Comparing econometric and machine learning algorithms for modelling daily time-use patterns

Ali, A., Bhaduri, E. and Choudhury, C.F. orcid.org/0000-0002-8886-8976 (Accepted: 2026) Comparing econometric and machine learning algorithms for modelling daily time-use patterns. Transportmetrica A: Transport Science. ISSN: 2324-9935 (In Press)

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Item Type: Article
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This is an author produced version of an article accepted for publication in Transportmetrica A: Transport Science, made available via the University of Leeds Research Outputs Policy 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.
Dates:
  • Accepted: 14 April 2026
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds)
Funding Information:
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Grant number
RCUK (Research Councils UK)
MR/T020423/1
UKRI (UK Research and Innovation)
MR/Y034384/1
Date Deposited: 01 May 2026 09:28
Last Modified: 01 May 2026 14:45
Status: In Press
Publisher: Taylor & Francis
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