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Spatio-Temporal Hierarchical Feature Engineering for Forecasting of Urban Footfall

Lookup NU author(s): Tom Komar, Professor Philip JamesORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Publication metadata

Author(s): Komar T, James P

Publication type: Article

Publication status: Published

Journal: Applied Sciences

Year: 2026

Volume: 16

Issue: 7

Online publication date: 25/03/2026

Acceptance date: 20/03/2026

Date deposited: 09/04/2026

ISSN (electronic): 2076-3417

Publisher: MDPI

URL: https://doi.org/10.3390/app16073162

DOI: 10.3390/app16073162

Data Access Statement: The raw observations analysed in this paper are available via the Newcastle Urban Observatory portal and API at https://urbanobservatory.ac.uk (accessed on 6 October 2025).


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Funding

Funder referenceFunder name
EP/P016782/1EPSRC
EP/R013411/1EPSRC
NERC Digital Solutions Hub (UKRI grant NE/W001985/1)

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