###### 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. building information modeling; digital twins; bibliometric analysis; research areas; applications; emerging technologies; development directions +
Footnote †: journal: Applied Sciences  
Digital technologies are affecting transportation in a similar way to other industries. More data means potentially better data-processing capability, which leads to improved decision-making as a result. The transportation industry contributes significantly to urban development. Currently, as smart cities are being constructed, the digitalization of transportation plays a crucial role in improving the economy, social well-being, and the environment [3]. It also directly impacts people's travel behaviors and lifestyles [4; 5]. Roods are one of the central elements of transport systems, and governments have invested significant financial resources to develop and improve their road networks. As a result of digitalization, transportation infrastructure is being built, operated, and financed in new ways, having a profound impact on the entirety of its life cycle. Furthermore, digitalization provides an insightful direction for city development in the future. The joint usage of advanced technologies such as artificial intelligence (AI), the Internet of Things (IoT), blockchain (BC) technology, cloud computing (CC), and sixth-generation (6G) networks has led to the in-depth application of BIM and DTs [6; 7]. Both play a crucial role in building life-cycle management. Among them, BIM simplifies the construction process for smart buildings. By using DTs, sectors can schedule work more efficiently, making complex spaces easier to manage [8]. They make the whole process easier, from conception to operation and maintenance. Digital technologies provide scientific and technological empowerment for intelligent transportation development while also boosting the transportation industry's transformation and upgrading [9]. BIM can inform early design decisions on project feasibility, energy analysis, and sustainability issues, and it can act as a pre-construction guide; BIM technology can also provide visual, 3D communications for DTs [10]. As for digital twin technology, it is a digital representation of an asset, process, or system in an infrastructure or natural environment that is as accurate as possible [11].