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Strava Metro data for bicycle monitoring: a literature review

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  • Kyuhyun Lee
  • Ipek Nese Sener

Abstract

Monitoring bicycle trips is no longer limited to traditional sources, such as travel surveys and counts. Strava, a popular fitness tracker, continuously collects human movement trajectories, and its commercial data service, Strava Metro, has enriched bicycle research opportunities over the last five years. Accrued knowledge from colleagues who have already utilised Strava Metro data can be valuable for those seeking expanded monitoring options. To convey such knowledge, this paper synthesises a data overview, extensive literature review on how the data have been applied to deal with drivers’ bicycle-related issues, and implications for future work. The review results indicate that Strava Metro data have the potential—although finite—to be used to identify various travel patterns, estimate travel demand, analyse route choice, control for exposure in crash models, and assess air pollution exposure. However, several challenges, such as the under-representativeness of the general population, bias towards and away from certain groups, and lack of demographic and trip details at the individual level, prevent researchers from depending entirely on the new data source. Cross-use with other sources and validation of reliability with official data could enhance the potentiality.

Suggested Citation

  • Kyuhyun Lee & Ipek Nese Sener, 2021. "Strava Metro data for bicycle monitoring: a literature review," Transport Reviews, Taylor & Francis Journals, vol. 41(1), pages 27-47, January.
  • Handle: RePEc:taf:transr:v:41:y:2021:i:1:p:27-47
    DOI: 10.1080/01441647.2020.1798558
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    Cited by:

    1. Łukawska, Mirosława & Paulsen, Mads & Rasmussen, Thomas Kjær & Jensen, Anders Fjendbo & Nielsen, Otto Anker, 2023. "A joint bicycle route choice model for various cycling frequencies and trip distances based on a large crowdsourced GPS dataset," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).
    2. Mohammad Anwar Alattar & Caitlin Cottrill & Mark Beecroft, 2021. "Sources and Applications of Emerging Active Travel Data: A Review of the Literature," Sustainability, MDPI, vol. 13(13), pages 1-17, June.
    3. Rohan L Aras & Nicholas T Ouellette & Rishee K Jain, 2023. "A barrier too far: Understanding the role of intersection crossing distance on bicycle rider behavior in Chicago," Environment and Planning B, , vol. 50(8), pages 2118-2132, October.

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