Application of Digital Twins and Building Information Modeling in the Digitization of Transportation: A Bibliometric Review
Source abstract
Abstract
The industrial transformation led by digitization-related technologies has attracted research attention in recent decades, enhancing its application in different sectors. The transport industry is a crucial driving force for economic growth and social development. It is still necessary to make transportation infrastructure and services safer, cleaner, and more affordable to cope with increasing urbanization and mobility. This paper systematically examines the science mapping of building information modeling and digital twins technologies in the digitalization of transportation. Through the bibliometric and content analysis approaches, 493 related documents were screened and analyzed from the Web of Science and Scopus databases. The software programs VOSviewer and Bibliometrix were used to determine research trends and current gaps, which will be beneficial to future research in this vital field. The results showed that over 80% of the relevant documents have been published since 2018. China is the most productive country, followed by the United States and Italy, and Germany is the most cited and influential country. Moreover, research also revealed the leading authors, top journals, and highly cited papers. The findings may be used as a guide for: (1) improving the efficiency of intelligent transportation system element management; (2) the development and application of digital technologies; (3) the flow and goals of entire-life-cycle management; and (4) the optimization of related algorithms and models.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Digital Transformation in Industry
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Transportation Engineering, Chang’an University, Xi’an 710064, China
Engineering Research Center of Highway Infrastructure Digitalization, Ministry of Education, Xi’an 710064, China
Engineering Research Center of Digital Construction and Management for Transportation Infrastructure of Shaanxi Province, Xi’an 710064, China
Xi’an Key Laboratory of Digitalization of Transportation Infrastructure Construction and Management, Xi’an 710064, China
School of Economics and Management, Chang’an University, Xi’an 710064, China
Funding
Transportation Science and Technology Research Project of Hebei Province · Scientific Innovation Practice Project of Postgraduates of Chang’an University
References (43)
Show source-provided references
1. Building Information Modeling (BIM) for Transportation Infrastructure–Literature Review, Applications, Challenges, and Recommendations10.1016/j.autcon.2018.07.001 ↗
2. Special Issue “Digital Twin Technology in the AEC Industry”10.1155/2020/8842113 ↗
3. Current Status and Future Prospects of Existing Research on Digitalization of Highway Infrastructure
4. An Overview of Effects of COVID-19 on Mobility and Lifestyle: 18 Months since the Outbreak10.1016/j.tra.2022.03.024 ↗
5. How Does COVID-19 Pandemic Impact Cities’ Logistics Performance? An Evidence from China’s Highway Freight Transport10.1016/j.tranpol.2022.03.002 ↗
6. Edge Task Migration With 6G-Enabled Network in Box for Cybertwin-Based Internet of Vehicles10.1109/TII.2021.3113879 ↗
7. Service Migration Across Edge Devices in 6G-Enabled Internet of Vehicles Networks10.1109/JIOT.2021.3089204 ↗
8. A Survey on Digital Twin: Definitions, Characteristics, Applications, and Design Implications10.1109/ACCESS.2019.2953499 ↗
9. Distributed Incentives for Intelligent Offloading and Resource Allocation in Digital Twin Driven Smart Industry
10. Megahed, N.A., and Hassan, A.M. (2022). Evolution of BIM to DTs: A Paradigm Shift for the Post-Pandemic AECO Industry. Urban Sci., 6.10.3390/urbansci6040067 ↗
11. Customer Experience Challenges: Bringing Together Digital, Physical and Social Realms10.1108/JOSM-04-2018-0113 ↗
12. (2021). Digital Twin and Its Implementations in the Civil Engineering Sector. Autom. Constr., 130, 103838.10.1016/j.autcon.2021.103838 ↗
13. Deep Learning in Transport Studies: A Meta-Analysis on the Prediction Accuracy10.1007/s42421-020-00030-z ↗
14. Application Research on China’s Logistics Network Structure: An Overview
15. Conducting Systematic Literature Reviews and Bibliometric Analyses10.1177/0312896219877678 ↗
16. Shopping Mall Retailing: A Bibliometric Analysis and Systematic Assessment of Chebat’s Contributions10.1016/j.jretconser.2021.102702 ↗
17. Trust and Reputation in Family Businesses: A Systematic Literature Review of Past Achievements and Future Promises10.1016/j.jbusres.2021.07.052 ↗
18. Large-Scale Comparison of Bibliographic Data Sources: Scopus, Web of Science, Dimensions, Crossref, and Microsoft Academic10.1162/qss_a_00112 ↗
19. A Big Data Approach to Map the Service Quality of Short-Stay Accommodation Sharing10.1108/IJCHM-02-2020-0097 ↗
20. Mapping Knowledge Structure by Keyword Co-Occurrence: A First Look at Journal Papers in Technology Foresight10.1007/s11192-010-0259-8 ↗
21. Bibliometrix: An R-Tool for Comprehensive Science Mapping Analysis10.1016/j.joi.2017.08.007 ↗
22. Identifying Emerging Research Fields: A Longitudinal Latent Semantic Keyword Analysis10.1007/s11192-017-2555-z ↗
23. Research Trends in Text Mining: Semantic Network and Main Path Analysis of Selected Journals10.1016/j.eswa.2020.113851 ↗
24. Software Survey: VOSviewer, a Computer Program for Bibliometric Mapping10.1007/s11192-009-0146-3 ↗
25. Citation-Based Clustering of Publications Using CitNetExplorer and VOSviewer10.1007/s11192-017-2300-7 ↗
26. Biancardo, S.A., Capano, A., de Oliveira, S.G., and Tibaut, A. (2020). Integration of BIM and Procedural Modeling Tools for Road Design. Infrastructures, 5.10.3390/infrastructures5040037 ↗
27. Stone Pavement Analysis Using Building Information Modeling10.1177/03611981211035751 ↗
28. Procedural Modeling-Based BIM Approach for Railway Design10.1155/2021/8839362 ↗
29. Biancardo, S., Viscione, N., Oreto, C., Veropalumbo, R., and Abbondati, F. (2020). BIM Approach for Modeling Airports Terminal Expansion. Infrastructures, 5.10.3390/infrastructures5050041 ↗
30. BIM-Based Approach to Conduct Life Cycle Cost Analysis of Resilient Buildings at the Conceptual Stage10.1016/j.autcon.2020.103480 ↗
31. Life Cycle Environmental Impact Assessment to Manage and Optimize Construction Waste Using Building Information Modeling (BIM)
32. Integrating Building Information Modeling (BIM) and LEED System at the Conceptual Design Stage of Sustainable Buildings10.1016/j.scs.2015.06.007 ↗
33. An Integrated BIM-Based Approach for Cost Estimation in Construction Projects10.1108/ECAM-01-2020-0027 ↗
34. Multi-Criteria Analysis of Transport Infrastructure Projects10.1016/j.trd.2020.102351 ↗
35. Li, Y., Xiang, P., You, K., Guo, J., Liu, Z., and Ren, H. (2021). Identifying the Key Risk Factors of Mega Infrastructure Projects from an Extended Sustainable Development Perspective. Int. J. Environ. Res. Public. Health, 18.10.3390/ijerph18147515 ↗
36. Championing and Promoting Innovation in UK Megaprojects10.1016/j.ijproman.2018.09.002 ↗
37. Life Cycle Greenhouse Gas Assessment of Infrastructure Construction for California’s High-Speed Rail System10.1016/j.trd.2011.04.004 ↗
38. Service Offloading With Deep Q-Network for Digital Twinning-Empowered Internet of Vehicles in Edge Computing10.1109/TII.2020.3040180 ↗
39. Guo, J., Bilal, M., Qiu, Y., Qian, C., Xu, X., and Raymond Choo, K.-K. (2022). Survey on Digital Twins for Internet of Vehicles: Fundamentals, Challenges, and Opportunities. Digit. Commun. Netw.
40. BIM-Enabled Multi-Level Assessment of Age-Friendliness of Urban Housing Based on Multiscale Spatial Framework: Enlightenments of Housing Support for “Aging-in-Place”10.1016/j.scs.2021.103039 ↗
41. Gao, S., Ren, G., and Li, H. (2022). Knowledge Management in Construction Health and Safety Based on Ontology Modeling. Appl. Sci., 12.10.3390/app12178574 ↗
42. A Sparsity-Inducing Optimization-Based Algorithm for Planar Patches Extraction from Noisy Point-Cloud Data10.1111/mice.12063 ↗
43. Automatic Generation of Semantically Rich As-Built Building Information Models Using 2D Images: A Derivative-Free Optimization Approach10.1111/mice.12378 ↗