中国地震灾害救援研究的可视化计量分析与展望——基于CiteSpace知识图谱
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1.中国刑事警察学院, 辽宁 沈阳 110854 ; 2.甘肃省地震局, 甘肃 兰州 730000

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X91;D632.5

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Visual bibliometric analysis and prospects of research on earthquake disaster rescue in China:a knowledge mapping study based on CiteSpace
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1.Criminal Investigation Police University of China, Shenyang 110854 , Liaoning, China ;2.Gansu Earthquake Agency, Lanzhou 730000 , Gansu, China

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    摘要:

    国内地震灾害救援研究已取得显著进展,但对其发展脉络与趋势的系统性分析仍显不足。基于CNKI收录的中文核心期刊、CSSCI和CSCD来源期刊中2001—2024年间发表的499篇地震救援相关文献,运用CiteSpace软件进行知识图谱分析。研究结果表明:(1)时序上,国内地震救援研究呈现三阶段演进特征,即酝酿发展期(2001—2007年)、快速爆发期(2008—2016年)和深化发展期(2017—2024年);(2)空间上,核心作者呈现出“局部集聚、全域分散”特征,研究机构则表现出显著的专业优势,但综合协作不足;(3)研究主题聚焦于地震救援场景基础性研究、灾后救援方法应用研究及中国特色地震救援体系构建,智能化、物联网等新兴技术逐渐成为研究前沿。基于此,未来研究需强化跨学科、跨领域的理论融合,完善救援场景分类与应急响应机制研究;同时加强中国特色地震救援模式研究,拓展其国际学术影响力并提升国际话语权,从而系统性提升灾害治理的科技支撑能力。

    Abstract:

    Research on earthquake disaster rescue in China has made significant progress; however, systematic analysis of its developmental trajectory and emerging trends remains inadequate. This study uses 499 papers on earthquake rescue sourced from CNKI core journals, CSSCI, and CSCD published between 2001 and 2024 to conduct a knowledge mapping analysis using CiteSpace. Key findings are as follows: (1) Temporally, the research evolves through three phases—an incubation stage (2001—2007), a rapid expansion stage (2008—2016), and a deepening development stage (2017—2024); (2) Spatially, core authors demonstrate “local clustering with nationwide dispersion,” while research institutions exhibit strong specialization but insufficient interdisciplinary collaboration; (3) Research themes concentrate on basic studies of rescue scenarios, applied methodologies for post-disaster response, and the development of characteristic Chinese rescue systems, with emerging technologies becoming frontier topics. Future research should strengthen interdisciplinary theoretical integration, refine scenario classification and emergency response mechanisms, extend studies on China-specific rescue models with enhanced global academic impact, and deepen international discourse power, thereby systematically advancing scientific support capabilities for disaster governance.

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李文渊,冯博.中国地震灾害救援研究的可视化计量分析与展望——基于CiteSpace知识图谱[J].地震工程学报,2025,47(6):1435-1446. DOI:10.20000/j.1000-0844.20250318003

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  • 在线发布日期: 2025-09-29
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