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The use of self-monitoring solutions amongst cyclists: An online survey and empirical study

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  • Piwek, Lukasz
  • Joinson, Adam
  • Morvan, James

Abstract

Self-monitoring has been shown to be one of the most efficient behaviour change techniques to promote physical activity. However, there has been no research on the exact nature and impact of using various self-monitoring solutions (e.g. cycle computer, cadence monitor, smartphone’ physical activity apps) amongst cyclists. Initially, an online survey was conducted with 227 adults who did or did not use self-monitoring solutions with their cycling. We found that the most important features for cyclists who use self-monitoring are: time it takes to travel, cycling speed, and distance covered. In contrast, cyclists who do not use self-monitoring perceived features related to location (e.g. directions with maps) as the most important ones. In a subsequent study we included self-monitoring solutions as a part of mixed-design, small-scale, longitudinal intervention aimed at changing transportation patterns. We found that self-monitoring is mainly suitable for performance oriented cyclists rather then recreational cyclists. We discuss the implications of those results for designing interventions to promote cycling.

Suggested Citation

  • Piwek, Lukasz & Joinson, Adam & Morvan, James, 2015. "The use of self-monitoring solutions amongst cyclists: An online survey and empirical study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 126-136.
    • Handle: RePEc:eee:transa:v:77:y:2015:i:c:p:126-136
    DOI: 10.1016/j.tra.2015.04.010
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    References listed on IDEAS

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    2. Griffin, Greg Phillip & Mulhall, Megan & Simek, Chris & Riggs, William W., 2020. "Mitigating Bias in Big Data for Transportation," SocArXiv trbv9, Center for Open Science.
    3. Mário Meireles & Paulo J. G. Ribeiro, 2020. "Digital Platform/Mobile App to Boost Cycling for the Promotion of Sustainable Mobility in Mid-Sized Starter Cycling Cities," Sustainability, MDPI, vol. 12(5), pages 1-27, March.
    4. Behrendt, Frauke, 2016. "Why cycling matters for Smart Cities. Internet of Bicycles for Intelligent Transport," Journal of Transport Geography, Elsevier, vol. 56(C), pages 157-164.
    5. Rahat Sabyrbekov & Indra Overland, 2020. "Why Choose to Cycle in a Low-Income Country?," Sustainability, MDPI, vol. 12(18), pages 1-14, September.
    6. Jiaoe Wang & Jie Huang & Michael Dunford, 2019. "Rethinking the Utility of Public Bicycles: The Development and Challenges of Station-Less Bike Sharing in China," Sustainability, MDPI, vol. 11(6), pages 1-20, March.

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