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Bibliometric Analysis of Transport Infrastructure Hypernetwork: Review and Prospects.

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Title: Bibliometric Analysis of Transport Infrastructure Hypernetwork: Review and Prospects.
Authors: Shao, Zhiguo1,2 (AUTHOR), Wang, Fei1 (AUTHOR) 202323071067@stu.qut.edu.cn, Li, Mengdi3 (AUTHOR), Li, Cui2 (AUTHOR), You, Linlin (AUTHOR) youllin@mail.sysu.edu.cn
Source: Journal of Advanced Transportation. 6/30/2026, Vol. 2026, p1-16. 16p.
Subjects: Bibliometrics, Multiagent systems, Sustainable development, Disaster resilience, Trajectory measurements, Infrastructure (Economics), Multisensor data fusion
Abstract: The transport infrastructure is transitioning into a multilayer, multifunctional hypernetwork form, posing challenges to traditional single‐mode planning methods in analyzing cross‐system risk transmission mechanisms and achieving spatiotemporal resource optimization. This leads to suboptimal system synergy and resilience. By examining articles on TIH research from 2002 to 2025 in the Web of Science core database, this study utilizes VOSviewer and CiteSpace bibliometric analysis software to visualize annual publication volumes, countries, journals, authors, institutions, keywords, and cocitations. It identifies hotspots and trends in TIH research across time and space dimensions. While research on the TIH commenced early, significant growth occurred only in the past 5 years. Current research predominantly focuses on multiagent trajectory prediction, cross‐modal fusion, and resilient multilayer networks. The knowledge structure analysis presented in this study elucidates the evolution of knowledge and frontier breakthroughs in TIH research, offering insights to scholars in the field. This empirical evidence supports multimode collaborative modeling, intelligent resilience technology development, and policy formulation to enhance the operational efficiency and disaster response capabilities of hypernetwork systems. This study advocates for theoretical innovation to support the sustainable development of infrastructure in alignment with carbon‐neutral goals. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Advanced Transportation is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: The transport infrastructure is transitioning into a multilayer, multifunctional hypernetwork form, posing challenges to traditional single‐mode planning methods in analyzing cross‐system risk transmission mechanisms and achieving spatiotemporal resource optimization. This leads to suboptimal system synergy and resilience. By examining articles on TIH research from 2002 to 2025 in the Web of Science core database, this study utilizes VOSviewer and CiteSpace bibliometric analysis software to visualize annual publication volumes, countries, journals, authors, institutions, keywords, and cocitations. It identifies hotspots and trends in TIH research across time and space dimensions. While research on the TIH commenced early, significant growth occurred only in the past 5 years. Current research predominantly focuses on multiagent trajectory prediction, cross‐modal fusion, and resilient multilayer networks. The knowledge structure analysis presented in this study elucidates the evolution of knowledge and frontier breakthroughs in TIH research, offering insights to scholars in the field. This empirical evidence supports multimode collaborative modeling, intelligent resilience technology development, and policy formulation to enhance the operational efficiency and disaster response capabilities of hypernetwork systems. This study advocates for theoretical innovation to support the sustainable development of infrastructure in alignment with carbon‐neutral goals. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Advanced Transportation is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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        Value: 10.1155/atr/1332400
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      – Code: eng
        Text: English
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        PageCount: 16
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      – SubjectFull: Bibliometrics
        Type: general
      – SubjectFull: Multiagent systems
        Type: general
      – SubjectFull: Sustainable development
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      – SubjectFull: Disaster resilience
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      – SubjectFull: Trajectory measurements
        Type: general
      – SubjectFull: Infrastructure (Economics)
        Type: general
      – SubjectFull: Multisensor data fusion
        Type: general
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      – TitleFull: Bibliometric Analysis of Transport Infrastructure Hypernetwork: Review and Prospects.
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            NameFull: Shao, Zhiguo
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            NameFull: Wang, Fei
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            NameFull: Li, Mengdi
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            NameFull: Li, Cui
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            NameFull: You, Linlin
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            – D: 30
              M: 06
              Text: 6/30/2026
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              Y: 2026
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              Value: 2026
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