A holistic approach to artificial intelligence-related research in the transportation system: bibliometric analysis

Abstract

Purpose

Developments regarding the use of artificial intelligence (AI) in transportation systems, one of the important stakeholders of tourism, are remarkable. However, no review thus far has provided a comprehensive overview of research on AI in transportation systems.

Design/methodology/approach

To fill this gap, this study uses the VOSviewer software to present a bibliometric review of the current scientific literature in the field of AI-related tourism research. The theme of AI in transportation systems was explored in the Web of Science database.

Findings

The original search yielded 642 documents, which were then filtered by parameters. For publications related to AI in transportation systems, the most cited documents, leading authors, productive countries, co-occurrence analysis of keywords and bibliographic matching of documents were examined. This report shows that there has been a recent increase in research on AI in transport systems. However, there is only one study on tourism. The country that contributed the most is China with 298 studies. The most used keyword in the documents was intelligent transportation system.

Originality/value

The bibliometric analysis of the existing work provided a valuable and seminal reference for researchers and practitioners in AI-related in transportation system.

Citation

Şengöz, A., Orhun, B.N. and Konyalilar, N. (2024), "A holistic approach to artificial intelligence-related research in the transportation system: bibliometric analysis", Worldwide Hospitality and Tourism Themes, Vol. 16 No. 2, pp. 138-149. https://doi.org/10.1108/WHATT-03-2024-0059