It is noticeable that spillover effects of transportation infrastructure include some dependent sub-categories, such as spatial, regional, economic and environmental effects. These more macro keywords indicate the complexity of impact mechanisms. In addition, transportation infrastructure has huge impacts on land, urban development, human life and city networks. However, there are also some limitations that need further improvement in this study. A limitation of using bibliographic databases is that the WOS lacks the information of books and reports in public sources, thus necessitating the integration of multiple data resources.
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Additionally, the determination of search keywords mainly relies on the subjective judgment of the authors, which might lead to data being missing or incomplete. Given these limitations, multiple analysis was exerted in this work to make up for the data limitations. In this study, the titles, keywords and abstracts could be credibly representative of the main context.
Our findings not only reveal research trends, but future research directions. In the future, two directions—integrated study of various spillover effects and network effects of mega transportation infrastructures such as railway and road—will be valuable research issues.
By conducting further research in these directions, an improved understanding of the significance of the transportation infrastructure will be obtained, and the planning of transport networks will be conducted under proper advice. In conclusion, this study provides valuable information for both researchers and practitioners to understand the significant and complex impact of transportation infrastructure.
It is clear that in both technological issues and management issues, the impact assessment is the key step to justifying the research in the field of transportation infrastructure.
This scientometric review will lead to the construction of a theoretical framework to guide this practice. Luqi Wang and Xiaolong Xue contributed to the conceptualization and methodology. Luqi Wang and Zebin Zhao analyzed the data and results. Luqi Wang and Zeyu Wang wrote and edited the draft. Xiaolong Xue and Zebin Zhao contributed to the project administration and funding acquisition. National Center for Biotechnology Information , U.
Published online Jun 5. Find articles by Luqi Wang. Find articles by Zebin Zhao. Author information Article notes Copyright and License information Disclaimer. Received Apr 13; Accepted May Abstract Transportation infrastructure has an enormous impact on sustainable development. Keywords: transportation infrastructure, sustainable development, scientometric analysis, visual analysis, collaboration network. Introduction Transportation infrastructure, as a complex network, connects cities and accommodates human activities coupling the social, economic and environmental systems with the urbanization and population growth.
Transportation Infrastructure 2. The Definition and Characteristics of Transportation Infrastructure As one of the main urban elements, transportation infrastructures such as roads, highways, railways, airports, bridges, waterways, canals and terminals play important roles in the transmission of materials and the flow of population during urban agglomeration and diffusion [ 16 , 17 , 18 ]. The Multiple Impact of Transportation Infrastructure The transportation infrastructure represents the motivator of economic growth and social welfare [ 23 ] through improving production performances and investment performances for the private sectors [ 24 ].
Data Overview The Web of Science WOS database was used to collect published literature data related to the transportation infrastructure. Open in a separate window. Figure 1. The top 20 research fields of the transportation infrastructure. Table 1 Top highly cited research categories. Figure 2. The number of articles on impact of transportation infrastructure. Scientometric Method Scientometric analysis is a systematic method to identify and analyze the published literature, and it has become increasingly frequently used to obtain a deeper understanding of a research area [ 51 ].
From mine to coast: Transport infrastructure and the direction of trade in developing countries
Figure 3. Results and Discussion 4. Co-Authorship Analysis According to the author collaboration analysis, the domain authors have a relatively large number of links to other authors in the network, which means the domain authors have higher academic relevance [ 56 ]. Figure 4. Table 2 Top ten most productive authors. Figure 5. Figure 6. Discipline Analysis Every citation and cited work was assigned to a specific research discipline according to the journals in a global map of science generated from over 10, journals indexed in the WOS [ 58 ].
Figure 7. Figure 8. Co-Occurring Keyword Analysis Keywords catch the core content of a paper, and in this section, the collected keywords show the situation and development of research using the software CiteSpace. Figure 9. Co-Citation Analysis Co-citation analysis has been defined as the frequency with which two articles are cited together in another article [ 59 ]. Figure Table 3 Temporal properties of the major 6 clusters. Hierarchy Analysis of Key Concepts The co-citation network above was divided into co-citation clusters.
Conclusions This scientometric review based on over publications from to presented the systematic knowledge structure related to impacts of transportation infrastructure on sustainable development. A cost-benefit analysis of the case of seville.
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Some evidence from Europe and China. Appendix C. Author Contributions Luqi Wang and Xiaolong Xue contributed to the conceptualization and methodology. Conflicts of Interest The authors declare no conflict of interest. References 1. Rodrigue J. The Geography of Transport Systems. Liu J. Systems integration for global sustainability.
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