Thematic framework for research on transport infrastructure and economics: a systematic review of the literature using nlp

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Resumo

This study presents a systematic analysis of 7,566 articles from international peer-reviewed journals on transport infrastructure and economic development. Using machine-learning and cluster-analysis techniques, it identifies the field’s key research directions. The results reveal four dominant thematic clusters: sustainable transport, digitalisation, regional corridors and decarbonisation. Topic-trend analysis shows a rapid surge of interest in the transition to alternative fuels (biofuels, hydrogen), carbon-footprint reduction and the deployment of digital solutions. China leads in both publication count and growth rate, while Russian research concentrates on developing transport corridors, including the Northern Sea Route. The most highly cited studies remain those with an environmental focus—particularly on CO₂-reduction efficiency and climate policy. The resulting thematic maps help uncover knowledge gaps and highlight priority research areas. Future work should include an in-depth analysis of regional specificities in transport transformation and an assessment of the long-term economic effects of environmental initiatives.

Sobre autores

E. Gabdukaev

HSE University

Email: gabdukaeveduard@gmail.com
Perm, Russian Federation

Yu. Naidenova

HSE University

Email: yunaydenova@hse.ru
Perm, Russian Federation

P. Parshakov

HSE University

Email: pparshakov@hse.ru
Perm, Russian Federation

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