Earthquakes are major catastrophes that cause great life and economic losses to human society and environment.This paper reviews and synthesizes relevant studies,drawing from a systematic examination of 4229 articles ...Earthquakes are major catastrophes that cause great life and economic losses to human society and environment.This paper reviews and synthesizes relevant studies,drawing from a systematic examination of 4229 articles from the Web of Science core collection(1982-2023).Employing the CiteSpace visualization and analysis tool,current research and emerging trends in seismic risk assessment are discussed and analyzed.This paper provides a holistic overview of principal contributions,knowledge sources,interdisciplinary characteristics,and principal research topics in this field.Additionally,we propose key technologies that are in urgent need of enhancement,including data availability,quantity and quality of data,interpretability of machine learning models,perfor-mance improvement of machine learning methods and application of foundation models,as well as real-time risk assessment techniques.These insights support both theoretical understanding and practical applications of seismic risk assessment and damage analysis.展开更多
基金Funded by National Natural Science Foundation of China(No.72174102,No.72334003,No.72174099)Major Consulting Project of Chinese Academy of Engineering(No.2024-XBZD-21)High-tech Discipline Construction Fundings for Universities in Beijing(Safety Science and Engineering).
文摘Earthquakes are major catastrophes that cause great life and economic losses to human society and environment.This paper reviews and synthesizes relevant studies,drawing from a systematic examination of 4229 articles from the Web of Science core collection(1982-2023).Employing the CiteSpace visualization and analysis tool,current research and emerging trends in seismic risk assessment are discussed and analyzed.This paper provides a holistic overview of principal contributions,knowledge sources,interdisciplinary characteristics,and principal research topics in this field.Additionally,we propose key technologies that are in urgent need of enhancement,including data availability,quantity and quality of data,interpretability of machine learning models,perfor-mance improvement of machine learning methods and application of foundation models,as well as real-time risk assessment techniques.These insights support both theoretical understanding and practical applications of seismic risk assessment and damage analysis.
