Leveraging principal component analysis to uncover urban pedestrian dynamics

Liddle, J., Jiang, W. and Malleson, N. orcid.org/0000-0002-6977-0615 (2025) Leveraging principal component analysis to uncover urban pedestrian dynamics. Journal of Geographical Systems. ISSN: 1435-5930

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Item Type: Article
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© The Author(s) 2025. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: Principal component analysis, Footfall, Urban dynamics, Geographic information science
Dates:
  • Accepted: 5 May 2025
  • Published (online): 10 June 2025
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds)
Funding Information:
Funder
Grant number
EU - European Union
757455
Depositing User: Symplectic Publications
Date Deposited: 19 May 2025 10:16
Last Modified: 30 Jul 2025 20:40
Status: Published online
Publisher: Springer
Identification Number: 10.1007/s10109-025-00469-0
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