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作 者:张晶晶[1] 李海凌[1] 张怀 Jingjing Zhang;Hailing Li;Huai Zhang(School of Architecture and Civil Engineering,Xihua University,610039,China;Key Laboratory of Computational Geodynamics,University of Chinese Academy of Sciences,100049,China;Beijing Yanshan Earth Critical Zone National Research Station,University of Chinese Academy of Sciences,101408,China)
机构地区:[1]西华大学建筑与土木工程学院,四川省成都市610039 [2]中国科学院大学地球与行星科学学院计算地球动力学重点实验室,北京市100049 [3]中国科学院大学北京燕山地球关键带国家野外科学观测研究站,北京市101408
出 处:《建筑工程(中英文版)》2023年第1期1-8,共8页Architectural Engineering
基 金:日本应急管理研究中心省部级学科平台西华大学开放课题支持资助(RBYJ2021-002);国家杰出青年科学基金支持资助(41725017);科技部国家重点研发计划重点项目支持资助(2020YFA0713400);教育部“春晖计划”合作科研项目支持资助(HZKY20220579);四川省哲学社会科学重点研究基地彝族文化研究中心资助项目支持资助(YZWH2308)。
摘 要:根据CNKI数据统计分析国内地震应急避难场所研究的文献分布,再基于CiteSpace对该部分文献数据的主要研究机构、领域分布与研究热点进行分析。分析结果表明:近22年来国内地震应急避难场所研究领域总体结构上受地震灾害驱动较为突出,学术关注度持续稳步提升,但相关研究机构分布区域的发展相对不均衡;研究主题集中于城市防震减灾规划建设、应急管理体系以及应急能力与评估等方面,目前不同学科领域之间的合作较少,跨学科的综合性研究趋势尚未形成,多学科研究方法融合的大数据分析还有待提升。According to CNKI data,the literature distribution of domestic earthquake emergency shelter research is analyzed,and then the main research institutions,field distribution and research hotspots of this part of literature data are analyzed based on CiteSpace.The results of the analysis show that the overall structure of the research field of earthquake emergency shelters in China has been driven by earthquake disasters in the past 22 years,and the academic attention has been steadily increasing,but the development of relevant research institutions is relatively uneven in terms of regional distribution;the research topics are focused on urban earthquake disaster prevention and mitigation planning and construction,emergency management systems,and emergency response capacity and evaluation,etc.At present,there is less cooperation between different disciplines and the trend of interdisciplinary and comprehensive research has not yet formed.The trend of interdisciplinary and comprehensive research has not yet been formed,and the integration of multidisciplinary research methods for big data analysis still needs to be improved.
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