New tools of the trade? The potential and pitfalls of ’Machine Learning’ and ’DAGs’ to model origin-destination data

Lovelace, R orcid.org/0000-0001-5679-6536, Fridman-Rojas, I and Long, R (2017) New tools of the trade? The potential and pitfalls of ’Machine Learning’ and ’DAGs’ to model origin-destination data. In: GeoComputation 2017. 2017 International Conference on GeoComputation, 04-07 Sep 2017, Leeds, UK. Centre for Computational Geography, University of Leeds .

Abstract

Metadata

Authors/Creators:
Keywords: Machine Learning; Causal Inference
Dates:
  • Published: September 2017
  • Accepted: 15 May 2017
  • Published (online): 4 September 2017
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Spatial Modelling and Dynamics (Leeds)
Funding Information:
FunderGrant number
Department of TransportNo External Reference
Depositing User: Symplectic Publications
Date Deposited: 21 Nov 2017 13:04
Last Modified: 17 Jan 2018 21:01
Published Version: http://www.geocomputation.org/2017/papers/73.pdf
Status: Published
Publisher: Centre for Computational Geography, University of Leeds

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