IDEAS home Printed from https://ideas.repec.org/a/sae/envirb/v50y2023i8p2103-2117.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/23998083231165122
    Download Restriction: no

    File URL: https://libkey.io/10.1177/23998083231165122?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ali Al-Ramini & Mohammad A Takallou & Daniel P Piatkowski & Fadi Alsaleem, 2022. "Quantifying changes in bicycle volumes using crowdsourced data," Environment and Planning B, , vol. 49(6), pages 1612-1630, July.
    2. Van Veghel, Daniel & Scott, Darren M., 2024. "Investigating the impacts of bike lanes on bike share ridership: A holistic approach and demonstration," Journal of Transport Geography, Elsevier, vol. 115(C).
    3. Büchel, Beda & Marra, Alessio Daniele & Corman, Francesco, 2022. "COVID-19 as a window of opportunity for cycling: Evidence from the first wave," Transport Policy, Elsevier, vol. 116(C), pages 144-156.
    4. Dafeng Xu, 2020. "Free Wheel, Free Will! The Effects of Bikeshare Systems on Urban Commuting Patterns in the U.S," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(3), pages 664-685, June.
    5. Oviedo, Daniel & Sabogal-Cardona, Orlando, 2022. "Arguments for cycling as a mechanism for sustainable modal shifts in Bogotá," Journal of Transport Geography, Elsevier, vol. 99(C).
    6. Beecham, Roger & Tait, Caroline & Lovelace, Robin & Yang, Yuanxuan, 2022. "Connected bikeability in London: which localities are better connected by bike and does this matter?," OSF Preprints gbfz8, Center for Open Science.
    7. Radzimski, Adam & Dzięcielski, Michał, 2021. "Exploring the relationship between bike-sharing and public transport in Poznań, Poland," Transportation Research Part A: Policy and Practice, Elsevier, vol. 145(C), pages 189-202.
    8. Zhu, Siying & Zhu, Feng, 2019. "Cycling comfort evaluation with instrumented probe bicycle," Transportation Research Part A: Policy and Practice, Elsevier, vol. 129(C), pages 217-231.
    9. Ospina, Juan P. & Duque, Juan C. & Botero-Fernández, Verónica & Montoya, Alejandro, 2022. "The maximal covering bicycle network design problem," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 222-236.
    10. Jiang, Zhoutong & Lei, Chao & Ouyang, Yanfeng, 2020. "Optimal investment and management of shared bikes in a competitive market," Transportation Research Part B: Methodological, Elsevier, vol. 135(C), pages 143-155.
    11. Hong, Jinhyun & Philip McArthur, David & Stewart, Joanna L., 2020. "Can providing safe cycling infrastructure encourage people to cycle more when it rains? The use of crowdsourced cycling data (Strava)," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 109-121.
    12. Ding, Hongliang & Lu, Yuhuan & Sze, N.N. & Li, Haojie, 2022. "Effect of dockless bike-sharing scheme on the demand for London Cycle Hire at the disaggregate level using a deep learning approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 150-163.
    13. Yiling Deng & Pengjun Zhao, 2023. "The determinants of shared bike use in China," Transportation, Springer, vol. 50(1), pages 1-23, February.
    14. Caicedo, Angélica & Estrada, Miquel & Medina-Tapia, Marcos & Mayorga, Miguel, 2023. "Optimizing bike network design: A cost-effective methodology for heterogeneous travel demands using continuous approximation techniques," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).
    15. Arellana, Julián & Saltarín, María & Larrañaga, Ana Margarita & González, Virginia I. & Henao, César Augusto, 2020. "Developing an urban bikeability index for different types of cyclists as a tool to prioritise bicycle infrastructure investments," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 310-334.
    16. Nixon, Denver V. & Schwanen, Tim, 2019. "Bike sharing beyond the norm," Journal of Transport Geography, Elsevier, vol. 80(C).
    17. Bas, Javier & Al-Khasawneh, Mohammad B. & Erdoğan, Sevgi & Cirillo, Cinzia, 2023. "How the design of Complete Streets affects mode choice: Understanding the behavioral responses to the level of traffic stress," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    18. Can Cui & Yu Zhang, 2024. "Integration of Shared Micromobility into Public Transit: A Systematic Literature Review with Grey Literature," Sustainability, MDPI, vol. 16(9), pages 1-18, April.
    19. Hill, Chris & Young, Marcus & Blainey, Simon & Cavazzi, Stefano & Emberson, Chris & Sadler, Jason, 2024. "An integrated geospatial data model for active travel infrastructure," Journal of Transport Geography, Elsevier, vol. 117(C).
    20. Chiou, Yu-Chiun & Wu, Kuo-Chi, 2024. "Bikesharing: The first- and last-mile service of public transportation? Evidence from an origin–destination perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 187(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:envirb:v:50:y:2023:i:8:p:2103-2117. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.