A Fine Grained Hybrid Spatial Microsimulation Technique for Generating Detailed Synthetic Individuals from Multiple Data Sources: An Application To Walking And Cycling

Philips, I orcid.org/0000-0003-1938-7842, Clarke, G orcid.org/0000-0003-4640-8303 and Watling, D orcid.org/0000-0002-6193-9121 (2017) A Fine Grained Hybrid Spatial Microsimulation Technique for Generating Detailed Synthetic Individuals from Multiple Data Sources: An Application To Walking And Cycling. The International Journal of Microsimulation, 10 (1). pp. 167-200. ISSN 1747-5864

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Authors/Creators:
Copyright, Publisher and Additional Information: 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: cycling; resilience; simulated annealing; Spatial microsimulation; synthetic reconstruction; transport disruption; walking
Dates:
  • Accepted: 14 December 2016
  • Published: 1 March 2017
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Sustainable Transport Policy (Leeds)
The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Spatial Modelling and Dynamics (Leeds)
The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 11 Jan 2017 11:21
Last Modified: 28 Jul 2022 14:16
Published Version: https://www.microsimulation.org/IJM/V10_1/IJM_2017...
Status: Published
Publisher: International Microsimulation Association
Identification Number: https://doi.org/10.34196/IJM.00153

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