A Visualization Study of Highway Investment Based on Network Analysis
Auteur(s): |
Xiangyu Cui
Qixun Zhou Huajin Wang Ke Feng Zezhou Wu Yongning Niu |
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Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Buildings, 26 octobre 2023, n. 11, v. 13 |
Page(s): | 2758 |
DOI: | 10.3390/buildings13112758 |
Abstrait: |
The proportion of highways in infrastructure investment is growing and playing a significant role. It has many advantages in all aspects of social life and has become a timely subject of recent research. However, the existing literature lacks a systematic review of the current research status of highway investment. Thus, this study aims to conduct a scientometric analysis of the existing literature on highway investment to provide an overview of its current state of research. Using the Web of Science Core Collection database, this study conducted searches and screenings of 614 documents related to highway investment from 2013 to 2023. Subsequently, VOSviewer software was employed to perform a visual analysis of source journals, authors, countries/regions, article citations, and keywords. The results reveal that Transportation Research Record is identified as the most influential journal in the field of highway investment. Bullock, Darcy M. has published the greatest number of articles. In addition, the United States has published the largest number of studies and contributed significantly to the advancement of highway investment. Benjamin Faber has received the highest number of citations and normalized citations. Through co-occurring keywords analysis, keywords such as “risk”, “influence”, “investment decision”, and “infrastructure investment” receive more attention. The findings of this research can contribute to providing researchers and scholars with a more comprehensive understanding of the current research status of highway investment and its key issues. |
Copyright: | © 2023 by the authors; licensee MDPI, Basel, Switzerland. |
License: | Cette oeuvre a été publiée sous la license Creative Commons Attribution 4.0 (CC-BY 4.0). Il est autorisé de partager et adapter l'oeuvre tant que l'auteur est crédité et la license est indiquée (avec le lien ci-dessus). Vous devez aussi indiquer si des changements on été fait vis-à-vis de l'original. |
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10753385 - Publié(e) le:
14.01.2024 - Modifié(e) le:
07.02.2024