在灾害管理中利用人工智能:全面的文献统计审查
Arief Wibowo1, Ikhwan Amri2, Asep Surahmat3
1Department of Computer Science, Faculty of Information Technology, Universitas Budi Luhur, Jakarta, Indonesia.
Jamba (Potchefstroom, South Africa)
|May 13, 2025
概括
人工智能 (AI) 正在迅速推进灾害管理,研究每年增长15.61%. 关键应用包括基于人工智能的地理空间技术和用于降低风险的机器学习.
科学领域:
- 环境科学 环境科学
- 计算机科学 计算机科学
- 信息科学 信息科学 信息科学
背景情况:
- 全球自然灾害风险正在增加,需要改进灾害管理策略.
- 人工智能 (AI) 具有显著的潜力,可以提高灾害管理的有效性和效率.
研究的目的:
- 通过使用Scopus数据库对灾难管理中的AI应用进行文献统计审查.
- 为了确定趋势,研究热点和人工智能的知识差距,用于自然灾害管理.
主要方法:
- 从Scopus数据库中对848篇出版物的图书统计分析.
- 使用VOSviewer和Biblioshiny进行趋势分析和科学映射.
- 根据自然灾害范围,期刊/会议来源,文章/论文/评论文档类型以及英语语言的基础上选择的出版物.
主要成果:
- 在灾难管理人工智能研究中,观察到15.61%的显著年增长率.
- 摄影测量,遥感和空间信息科学国际档案馆 - - ISPRS档案馆是主要的来源.
- 中国在生产率方面领先,而美国获得了最多的引用. 确定了六个关键研究集群.
结论:
- 人工智能技术是灾难管理的一个快速增长的领域,具有多样化的应用.
- 确定的研究集群突出了诸如物联网监控,地理空间技术,决策支持系统,社交媒体分析,机器学习和大数据/深度学习等关键领域.
- 这种映射为人工智能驱动的灾难管理未来的研究和开发提供了宝贵的见解.
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