Beecham, R orcid.org/0000-0001-8563-7251 and Wood, J (2014) Exploring gendered cycling behaviours within a large-scale behavioural data-set. Transportation Planning and Technology, 37 (1). pp. 83-97. ISSN 0308-1060
Abstract
Analysing over 10 million journeys made by members of London's Cycle Hire Scheme, we find that female customers' usage characteristics are demonstrably different from those of male customers. Usage at weekends and within London's parks characterises women's journeys, whereas for men, a commuting function is more clearly identified. Some of these variations are explained by geo-demographic differences and by an atypical period of usage during the first three months after the scheme's launch. Controlling for each of these variables brings some convergence between men and women. However, many differences are preserved. Studying the spatio-temporal context under which journeys are made, we find that women's journeys are highly spatially structured. Even when making utilitarian cycle trips, routes that involve large, multi-lane roads are comparatively rare, and instead female cyclists preferentially select areas of the city associated with slower traffic streets and with cycle routes slightly offset from major roads.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2013 Taylor & Francis, This is an Accepted Manuscript of an article published by Taylor & Francis in Transportation Planning and Technology on 11 Oct 2013, available online: https://doi.org/10.1080/03081060.2013.844903 |
Keywords: | gender and cycling behaviour, bicycle share schemes, visual analytics, behavioural data-sets |
Dates: |
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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) |
Depositing User: | Symplectic Publications |
Date Deposited: | 15 Jun 2018 14:53 |
Last Modified: | 16 Jun 2018 03:06 |
Status: | Published |
Publisher: | Taylor & Francis |
Identification Number: | 10.1080/03081060.2013.844903 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:123935 |