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An empirical reappraisal of the four types of cyclists

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  • Cabral, Laura
  • Kim, Amy M.

Abstract

The Four Types of Cyclists is a widely adopted typology developed by Portland’s Bicycle Coordinator, Roger Geller. No Way No How, Interested but Concerned, Enthused and Confident, and Strong and Fearless have become ubiquitous in academic literature and practice. However, the classification was subjectively developed and contains several known contradictions. This research aims to develop a data-driven typology using near-identical explanatory variables to those of the Four Types of Cyclists. The objective is to develop a typology with a similar functional purpose, but derived using statistical methods. An online survey was distributed to a panel of Edmonton, Canada, residents to this effect, and the use of video clips rather than descriptions is tested as a means to assess comfort on different types of cycling infrastructure. Cluster Correspondence Analysis is used to carry out the segmentations, including variables of comfort, cycling intent, and cycling in the previous summer. The survey sample tends to segment into three categories, as opposed to the four suggested by Geller: Uncomfortable or Uninterested, Cautious Majority, and Very Comfortable Cyclists. The Four Types of Cyclists typology is also shown to generate heterogeneous comfort patterns within each cyclist type, a limitation our empirically-derived segmentations overcome.

Suggested Citation

  • Cabral, Laura & Kim, Amy M., 2020. "An empirical reappraisal of the four types of cyclists," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 206-221.
  • Handle: RePEc:eee:transa:v:137:y:2020:i:c:p:206-221
    DOI: 10.1016/j.tra.2020.05.006
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    References listed on IDEAS

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    1. Damant-Sirois, Gabriel & El-Geneidy, Ahmed M., 2015. "Who cycles more? Determining cycling frequency through a segmentation approach in Montreal, Canada," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 113-125.
    2. Meghan Winters & Gavin Davidson & Diana Kao & Kay Teschke, 2011. "Motivators and deterrents of bicycling: comparing influences on decisions to ride," Transportation, Springer, vol. 38(1), pages 153-168, January.
    3. Maarten Kroesen & Susan Handy, 2014. "The relation between bicycle commuting and non-work cycling: results from a mobility panel," Transportation, Springer, vol. 41(3), pages 507-527, May.
    4. Griswold, Julia B. & Yu, Mengqiao & Filingeri, Victoria & Grembek, Offer & Walker, Joan L., 2018. "A behavioral modeling approach to bicycle level of service," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 166-177.
    5. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    6. M. Velden & A. Iodice D’Enza & F. Palumbo, 2017. "Cluster Correspondence Analysis," Psychometrika, Springer;The Psychometric Society, vol. 82(1), pages 158-185, March.
    7. Hennig, Christian, 2007. "Cluster-wise assessment of cluster stability," Computational Statistics & Data Analysis, Elsevier, vol. 52(1), pages 258-271, September.
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    1. Guilhem Lecouteux & Léonard Moulin, 2023. "Cycling in the Aftermath of COVID-19: An Empirical Estimation of the Social Dynamics of Bicycle Adoption in Paris," GREDEG Working Papers 2023-02, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    2. Jadwiga Biegańska & Elżbieta Grzelak-Kostulska & Michał Adam Kwiatkowski, 2021. "A Typology of Attitudes towards the E-Bike against the Background of the Traditional Bicycle and the Car," Energies, MDPI, vol. 14(24), pages 1-21, December.
    3. Michael Hardinghaus & Simon Nieland & Marius Lehne & Jan Weschke, 2021. "More than Bike Lanes—A Multifactorial Index of Urban Bikeability," Sustainability, MDPI, vol. 13(21), pages 1-17, October.

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