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Network design, built and natural environments, and bicycle commuting: Evidence from British cities and towns

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Peer-reviewed

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Abstract

Rates of cycling to work vary significantly from one urban area to another but the reasons for these variations are not well understood. Existing literature highlights the importance of built environments, urban amenities, and high-quality bicycle networks in promoting cycling. However, few studies measure the respective contributions and weigh the collective magnitude of effects of these influences together. We present a multivariate model that reflects the influences of such factors for 36 cities and towns in Britain. The models reveal a complex web of forces shaping cycling to work, confirming that there is no single, silver-bullet factor even in cities with remarkably high commuter cycling. The model results highlight the importance in joining up network level interventions, for instance to reduce both route circuity and on-road stress, which are objectives often being pursued separately. The results also highlight the importance of non-transport aspects such as land use mix and landscape amenities along commuter routes, and the role of city-specific cycling culture. They also underscore the need for closer collaboration between promoters of commuter cycling and wider urban disciplines to create low-stress routes and supportive built environments in cities and their outskirts.

Description

Journal Title

Transport Policy

Conference Name

Journal ISSN

0967-070X
1879-310X

Volume Title

74

Publisher

Elsevier

Rights and licensing

Except where otherwised noted, this item's license is described as All rights reserved
Sponsorship
Engineering and Physical Sciences Research Council (EP/M508007/1)
Engineering and Physical Sciences Research Council (EP/N010221/1)
Engineering and Physical Sciences Research Council (EP/M506485/1)
Engineering and Physical Sciences Research Council (1930670)
This work was supported by the Friesen Chair Fund in the Department of City and Regional Planning, University of California, Berkeley; the Cambridge Centre for Smart Infrastructure and Construction; the Martin Centre for Architectural and Urban Studies; and the Engineering and Physical Sciences Research Council, [grant number EP/M506485/1].