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国际自然灾害风险研究的进展与演进--基于文献计量与主题演进的分析
引用本文:姜卉,李天.国际自然灾害风险研究的进展与演进--基于文献计量与主题演进的分析[J].科技促进发展,2023,19(3):173-181.
作者姓名:姜卉  李天
摘    要:全球范围自然灾害频发,灾损不断加重。对自然灾害与风险相关的文献进行梳理与回顾,有助于聚焦相关领域研究核心,挖掘演变趋势,把握研究方向。本研究使用文献计量软件Citespace,对Web of Science数据库中2010年至2022年13年中自然灾害事件与风险交叉领域共6817篇文献进行统计分析、期刊发表分析、关键词演化分析、关键词突发性检测与文献共被引分析。研究发现,利用可视化、机器学习、聚类分析和预测模型等信息技术研究经济、社会脆弱性和韧性逐渐成为领域新兴研究趋势;领域研究方向从2010年前后对自然灾害的因素分析转向2020年前后对灾害造成的经济、社会和文化影响进行评估。

关 键 词:自然灾害  风险  文献计量  主题演进路径
收稿时间:2023/2/19 0:00:00
修稿时间:2023/3/2 0:00:00

Progress and Evolution of International Natural Disaster and Risk Research: An analysis Based on Abstract Extraction and Bibliometrics
JIANG Hui and LI Tian.Progress and Evolution of International Natural Disaster and Risk Research: An analysis Based on Abstract Extraction and Bibliometrics[J].Science & Technology for Development,2023,19(3):173-181.
Authors:JIANG Hui and LI Tian
Abstract:Natural disasters occur frequently all over the world, causing more and more serious losses. Combing and reviewing the literature related to natural disasters and risks will help to explore the research core of relevant fields, tap the evolution trend and grasp the research direction. This study used CiteSpace to carry out statistical analysis, journal publication analysis, keyword evolution analysis, keyword burst detection and document co-citation analysis on 6817 documents in the field of natural disaster risk in the Web of Science database from 2010 to 2022. It is found that the use of information technology such as visualization, machine learning, clustering analysis, and prediction models to study economic, social vulnerability and resilience has gradually become a new trend; The research direction has gradually shifted from the analysis of natural disaster factors around 2010 to the assessment of economic, social and cultural impact caused by disasters around 2020.
Keywords:Natural Disaster  Risk  Bibliometric  Topic evolution path
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