中国安全科学学报 ›› 2025, Vol. 35 ›› Issue (10): 24-35.doi: 10.16265/j.cnki.issn1003-3033.2025.10.0588

• 安全社会科学与安全管理 • 上一篇    下一篇

建设工程安全风险管理领域案例推理应用研究综述

夏妮妮(), 许淦*()   

  1. 东南大学 土木工程学院,江苏 南京 211189
  • 收稿日期:2025-05-06 修回日期:2025-07-12 出版日期:2025-10-28
  • 通信作者:
    **许淦(2000—),女,湖南岳阳人,硕士,主要从事职业健康安全、国际外派管理等方面的研究。E-mail:
  • 作者简介:

    夏妮妮 (1988—),女,江苏连云港人,博士,副教授,主要从事职业健康安全、国际外派管理、项目利益相关者管理等方面的研究。E-mail:

  • 基金资助:
    国家自然科学基金资助(72002030)

Literature review on application of case-based reasoning in construction project safety risk management

XIA Nini(), XU Gan*()   

  1. School of Civil Engineering, Southeast University, Nanjing Jiangsu 211189, China
  • Received:2025-05-06 Revised:2025-07-12 Published:2025-10-28

摘要: 案例推理(CBR)技术能有效解决安全风险管理中要素不明确的问题,为系统归纳CBR在建设工程安全风险管理中的应用研究现状及未来研究方向,基于45篇中文文献、50篇英文文献,采用文献计量法与内容分析法进行系统综述。结果表明:文献数量总体呈现波动上升并趋于平稳的态势,覆盖环境科学、计算机科学等多学科领域,关键学者合作主题中共性和差异并存,其中中国发文量居于首位,研究主题经历了由知识建构与方法探索逐步迈向集成与智能融合的演进过程;CBR已广泛用于安全风险识别、分析与评估、应对以及知识管理,但在控制对象、应用场景、知识管理、数据和工作流程等方面仍存在局限。未来研究可聚焦扩展控制对象、构建全过程管理应用场景、构建知识协同管理机制、融合多源异构数据,以及改进工作流程,以推动建设工程智能化安全风险管理发展。

关键词: 建设工程, 安全风险管理, 案例推理(CBR), 知识管理, 智能化

Abstract:

CBR can effectively address the issue of unclear elements in safety risk management. However, existing research lacks systematic reviews of its application status and development trends. To systematically summarize the current state of research on the application of CBR in construction safety risk management and to identify future research directions, this paper comprehensively reviewed 45 Chinese and 50 English papers, employing bibliometric analysis and content analysis. The results show that the number of publications shows a fluctuating upward trend and tends to stabilize, spanning multiple disciplines such as environmental science and computer science. Key scholars demonstrate both commonalities and differences in collaboration themes, with China ranking first in publication volume. The research themes have evolved from knowledge construction and methodological exploration toward integration and intelligent convergence. CBR has been widely applied in safety risk identification, analysis and assessment, response, and knowledge management, yet limitations remain regarding control targets, application scenarios, knowledge management, data integration, and workflow optimization. Future research should focus on expanding control targets, developing whole-process management scenarios, establishing collaborative knowledge management mechanisms, integrating multi-source heterogeneous data, and improving workflows to advance the development of intelligent safety risk management in construction projects.

Key words: construction projects, safety risk management, case-based reasoning (CBR), knowledge management, intelligentization

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