Lovelace, R orcid.org/0000-0001-5679-6536, Beecham, R orcid.org/0000-0001-8563-7251, Heinen, E orcid.org/0000-0001-8428-5709 et al. (4 more authors) (2020) Is the London Cycle Hire Scheme becoming more inclusive? An evaluation of the shifting spatial distribution of uptake based on 70 million trips. Transportation Research Part A: Policy and Practice, 140. pp. 1-15. ISSN 0965-8564
Abstract
Pro-cycling interventions, and cycle hire schemes in particular, are often assumed to primarily benefit the privileged. This framing has played-out in academic research, with many papers exploring the relationship between cycling and existing inequalities. A growing body of evidence suggests that cycle hire schemes tend to serve wealthy areas and young, high income groups, mirroring inequalities in other types of cycling uptake, yet there has been little research into the ‘direction of travel’ and whether such inequalities are growing or ‘levelling up’ over time. This paper explores the uptake of the London Cycle Hire Scheme (LCHS), a large, early and prominent scheme that had the explicit aim of ‘normalising’ cycling. The method involved reproducible analysis (with code documented in the GitHub repo Robinlovelace/cycle-hire-inclusive) of 73.4 million cycle high records spanning 8 years from January 2012 to December 2019, using the geographic location of docking stations alongside official statistics to assess social and spatial inequalities in uptake.
The method involved analysis of 73.4 million cycle high records spanning 8 years from January 2012 to December 2019, using the geographic location of docking stations alongside official statistics to assess social and spatial inequalities in uptake. We found that, contrary to the trend for increasing segregation and geographic inequalities, the usage of the LCHS have become increasingly geographically distributed across London over time, with AM peak usage in comparatively low-income areas seeing high levels of growth. Our study shows that cycle hire schemes can be designed and expanded in ways that benefit a wide range of people, including those from low income areas, and that new cycle hire docking stations in poorer areas can succeed.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020, Elsevier Ltd. All rights reserved. This is an author produced version of an article published in Transportation Research Part A: Policy and Practice. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Cycle hire; Bikeshare; Transport equity; Big data; Reproducible data science |
Dates: |
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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) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds) |
Funding Information: | Funder Grant number World Health Organisation 201961004 Department of Transport RG98876 World Health Organisation 2019/935794 |
Depositing User: | Symplectic Publications |
Date Deposited: | 28 Jul 2020 12:53 |
Last Modified: | 27 Nov 2023 10:36 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.tra.2020.07.017 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:154363 |