(4): 247-258.

JIANG Weiping, GONG Haofeng, SU Dong, LIN Xingtao, CHEN Xiangsheng. Research of urban emergency management in extreme situations based on scientific knowledge mapping[J]. China Safety Science Journal, 2025, 35(4): 247-258.

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排名	国家	发文量/篇	被引用量/次
1	USA美国	67	2 260
2	China中国	60	802
3	Australia澳大利亚	15	445
4	England英国	14	318
5	Italy意大利	10	118
6	Canada加拿大	8	319
7	Germany德国	6	67
8	Spain西班牙	6	26
9	Brazil巴西	5	44
10	Portugal葡萄牙	4	103

排名	作者	所属国家	发文量	被引用量
1	CALDAS-ALVAREZ A	西班牙	5	40
2	DANIEL J E	德国	4	26
3	EHMELE F	美国	4	24
4	EHRET U	德国	2	16
5	FELDMANN H	德国	2	16
6	FRANCA M J	德国	2	16
7	GATTKE C	德国	2	14
8	HUNDHAUSEN M	德国	2	13
9	KNIPPERTZ P	德国	2	10
10	KUEPFER K	德国	2	7

排名	期刊	发文量/ 篇	被引量/ 次	影响因子
1	International Journal of Disaster Risk Reduction	17	426	5.0
2	Sustainability	11	96	3.9
3	International Journal of Environmental Science and Technology	8	91	3.1
4	Natural Hazards	8	208	3.7
5	Journal of Hydrology	6	81	6.4
6	International Journal of Disaster Risk Science	5	26	4.0
7	Water	4	36	3.4
8	Australian Journal of Emergency Management	3	10	0.9
9	Complexity	3	42	2.3
10	Isprs International Journal of Geo-Information	3	41	3.4

簇	关键词	节点大小	连接强度	簇	关键词	节点大小	连接强度
1	disaster(灾害)	367	1 687	3	extreme heat(酷热)	236	1 351
	management(管理)	259	1 348		mortality(死亡)	217	1 102
	preparedness(准备)	245	1 457		risk(风险)	196	1 004
	emergency response(应急响应)	235	1 395		temperature(温度)	1 90	1 093
	earthquake(地震)	186	864		urban resilience(城市韧性)	151	792
	hazards(灾害)	162	806		adaptation(适应)	338	1 895
	GIS	157	889		water(水)	264	1 121
	evacuation(疏散)	151	861		city(城市)	210	883
	health education(健康教育)	141	536		climate change(气候变化)	196	861
	lessons(教训)	130	667		flood(洪涝)	152	871
2	natural disasters(自然灾害)	601	3 994		risk assessment(风险评估)	145	802
	optimization(优化)	321	2 194		river-basin(流域)	115	593
	preparedness(准备)	291	1 809		flood	110	682
	system(系统)	167	1 172		risk management(风险管理)	102	599
	wind(风)	159	1 356		urbanization(城市化)	98	567
	basin(盆地)	156	1 349	4	resilience(韧性)	481	3 857
	urban(城市)	152	668		river-basin(流域)	427	3 512
	COVID-19	148	993		framework(框架)	394	3 214
	extreme rainfall(极端降雨)	139	876		natural hazards(自然灾害)	214	1278
	extreme weather(极端天气)	137	831		impacts(影响)	209	1 595
3	climate(气候)	638	3 781		transport(交通)	197	1 271
	emergency management(应急管理)	513	3 004		travel(出行)	158	1 268
	events(事件)	461	2 786		walkability(可步行)	152	1 104
	exposure(暴露)	298	1 487		mobility(流动性)	151	1 100
	health(健康)	267	16 01		land-use(土地利用)	149	981