Quantifying the Ambient Population using Hourly Population Footfall Data and an Agent-Based Model of Daily Mobility

Crols, T orcid.org/0000-0002-9379-7770 and Malleson, N orcid.org/0000-0002-6977-0615 (2019) Quantifying the Ambient Population using Hourly Population Footfall Data and an Agent-Based Model of Daily Mobility. GeoInformatica, 23 (2). pp. 201-220. ISSN 1384-6175

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2019, The Author(s) .This is an open access article under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/).
Keywords: Agent-based modelling; Ambient population; Big data; Urban analytics; Urban simulation
Dates:
  • Published: 27 April 2019
  • Accepted: 7 March 2019
  • Published (online): 27 April 2019
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)
Funding Information:
FunderGrant number
ESRCES/L009900/1
ESRCES/L011891/1
Depositing User: Symplectic Publications
Date Deposited: 12 Mar 2019 12:08
Last Modified: 24 May 2019 15:30
Status: Published
Publisher: Springer
Identification Number: https://doi.org/10.1007/s10707-019-00346-1

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