Revealing the impacts of COVID-19 pandemic on intercity truck transport: New insights from big data analytics

Yang, Y. orcid.org/0000-0002-9650-9981, Jia, B., Yang, Z. et al. (6 more authors) (2024) Revealing the impacts of COVID-19 pandemic on intercity truck transport: New insights from big data analytics. Transportation Research Part C: Emerging Technologies, 169. 104861. ISSN 0968-090X

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Item Type: Article
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This is an author produced version of an article published in Transportation Research Part C: Emerging Technologies, made available under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: Intercity truck transport, COVID-19 pandemic, Big data analytics, Machine learning, GPS data
Dates:
  • Published: December 2024
  • Published (online): 20 September 2024
  • Accepted: 16 September 2024
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 01 Nov 2024 12:23
Last Modified: 01 Nov 2024 12:23
Status: Published
Publisher: Elsevier
Identification Number: 10.1016/j.trc.2024.104861
Related URLs:
Sustainable Development Goals:
  • Sustainable Development Goals: Goal 3: Good Health and Well-Being
  • Sustainable Development Goals: Goal 11: Sustainable Cities and Communities
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