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Developing urban biking typologies: quantifying the complex interactions of bicycle ridership, bicycle network and built environment characteristics

Author

Listed:
  • Beck, Ben
  • Winters, Meghan
  • Nelson, Trisalyn
  • Pettit, Christopher
  • Saberi, Meead
  • Thompson, Jason
  • Seneviratne, Sachith
  • Nice, Kerry A
  • Zarpelon-Leao, Simone
  • Stevenson, Mark

Abstract

Background: Extensive research has been conducted exploring associations of built environment characteristics and biking. However, these approaches have often lacked the ability to understanding the interactions of built environment, population and bicycle ridership. To overcome these limitations, this study aimed to develop novel urban biking typologies using unsupervised machine learning methods. Methods: We conducted a retrospective analysis of travel surveys, bicycle infrastructure and population and land use characteristics in the Greater Melbourne region, Australia. To develop the urban biking typology, we used a k-medoids clustering method. Results: Analyses revealed 5 clusters. We highlight areas with high bicycle network density and a high proportion of trips made by bike (Cluster 1; reflecting 12% of the population of Greater Melbourne, but 57% of all bike trips) and areas with high off-road and on-road bicycle network length, but a low proportion of trips made by bike (Cluster 4, reflecting 23% of the population of Greater Melbourne and 13% of all bike trips). Conclusion: Our novel approach to developing an urban biking typology enabled the exploration of the interaction of bicycle ridership, bicycle network, population and land use characteristics. Such approaches are important in advancing our understanding of bicycling behaviour, but further research is required to understand the generalisability of these findings to other settings.

Suggested Citation

  • Beck, Ben & Winters, Meghan & Nelson, Trisalyn & Pettit, Christopher & Saberi, Meead & Thompson, Jason & Seneviratne, Sachith & Nice, Kerry A & Zarpelon-Leao, Simone & Stevenson, Mark, 2021. "Developing urban biking typologies: quantifying the complex interactions of bicycle ridership, bicycle network and built environment characteristics," SocArXiv 8w7bg_v1, Center for Open Science.
    • Handle: RePEc:osf:socarx:8w7bg_v1
    DOI: 10.31219/osf.io/8w7bg_v1
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    References listed on IDEAS

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    1. Jessica Schoner & David Levinson, 2014. "The missing link: bicycle infrastructure networks and ridership in 74 US cities," Transportation, Springer, vol. 41(6), pages 1187-1204, November.
    2. Cui, Yuchen & Mishra, Sabyasachee & Welch, Timothy F., 2014. "Land use effects on bicycle ridership: a framework for state planning agencies," Journal of Transport Geography, Elsevier, vol. 41(C), pages 220-228.
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    4. Trisalyn Nelson & Colin Ferster & Karen Laberee & Daniel Fuller & Meghan Winters, 2021. "Crowdsourced data for bicycling research and practice," Transport Reviews, Taylor & Francis Journals, vol. 41(1), pages 97-114, January.
    5. Beck, Ben & Pettit, Christopher & Winters, Meghan & Nelson, Trisalyn & Vu, Hai & Nice, Kerry A & Seneviratne, Sachith & Saberi, Meead, 2021. "Association between network characteristics and bicycle ridership across a large metropolitan region," OSF Preprints 39ke6, Center for Open Science.
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