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隧道建设(中英文) ›› 2026, Vol. 46 ›› Issue (5): 919-934.DOI: 10.3973/j.issn.2096-4498.2026.05.002

• 综述 • 上一篇    下一篇

基于社会网络分析的我国盾构领域合作创新演变及热点趋势

徐进1, 2, 张一涵1, 2, 方勇3, 4, 王士民3, 4, 刘四进5   

  1. (1. 西南交通大学信息系统与运营管理系, 四川 成都 610031; 2. 西南交通大学 综合交通大数据应用技术国家工程实验室, 四川 成都 611756; 3. 西南交通大学土木工程学院, 四川 成都 610031; 4. 西南交通大学 交通隧道工程教育部重点实验室, 四川 成都 610031; 5. 中铁十四局集团有限公司, 山东 济南 250101)
  • 出版日期:2026-05-20 发布日期:2026-05-27
  • 作者简介:徐进(1978—),男,四川乐山人,2015年毕业于西南交通大学,管理科学与工程专业,博士,教授,主要从事人工智能、大数据、工程管理等研究工作。E-mail: xj_james@163.com。

Evolution of Collaborative Innovation and Hotspot Trends in China’s Shield Tunneling Field Based on Social Network Analysis

XU Jin1, 2, ZHANG Yihan1, 2, FANG Yong3, 4, WANG Shimin3, 4, LIU Sijin5   

  1. (1. Department of Information System & Operation Management, Southwest Jiaotong University, Chengdu 610031, Sichuan, China; 2. National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Southwest Jiaotong University, Chengdu 611756, Sichuan, China; 3. School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, Sichuan, China; 4. Key Laboratory of Transportation Tunnel Engineering, the Ministry of Education, Southwest Jiaotong University, Chengdu 610031, Sichuan, China; 5. China Railway 14th Bureau Group Co., Ltd., Jinan 250101, Shandong, China)
  • Online:2026-05-20 Published:2026-05-27

摘要: 为厘清近年来国内盾构领域的研究发展变化,利用社会网络对CNKI中收录的2008—2024年的核心期刊文献进行分析。按时间顺序分析盾构领域研究合作网络结构的演变;以重大事件为里程碑划分阶段分析核心创新组织的变化;以关键词聚类对研究热点进行统计分析;以关键词突现对未来趋势进行展望。结果表明: 1)从研究合作网络结构看,网络规模不断扩大,演化出一种依赖关键枢纽的稀疏化小世界结构; 2)从核心组织角度看,以同济大学、西南交通大学等为代表的学术型组织及以中铁隧道局集团有限公司、上海隧道工程股份有限公司等为代表的工程型组织处于关键枢纽的规模不断扩张,且核心群体中企业的数量及占比不断增大,双循环创新组织模式逐渐形成,盾构领域的知识创新开始从基础理论研究向实践应用开发进行转变; 3)可视化聚类结果得出目前盾构领域在智能装备以及施工控制的基础上,聚焦于智能化协同、复杂与极端环境下的适应性、高性能材料及绿色安全等核心议题; 4)关键词突现结果在一定程度上反映出,复杂环境下的施工控制精细化、绿色安全强化以及盾构智能决策等方向值得持续关注。

关键词: 盾构, 合作网络, 演化分析, 文献计量, 前沿热点

Abstract:

To elucidate the recent advancements in the domain of shield tunneling in China, an analysis of the core journals from 2008 to 2024, as included in CNKI, was conducted using social network methods. This analysis of the evolution of the research cooperation network structure in the field of shield tunneling is conducted from a chronological standpoint. The changes in the core innovation organization are analyzed with respect to the stages that are divided by major events, which function as milestones. A statistical analysis of research hotspots is carried out based on keyword clusters. Prospective future trends are identified through the analysis of keyword emergence. The results of the study indicate the following: (1) With respect to the research cooperation network structure, the network scale is undergoing constant expansion, evolving into a sparse small-world structure dependent on key hubs. (2) With respect to core organizations, the scale of academic organizations, such as Tongji University and Southwest Jiaotong University, as well as engineering organizations, which include China Railway Tunnel Group Co., Ltd. and Shanghai Tunnel Engineering Co., Ltd., that are situated at the key hubs, is undergoing constant expansion. The number and proportion of enterprises in the core group are also increasing. The dual-circulation innovation organization model is gradually taking shape, and knowledge innovation in the field of shield tunneling is beginning to shift from basic theoretical research to its application in practice. (3) The visualization of clustering results indicates that the current shield tunneling field, based on intelligent equipment and construction control, focuses on core issues such as intelligent collaboration, adaptability in complex and extreme environments, high-performance materials, and green safety. (4) The emergence of keywords serves to underscore the ongoing significance of directions such as refined construction control in complex environments, enhanced green safety, and intelligent decision-making in shield tunneling.

Key words: shield tunneling, cooperation networks, evolution analysis, bibliometric analysis, research hotspots and frontiers