采用文献计量法的路基病害研究变化与热点分析——基于CiteSpace

Research Changes and Hot Spot Analysis of Roadbed Disease by Using Bibliometric Method—Based on CiteSpace

摘要: 本文借助CiteSpace可视化软件，基于CNKI数据库，收集2000~2023年期间路基病害研究相关的351条文献，分析发文量、国家(地区)、机构和作者合作网络、关键词共现、聚类、突现词等情况，得出结果：1) 路基病害研究领域发文量呈现出上升–波动–发展趋势，2008年之前发展较快，2011年之后保持平稳发展态势，近几年发文量有所下滑。2) 领域内作者众多，但大多各自分散研究，核心作者发文数量不足，未形成核心作者群。研究机构发展类似，研究机构大多为有实际工程需求的企业与相关高校，各机构间缺乏跨地区的交流研究，建议加强作者与机构的合作研究。3) 路基病害的整治措施一直是领域内流行的研究方向，同时近几年基建发展，对于在多年冻土区、盐渍土及山区公路铁路的路基病害研究逐渐成为研究热点，许多学者开始将新的无损检测手段与图像识别等人工智能技术结合，应用于上述场景中的路基病害识别与风险评估。本文对国内路基病害研究近二十余年来发展变化进行梳理，旨在为后续学者对路基病害相关研究的突破和创新提供参考依据。

Abstract: With the help of CiteSpace visualization software and CNKI database, this paper collected 351 literatures related to roadbed disease research during 2000~2023, analyzed the number of publications, countries (regions), cooperation networks between institutions and authors, keyword co-occurrence, clustering, and emergent words, and obtained the results: 1) The number of published papers in the field of subgrade disease research presents a rising-fluctuating-developing trend, which developed rapidly before 2008 and maintained a stable development trend after 2011, and the number of published papers has declined in recent years. 2) There are many authors in the field, but most of them are scattered, the number of published papers by core authors is insufficient, and no core author group has been formed. Similar to the development of research institutions, most of the research institutions are enterprises and related universities with practical engineering needs, and there is a lack of cross-regional exchange and research among various institutions. It is suggested to strengthen the cooperative research between authors and institutions. 3) Rectification measures for roadbed diseases have always been a popular research direction in the field. Meanwhile, with the development of infrastructure in recent years, research on roadbed diseases of roads and railways in permafrost areas, saline soil and mountainous areas has gradually become a research hotspot. Many scholars have begun to combine new non-destructive testing methods with artificial intelligence technologies such as image recognition. Subgrade disease identification and risk assessment applied in the above scenario. This paper reviews the development and changes of dam failure mechanism research at home and abroad in the past 20 years, aiming to provide reference for subsequent scholars’ breakthrough and innovation in roadbed disease related research.