A spatiotemporal and graph-based analysis of dockless bike sharing patterns to understand urban flows over the last mile

Yang, Y, Heppenstall, A orcid.org/0000-0002-0663-3437, Turner, A orcid.org/0000-0002-6098-6313 et al. (1 more author) (2019) A spatiotemporal and graph-based analysis of dockless bike sharing patterns to understand urban flows over the last mile. Computers, Environment and Urban Systems, 77. 101361. ISSN 0198-9715

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2019 The Authors. Published by Elsevier Ltd. 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: Dockless bikes; Urban dynamics; Spatial analysis; Graph structure; Transportation
Dates:
  • Published: September 2019
  • Accepted: 2 July 2019
  • Published (online): 17 July 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/R007918/1
NERCNE/S009124/1
Depositing User: Symplectic Publications
Date Deposited: 08 Jul 2019 16:14
Last Modified: 15 Nov 2019 14:13
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.compenvurbsys.2019.101361
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