Assessment of the European mobility research landscape to support policy shaping through artificial intelligence models

This paper presents an approach for assessing EU-funded mobility research initiatives that relies on natural language processing (NLP) techniques. The developed prototype acts as a digital assistant that helps to analyze the mobility research landscape and delivers a bird-eye view of its status, gaps, and bottlenecks. The authors present data-based models that exploit common NLP techniques used for topic modeling and information retrieval to automatize the analysis of the textual data of over 40,000 H2020 and PF7 research projects and to deliver a series of metrics that support insight discovery. Further, the authors present an open-access dashboard that visually inspects the model results. Based on the developed models, the authors provide high-level strategic recommendations for future mobility development. A particular use case focuses on digitalization in mobility.

• Record URL:
  • https://doi.org/10.1016/j.trpro.2023.11.448
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S2352146523007469
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/23521465
• Supplemental Notes:
  • © 2023 Published by Elsevier B.V. Abstract reprinted with permission of Elsevier.
• Authors:
  • Valput, Damir
  • Schmalz, Ulrike
  • Hernández, Pablo
  • Paul, Annika
• Conference:
  • Transport Research Arena Conference (TRA Lisbon 2022)
  • Location: Lisbon , Portugal
  • Date: 2022-11-14 to 2022-11-17
• Publication Date: 2023

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: pp 627-634
• Serial:
  • Transportation Research Procedia
  • Volume: 72
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 2352-1465
  • Serial URL: http://www.sciencedirect.com/science/journal/23521465/
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Artificial intelligence; Digitization; Mobility; Research
• Geographic Terms: Europe
• Subject Areas: Planning and Forecasting; Research; Transportation (General);

Filing Info

• Accession Number: 01907872
• Record Type: Publication
• Files: TRIS
• Created Date: Feb 12 2024 10:31AM