基于文献计量分析的应急避难所救援系统综述

doi:10.16265/j.cnki.issn1003-3033.2023.03.0676

摘要/Abstract

摘要：

为完善应急避难所救援功能,借助中国知网(CNKI)核心期刊库和Web版引文数据库(WOS),筛选出355篇中英文文章,展开文献计量、网络分析和主题分析。采用文献计量和可视化工具,梳理受欢迎的研究成果和具有影响力的研究人员,阐述目前已形成的4个研究集群,包括灾民避难需求、应急避难所选址、应急疏散行为和应急避难救援网络,并分析各研究主题之间的相互联系。从灾民需求、资源协调整合以及大数据和信息技术应用等方面,提出避难所救援系统研究未来发展方向。研究结果表明:1996—2021年,应急避难所救援系统的研究受到越来越多学者的关注,中文文献以应急避难所选址为主,而英文文献还关注到应急疏散行为;针对4个研究集群展开详细的主题分析,便于审查相关文献,有助于发现仍需关注的避难需求,加强资源利用,探索优化方法。

关键词: 应急避难所, 救援系统, 文献计量, 避难需求, 疏散行为, 避难救援网络

Abstract:

To continuously improve the rescue function of emergency shelters, the research related to the rescue system was reviewed. Using the China National Knowledge Infrastructure (CNKI) core journal database and Web of Science (WOS), 355 Chinese and English papers were screened, and bibliometric, network analysis, and thematic analysis were conducted. With the help of bibliometric and visualization tools, popular research results, influential authors, institutions, and regions were refined. Four research clusters have been identified, including evacuation demand, emergency shelter location, evacuation behavior, and emergency shelter rescue networks. Then the interrelationships between groups were analyzed. Finally, the gaps and trends in existing research were identified. The shelter rescue system research prospected from evacuation needs, resource coordination, integration, and big data and information technology application to provide a reference for the existing research. The results show that studies on emergency shelter rescue systems have received increasing attention from scholars during 1996-2021. The Chinese papers focus on emergency shelter locations, while the English papers also focus on emergency evacuation behavior. A detailed thematic analysis of four research clusters is conducted to facilitate the review of related literature and reveal the continued need to focus on evacuation needs, enhance resource utilization, and explore optimization methods.

Key words: emergency shelter, rescue system, bibliometrics, evacuation needs, evacuation behavior, emergency shelter rescue networks

耿劭卿, 侯汉平, 周洲. 基于文献计量分析的应急避难所救援系统综述[J]. 中国安全科学学报, 2023, 33(3): 195-203.

GENG Shaoqing, HOU Hanping, ZHOU Zhou. A review of emergency shelter rescue system based on bibliometric analysis[J]. China Safety Science Journal, 2023, 33(3): 195-203.

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排名	机构(中)	发文量/篇	机构(英)	发文量/篇
1	北京工业大学	16	普渡大学	16
2	河南理工大学	14	克莱姆森大学	16
3	北京师范大学	14	南京大学	13
4	华北理工大学	14	欧道明大学	9
5	中国科学院	10	清华大学	8
6	天津大学	8	阿扎德大学	6
7	武汉大学	7	北得克萨斯州大学	6
8	中国地震局	6	北京师范大学	5
9	吉林师范大学	5	马里兰大学	5
10	南京大学	5	德黑兰大学	5

排名	省市	占比(中)/%	国家	占比(英)/%
1	北京	31.42	美国	35.53
2	江苏	14.25	中国	32.47
3	上海	8.46	伊朗	7.04
4	四川	7.03	英国	3.15
5	河南	5.28	澳大利亚	3.06
6	湖北	5.05	智利	2.74
7	黑龙江	4.75	日本	2.49
8	天津	4.69	韩国	2.24
9	浙江	3.82	加拿大	1.99
10	河北	3.42	土耳其	1.74

排名	作者(年份)	本地/篇	全局/篇	作者(年份)	本地/篇	全局/篇
1	杨文斌等(2004)^[8]	22	170	SAADATSERESHT等(2009)^[17]	9	348
2	黄典剑等(2006)^[9]	20	130	KILCI等(2015)^[18]	9	204
3	吴健宏和翁文国(2011)^[10]	12	81	BAYRAM等(2015)^[19]	9	128
4	初建宇和苏幼坡(2006)^[11]	7	67	SBAYTI和MAHMASSANI(2006)^[20]	6	217
5	杨培峰和尹贵(2008)^[12]	7	59	KAR和HODGSON(2008)^[21]	6	164
6	马丹祥等(2015)^[13]	7	29	CHANG Hsuehsheng和 LIAO Chinhsien(2015)^[22]	6	30
7	李开兵等(2007)^[14]	6	15	CHEN Zhifen等(2013)^[23]	6	81
8	黄静等(2011)^[7]	6	53	LIU Ying等(2006)^[6]	5	119
9	初建宇等(2012)^[15]	6	34	VECERE等(2017)^[24]	5	44
10	刘强等(2010)^[16]	5	52	WANG Weiping等(2016)^[25]	5	8

排名	作者(年份)	得分	本地/ 篇	全局	作者(年份)	得分	本地/ 篇	全局/ 篇
1	杨文斌等(2004)^[8]	0.031 7	20	170	SAADATSERESHT等(2009)^[17]	0.031 4	9	348
2	黄典剑等(2006)^[9]	0.030 3	19	130	BAYRAM等(2015)^[19]	0.030 2	9	128
3	吴健宏和翁文国(2011)^[10]	0.024 1	12	81	KILCI等(2015)^[18]	0.027 9	9	204
4	马丹祥等(2015)^[13]	0.019 7	7	29	SBAYTI和MAHMASSANI(2006)^[20]	0.027 1	6	217
5	杨培峰和尹贵(2008)^[12]	0.018 0	7	59	CHANG Hsuehsheng和 LIAO Chinhsien(2015)^[22]	0.022 4	6	30
6	初建宇和苏幼坡(2006)^[11]	0.016 2	7	67	BAYRAM和YAMAN(2017)^[29]	0.021 6	3	64
7	马丹祥等(2015)^[28]	0.014 8	3	15	KAR和HODGSON(2008)^[21]	0.021 5	6	164
8	黄静等(2011)^[7]	0.013 4	6	53	HASAN等(2011)^[27]	0.020 4	3	224
9	朱佩娟等(2010)^[26]	0.012 6	5	42	LIU Ying等(2006)^[6]	0.018 7	5	119
10	刘强等(2010)^[16]	0.012 1	5	52	CHEN Zhifen等(2013)^[23]	0.018 6	6	81