Household travel mode choice estimation with large-scale data—an empirical analysis based on mobility data in Milan

Liang, L, Xu, M, Grant-Muller, S et al. (1 more author) (2021) Household travel mode choice estimation with large-scale data—an empirical analysis based on mobility data in Milan. International Journal of Sustainable Transportation, 15 (1). pp. 70-85. ISSN 1556-8318

Abstract

Metadata

Authors/Creators:
  • Liang, L
  • Xu, M
  • Grant-Muller, S
  • Mussone, L
Keywords: Estimation, household mobility, large-scale data, machine learning, sustainable transportation system, travel mode choice
Dates:
  • Accepted: 27 October 2019
  • Published (online): 6 November 2019
  • Published: 1 January 2021
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)
Funding Information:
FunderGrant number
ESRC (Economic and Social Research Council)ES/P01139X/1
ESRC (Economic and Social Research Council)ES/S007164/1
Alan Turing InstituteNo External Reference
Depositing User: Symplectic Publications
Date Deposited: 09 Mar 2020 10:40
Last Modified: 18 Jul 2022 09:03
Status: Published
Publisher: Taylor & Francis
Identification Number: https://doi.org/10.1080/15568318.2019.1686782

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