智慧应急概念梳理及国内文献研究热点与趋势分析

Hotspots and development trends of smart emergency response:domestic literature research

目的本研究对智慧应急的相关概念进行了梳理,提出了对智慧应急内涵的理解。运用文献计量学工具对智慧应急研究领域的研究现状进行可视化分析,分析智慧应急研究领域的热点内容和发展趋势,为未来的研究提供参考建议。方法运用文献分析法了解智慧应急的相关内涵。运用Citespace文献计量分析工具对2003年至2023年间的智慧应急相关领域文章进行了可视化呈现。结果研究热点趋势方面呈现出应急管理研究方向转向应用技术手段打造智能化、数字化的应急管理方式,其次应急管理研究逐渐改变了"重处置轻预防"的管理模式,研究方向也呈现出"关口前移"的趋势。"人工智能"、"物联网"、"数字孪生"、"智慧应急"、"韧性城市"可能成为今后的研究热点与方向。结论我国学者应持续聚焦突发事件应急管理关键研究领域,持续探索智慧应急管理实践问题背后的科学问题并展开深入研究,例如加强对实践过程和效果的研究测度、开发科学的测评工具;且随着智慧应急管理的实践发展,对关注此领域学者提出了新的挑战,学者们应强化研究能力和知识结构。

Objective To sort out the relevant concepts of smart emergency response and put forward an understanding of the connotation of it by using the bibliometric tools to visually analyze the research hotspots and development trends in the field for further studies.Methods Literature analysis was used to understand the relevant connotation of smart emergency response.Citespace bibliometric analysis was carried out to visualize the articles in the field of smart emergency response from 2003 to 2023.Results Emergency management research direction turned to the application of technical means to build the intelligent and digital emergency management model and gradually changed the management mode of"pay more attention to disposal than to prevention",and it also showed a trend of"moving forward the gateway"."Artificial intelligence","internet of things","digital twin","smart emergency response"and"resilient cities"might become the research hotspots and development trends in the future.Conclusion Chinese scholars should continue to focus on the key research areas of emergency management,to explore the scientific issues behind the practical problems of intelligent emergency management and to carry out in-depth studies,such as strengthening the measurement of practical processes and effects,and developing scientific evaluation tools.Moreover,with the practical development of intelligent emergency management,new challenges have been put forward for us.Therefore,our research ability and knowledge structure should be enhanced.