基于知识图谱的自然灾害风险防控研究进展的文献计量分析
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摘要
为分析自然灾害风险防控研究发展状况及趋势,以2003-2017年Web of Science核心合集中SCI-EXPANDED数据库收录的1 159篇自然灾害风险防控研究文献作为数据基础,利用VOSviewer和Bibexcel软件,采用共引分析、耦合分析、共著分析、词频统计和共现分析等文献计量可视化分析方法,通过文献发表的时间分布、区域分布、学科和期刊分布、文献代表作者、合作机构、研究热点等方面的分析,综述了自然灾害风险防控研究进展。结果表明:近年来,自然灾害风险防控研究热度上升迅速;美国在该领域的发文量明显领先,中国则具备了赶超的潜力;各研究机构中,北京师范大学、中国科学院、悉尼大学、京都大学等是该领域的领军机构;从发展趋势上看,该领域已形成了"水旱灾害管理""灾害风险防控""灾害脆弱性""灾害影响"4个重要的研究热点和前沿方向,其中"灾害风险防控"把其他3类热点紧密关联起来,形成了一个结构紧凑的自然灾害风险防控研究知识图谱系统。上述结果揭示了自然灾害风险防控研究的演变特征与发展趋势,有助于加深对自然灾害风险防控研究领域的整体认识。
In order to analyze the status of natural disaster risk prevention and control research and explore its development trend, this paper used 1159 natural disaster risk prevention and control research literatures included in the SCI-EXPANDED database from the 2003-2017 Web of Science Core Collection(hereinafter referred to as WOS) as data, based on VOSviewer and Bibexcel software, used co-citation analysis, coupling analysis, co-authoring analysis, word frequency statistics and co-occurrence analysis to visualize the bibliometric analysis, reviewed the literature on the natural disaster risk prevention and control through six aspects: time distribution, regional distribution, subject and journal distribution, literature representative authors, cooperative institutions, and research hotspots. The results show that the research on natural disaster risk prevention and control has risen rapidly; the United States has a clear lead in this field, China has the trend of catching up with the United States in recent years; the leading units in this field include Beijing Normal University, Chinese Academy of Sciences, University of Sydney, Kyoto University, etc.; the field has formed four important research hotspots and frontier directions of water and drought disaster management, disaster risk prevention and control, disaster vulnerability and disaster impact, where disaster risk prevention and control closely links the other three hotspots and forms a compact knowledge map system for natural disaster risk prevention and control research. The above results reveal the evolution characteristics and future development trends of natural disaster risk prevention and control research, and help to deepen the overall understanding of natural disaster risk prevention and control research.
In order to analyze the status of natural disaster risk prevention and control research and explore its development trend, this paper used 1159 natural disaster risk prevention and control research literatures included in the SCI-EXPANDED database from the 2003-2017 Web of Science Core Collection(hereinafter referred to as WOS) as data, based on VOSviewer and Bibexcel software, used co-citation analysis, coupling analysis, co-authoring analysis, word frequency statistics and co-occurrence analysis to visualize the bibliometric analysis, reviewed the literature on the natural disaster risk prevention and control through six aspects: time distribution, regional distribution, subject and journal distribution, literature representative authors, cooperative institutions, and research hotspots. The results show that the research on natural disaster risk prevention and control has risen rapidly; the United States has a clear lead in this field, China has the trend of catching up with the United States in recent years; the leading units in this field include Beijing Normal University, Chinese Academy of Sciences, University of Sydney, Kyoto University, etc.; the field has formed four important research hotspots and frontier directions of water and drought disaster management, disaster risk prevention and control, disaster vulnerability and disaster impact, where disaster risk prevention and control closely links the other three hotspots and forms a compact knowledge map system for natural disaster risk prevention and control research. The above results reveal the evolution characteristics and future development trends of natural disaster risk prevention and control research, and help to deepen the overall understanding of natural disaster risk prevention and control research.
引文
[1] 金菊良, 魏一鸣, 付强, 等. 改进的层次分析法及其在自然灾害风险识别中的应用[J]. 自然灾害学报, 2002, 11(2):20-24.
[2] 尚志海, 刘希林. 自然灾害风险管理关键问题探讨[J]. 灾害学, 2014, 29(2):158-164.
[3] Smolka A. Natural disasters and the challenge of extreme events: risk management from an insurance perspective[J]. Philosophical Transactions Mathematical Physical & Engineering Sciences, 2006, 364(1845):2147-2165.
[4] WEI L, CHEN H. Emergent management for consumable industry chains after natural disasters[C]// International Conference on Management of E-Commerce and E-Government. IEEE, 2009:301-305.
[5] Wellington J J, Ramesh P. Role of Internet of Things in disaster management[C]// International Conference on Innovations in Information, Embedded and Communication Systems. 2017:1-4.
[6] Hewitt K. Environmental disasters in social context: toward a preventive and precautionary approach[J]. Natural Hazards, 2013, 66(1):3-14.
[7] Nanto D K, Cooper W H, Donnelly J M, et al. Japan’s 2011 Earthquake and Tsunami: Economic Effects and Implications for the United States[C]// Congressional Research Service, Library of Congress, 2011.
[8] ZOU M, YUAN Y. China’s comprehensive disaster reduction[J]. International Journal of Disaster Risk Science, 2010, 1(1):24-32.
[9] 魏一鸣, 袁潇晨, 吴刚, 等. 气候变化风险评估研究现状与热点: 基于Web of Science的文献计量分析[J].中国科学基金, 2014, 28(5):347-356.
[10] 巫丽芸,荷东进,洪伟,等.自然灾害风险评估与灾害易损性研究进展[J].灾害学,2014,29(4):129-135.
[11] 金菊良, 宋占智, 崔毅, 等. 旱灾风险评估与调控关键技术研究进展[J]. 水利学报, 2016, 47(3):398-412.
[12] 张继权, 冈田宪夫, 多多纳裕一. 综合自然灾害风险管理--全面整合的模式与中国的战略选择[J]. 自然灾害学报, 2006, 15(1):29-37.
[13] 史培军, 叶涛, 王静爱, 等. 论自然灾害风险的综合行政管理[J]. 北京师范大学学报(社会科学版), 2006(5):130-136.
[14] Domineyhowes D, Bajorek B, Michael C A, et al. Applying the emergency risk management process to tackle the crisis of antibiotic resistance[J]. Front Microbiol, 2015, 6:927.
[15] LI Y, Lindt J W V D. Loss-based formulation for multiple hazards with application to residential buildings[J]. Engineering Structures, 2012, 38(4):123-133.
[16] Merz B, Friedrich J, Disse M, et al. Possibilities and limitations of interdisciplinary, user-oriented research: Experiences from the German Research Network Natural Disasters[J]. Natural Hazards, 2006, 38(1-2):3-20.
[17] 马保成. 自然灾害风险定义及其表征方法[J]. 灾害学, 2015, 30(3):16-20.
[18] 程先富, 戴梦琴. 洪涝灾害风险研究团队及研究进展的文献计量分析[J]. 安徽师范大学学报(自然科学版), 2017, 40(3):275-281.
[19] VAN ECK N J, WALTMAN L. VOSviewer:A computer program for bibliometric mapping[J]. Scientometrics, 2010, 84(2):523-538.
[20] 高凯. 文献计量分析软件VOSviewer的应用研究[J]. 科技情报开发与经济, 2015, 25(12):95-98.
[21] Nees Jan van Eck, Ludo Waltman,Rommert Dekker, Jan van den Berg. A comparison of two techniques for bibliometric mapping: multidimensional scaling and VOS[J]. Journal of the American Society for Information Science and Technology, 2010, 61(12): 2405-2416.
[22] 侯海燕, 郭芳琪, 孙太安, 等. 基于VOSviewer的山东省生物技术领域国内及国际研究现状分析[J]. 科学与管理, 2018, 38(2):25-33.
[23] 王晓洁. 国外青年脑梗死文献计量学分析[J]. 晋图学刊, 2014, 141(2):72-75.
[24] 杨瑞仙, 张梦君. 作者学术关系研究进展[J]. 图书情报工作, 2016, 60(13):141-148.
[25] 马瑞敏, 邱均平. 基于CSSCI的论文同被引实证计量研究——以图书馆学、情报学为例[J]. 图书情报知识, 2005, 107(5):77-79.
[26] 秦长江. 两种方法构建的作者共引知识图谱的比较研究[J]. 情报科学, 2010, 28(10):1558-1564.
[27] 步一, 刘天祎, 黄文彬. 优化传统作者共引分析的研究初探——综合引文发表时间信息的作者共引分析方法[J]. 图书情报知识, 2015, 168(6):89-97.
[28] ZHAO D, Strotmann A. Evolution of research activities and intellectual influences in information science 1996-2005: Introducing author bibliographic-coupling analysis[J]. Journal of the American Society for Information Science & Technology, 2014, 59(13):2070-2086.
[29] 刘金花, 崔金梅. 基于VOSviewer的领域性热门研究主题挖掘[J]. 情报探索, 2016, 220(2):13-16.
[30] YAN Y, SONG Y. Improvement of flood and drought disasters emergency development in Hubei Province[C]//Proceedings of the 2013 International Conference on Information, Business and Eductation Technology(ICIBET 2013), 2013: 736-740.
[31] David GC McCann, Ainsley Moore, Mary-Elizabeth Walker. The water/health nexus in disaster medicine: I. Drought versus flood[J]. Current Opinion in Environmental Sustainability,2011,3(6):480-485.
[32] 金菊良, 张欣莉, 丁晶. 评估洪水灾情等级的投影寻踪模型[J]. 系统工程理论与实践, 2002, 22(2):140-144.
[33] 金菊良, 王银堂, 魏一鸣, 等. 洪水灾害风险管理广义熵智能分析的理论框架[J]. 水科学进展, 2009, 20(6):894-900.
[34] Tingsanchali T. Urban flood disaster management[J]. Procedia Engineering, 2012, 32(3):25-37.
[35] ZHANG Jiquan. Risk assessment of drought disaster in the maize-growing region of Songliao Plain, China[J]. Agriculture, Ecosystems and Environment, 2014, 102(2):133-153.
[36] 金菊良, 郦建强, 周玉良, 等. 旱灾风险评估的初步理论框架[J]. 灾害学, 2014, 29(3):1-10.
[37] Hackenberg M, Gustafson P, Langridge P, et al. Differential expression of microRNAs and other small RNAs in barley between water and drought conditions[J]. Plant Biotechnology Journal, 2015, 13(1):2-13.
[38] ZHU Y, LI L, ZHAO Y, et al. Regional comprehensive drought disaster risk dynamic evaluation based on projection pursuit clustering[J]. Water Policy, 2018, 20(2):401-428.
[39] Sarwar D, Ramachandran M, Hosseinian-Far A. Disaster management system as an element of risk management for natural disaster systems using the PESTLE framework[C]// International Conference on Global Security, Safety, and Sustainability. Springer International Publishing, 2017:191-204.
[40] 王文圣, 金菊良, 李跃清. 基于集对分析的自然灾害风险度综合评价研究[J]. 四川大学学报(工程科学版), 2009, 41(6):6-12.
[41] CHEN C W, CHIANG W L. A novel strategy to determine the insurance and risk control plan for natural disaster risk management[J]. Natural Hazards, 2012, 64(2):1391-1403.
[42] TSENG C P, CHEN C W. A new viewpoint on risk control decision models for natural disasters[J]. Natural Hazards, 2011, 59(3):1715-1733.
[43] Seara T, Clay P M, Colburn L L. Perceived adaptive capacity and natural disasters: A fisheries case study[J]. Global Environmental Change, 2016, 38:49-57.
[44] Theo Schilderman. Adapting traditional shelter for disaster mitigation and reconstruction: experiences with community-based approaches[J]. Building Research & Information, 2004, 32(5):414-426.
[45] XU X, ZHANG W, CHEN X. Social vulnerability assessment of earthquake disaster based on the catastrophe progression method: A Sichuan Province case study[J]. International Journal of Disaster Risk Reduction, 2017, 24:361-372
[46] Noy I. Natural disasters in the Pacific Island Countries: new measurements of impacts[J]. Natural Hazards, 2016, 84(1):7-18.
[47] Baris M E. Effectiveness of Turkish Disaster Management System and Recommendations[J]. Biotechnology & Biotechnological Equipment, 2009, 23(3):1391-1398.
[48] Matsubayashi T, Sawada Y, Ueda M. Natural disasters and suicide: evidence from Japan[J]. Social Science & Medicine, 2013, 82(4):126-133.
[2] 尚志海, 刘希林. 自然灾害风险管理关键问题探讨[J]. 灾害学, 2014, 29(2):158-164.
[3] Smolka A. Natural disasters and the challenge of extreme events: risk management from an insurance perspective[J]. Philosophical Transactions Mathematical Physical & Engineering Sciences, 2006, 364(1845):2147-2165.
[4] WEI L, CHEN H. Emergent management for consumable industry chains after natural disasters[C]// International Conference on Management of E-Commerce and E-Government. IEEE, 2009:301-305.
[5] Wellington J J, Ramesh P. Role of Internet of Things in disaster management[C]// International Conference on Innovations in Information, Embedded and Communication Systems. 2017:1-4.
[6] Hewitt K. Environmental disasters in social context: toward a preventive and precautionary approach[J]. Natural Hazards, 2013, 66(1):3-14.
[7] Nanto D K, Cooper W H, Donnelly J M, et al. Japan’s 2011 Earthquake and Tsunami: Economic Effects and Implications for the United States[C]// Congressional Research Service, Library of Congress, 2011.
[8] ZOU M, YUAN Y. China’s comprehensive disaster reduction[J]. International Journal of Disaster Risk Science, 2010, 1(1):24-32.
[9] 魏一鸣, 袁潇晨, 吴刚, 等. 气候变化风险评估研究现状与热点: 基于Web of Science的文献计量分析[J].中国科学基金, 2014, 28(5):347-356.
[10] 巫丽芸,荷东进,洪伟,等.自然灾害风险评估与灾害易损性研究进展[J].灾害学,2014,29(4):129-135.
[11] 金菊良, 宋占智, 崔毅, 等. 旱灾风险评估与调控关键技术研究进展[J]. 水利学报, 2016, 47(3):398-412.
[12] 张继权, 冈田宪夫, 多多纳裕一. 综合自然灾害风险管理--全面整合的模式与中国的战略选择[J]. 自然灾害学报, 2006, 15(1):29-37.
[13] 史培军, 叶涛, 王静爱, 等. 论自然灾害风险的综合行政管理[J]. 北京师范大学学报(社会科学版), 2006(5):130-136.
[14] Domineyhowes D, Bajorek B, Michael C A, et al. Applying the emergency risk management process to tackle the crisis of antibiotic resistance[J]. Front Microbiol, 2015, 6:927.
[15] LI Y, Lindt J W V D. Loss-based formulation for multiple hazards with application to residential buildings[J]. Engineering Structures, 2012, 38(4):123-133.
[16] Merz B, Friedrich J, Disse M, et al. Possibilities and limitations of interdisciplinary, user-oriented research: Experiences from the German Research Network Natural Disasters[J]. Natural Hazards, 2006, 38(1-2):3-20.
[17] 马保成. 自然灾害风险定义及其表征方法[J]. 灾害学, 2015, 30(3):16-20.
[18] 程先富, 戴梦琴. 洪涝灾害风险研究团队及研究进展的文献计量分析[J]. 安徽师范大学学报(自然科学版), 2017, 40(3):275-281.
[19] VAN ECK N J, WALTMAN L. VOSviewer:A computer program for bibliometric mapping[J]. Scientometrics, 2010, 84(2):523-538.
[20] 高凯. 文献计量分析软件VOSviewer的应用研究[J]. 科技情报开发与经济, 2015, 25(12):95-98.
[21] Nees Jan van Eck, Ludo Waltman,Rommert Dekker, Jan van den Berg. A comparison of two techniques for bibliometric mapping: multidimensional scaling and VOS[J]. Journal of the American Society for Information Science and Technology, 2010, 61(12): 2405-2416.
[22] 侯海燕, 郭芳琪, 孙太安, 等. 基于VOSviewer的山东省生物技术领域国内及国际研究现状分析[J]. 科学与管理, 2018, 38(2):25-33.
[23] 王晓洁. 国外青年脑梗死文献计量学分析[J]. 晋图学刊, 2014, 141(2):72-75.
[24] 杨瑞仙, 张梦君. 作者学术关系研究进展[J]. 图书情报工作, 2016, 60(13):141-148.
[25] 马瑞敏, 邱均平. 基于CSSCI的论文同被引实证计量研究——以图书馆学、情报学为例[J]. 图书情报知识, 2005, 107(5):77-79.
[26] 秦长江. 两种方法构建的作者共引知识图谱的比较研究[J]. 情报科学, 2010, 28(10):1558-1564.
[27] 步一, 刘天祎, 黄文彬. 优化传统作者共引分析的研究初探——综合引文发表时间信息的作者共引分析方法[J]. 图书情报知识, 2015, 168(6):89-97.
[28] ZHAO D, Strotmann A. Evolution of research activities and intellectual influences in information science 1996-2005: Introducing author bibliographic-coupling analysis[J]. Journal of the American Society for Information Science & Technology, 2014, 59(13):2070-2086.
[29] 刘金花, 崔金梅. 基于VOSviewer的领域性热门研究主题挖掘[J]. 情报探索, 2016, 220(2):13-16.
[30] YAN Y, SONG Y. Improvement of flood and drought disasters emergency development in Hubei Province[C]//Proceedings of the 2013 International Conference on Information, Business and Eductation Technology(ICIBET 2013), 2013: 736-740.
[31] David GC McCann, Ainsley Moore, Mary-Elizabeth Walker. The water/health nexus in disaster medicine: I. Drought versus flood[J]. Current Opinion in Environmental Sustainability,2011,3(6):480-485.
[32] 金菊良, 张欣莉, 丁晶. 评估洪水灾情等级的投影寻踪模型[J]. 系统工程理论与实践, 2002, 22(2):140-144.
[33] 金菊良, 王银堂, 魏一鸣, 等. 洪水灾害风险管理广义熵智能分析的理论框架[J]. 水科学进展, 2009, 20(6):894-900.
[34] Tingsanchali T. Urban flood disaster management[J]. Procedia Engineering, 2012, 32(3):25-37.
[35] ZHANG Jiquan. Risk assessment of drought disaster in the maize-growing region of Songliao Plain, China[J]. Agriculture, Ecosystems and Environment, 2014, 102(2):133-153.
[36] 金菊良, 郦建强, 周玉良, 等. 旱灾风险评估的初步理论框架[J]. 灾害学, 2014, 29(3):1-10.
[37] Hackenberg M, Gustafson P, Langridge P, et al. Differential expression of microRNAs and other small RNAs in barley between water and drought conditions[J]. Plant Biotechnology Journal, 2015, 13(1):2-13.
[38] ZHU Y, LI L, ZHAO Y, et al. Regional comprehensive drought disaster risk dynamic evaluation based on projection pursuit clustering[J]. Water Policy, 2018, 20(2):401-428.
[39] Sarwar D, Ramachandran M, Hosseinian-Far A. Disaster management system as an element of risk management for natural disaster systems using the PESTLE framework[C]// International Conference on Global Security, Safety, and Sustainability. Springer International Publishing, 2017:191-204.
[40] 王文圣, 金菊良, 李跃清. 基于集对分析的自然灾害风险度综合评价研究[J]. 四川大学学报(工程科学版), 2009, 41(6):6-12.
[41] CHEN C W, CHIANG W L. A novel strategy to determine the insurance and risk control plan for natural disaster risk management[J]. Natural Hazards, 2012, 64(2):1391-1403.
[42] TSENG C P, CHEN C W. A new viewpoint on risk control decision models for natural disasters[J]. Natural Hazards, 2011, 59(3):1715-1733.
[43] Seara T, Clay P M, Colburn L L. Perceived adaptive capacity and natural disasters: A fisheries case study[J]. Global Environmental Change, 2016, 38:49-57.
[44] Theo Schilderman. Adapting traditional shelter for disaster mitigation and reconstruction: experiences with community-based approaches[J]. Building Research & Information, 2004, 32(5):414-426.
[45] XU X, ZHANG W, CHEN X. Social vulnerability assessment of earthquake disaster based on the catastrophe progression method: A Sichuan Province case study[J]. International Journal of Disaster Risk Reduction, 2017, 24:361-372
[46] Noy I. Natural disasters in the Pacific Island Countries: new measurements of impacts[J]. Natural Hazards, 2016, 84(1):7-18.
[47] Baris M E. Effectiveness of Turkish Disaster Management System and Recommendations[J]. Biotechnology & Biotechnological Equipment, 2009, 23(3):1391-1398.
[48] Matsubayashi T, Sawada Y, Ueda M. Natural disasters and suicide: evidence from Japan[J]. Social Science & Medicine, 2013, 82(4):126-133.