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Connected bikeability in London: Which localities are better connected by bike and does this matter?

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  • Roger Beecham
  • Yuanxuan Yang
  • Caroline Tait
  • Robin Lovelace

Abstract

Bikeability, the extent to which a route network enables cycling for everyday travel, is a frequently cited theme for increasing and diversifying cycling uptake and therefore one that attracts much research attention. Indexes designed to quantify bikeability typically generate a single bikeability value for a single locality. Important to transport planners making and evaluating infrastructure decisions, however, is how well-connected by bike are pairs of localities. For this, it is necessary to estimate the bikeability of plausible routes connecting different parts of a city. We approximate routes for all origin-destination trips cycled in the London Cycle Hire Scheme for 2018 and estimate the bikeability of each route, linking to the newly released London Cycle Infrastructure Database. We then divide the area of inner London covered by the bikeshare scheme into ‘villages’ and profile how bikeability varies for trips connecting those villages – we call this connected bikeability . Our bikeability scores vary geographically with certain localities in London better connected by bike than others. A key finding is that higher levels of connected bikeability are conferred to origin-destination village pairs of strategic importance, aligning with the stated ambition of recent cycling infrastructure interventions. The geography of connected bikeability maps to the commuting needs of London’s workers and we find some evidence that connected bikeability has a positive association with observed cycling activity, especially so when studying patterns of cycling to job-rich villages.

Suggested Citation

  • Roger Beecham & Yuanxuan Yang & Caroline Tait & Robin Lovelace, 2023. "Connected bikeability in London: Which localities are better connected by bike and does this matter?," Environment and Planning B, , vol. 50(8), pages 2103-2117, October.
  • Handle: RePEc:sae:envirb:v:50:y:2023:i:8:p:2103-2117
    DOI: 10.1177/23998083231165122
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    References listed on IDEAS

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    1. Yang, Yuanxuan & Beecham, Roger & Heppenstall, Alison & Turner, Andy & Comber, Alexis, 2022. "Understanding the impacts of public transit disruptions on bikeshare schemes and cycling behaviours using spatiotemporal and graph-based analysis: A case study of four London Tube strikes," Journal of Transport Geography, Elsevier, vol. 98(C).
    2. Elliot Fishman, 2016. "Bikeshare: A Review of Recent Literature," Transport Reviews, Taylor & Francis Journals, vol. 36(1), pages 92-113, January.
    3. Jessica Hullman & Paul Resnick & Eytan Adar, 2015. "Hypothetical Outcome Plots Outperform Error Bars and Violin Plots for Inferences about Reliability of Variable Ordering," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-25, November.
    4. Ralph Buehler & Jennifer Dill, 2016. "Bikeway Networks: A Review of Effects on Cycling," Transport Reviews, Taylor & Francis Journals, vol. 36(1), pages 9-27, January.
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