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Correlates of Commuter Cycling in Three Norwegian Counties

Author

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  • Solveig Nordengen

    (Faculty of Education, Arts and Sports, Department of Sport, Food and Natural Sciences, Western Norway University of Applied Sciences, Post box 133, 6851 Sogndal, Norway
    Norwegian School of Sports Science, Oslo, Department of Sports Medicine, Post box 4014 Ullevål Stadion, 0806 Oslo, Norway)

  • Denise Christina Ruther

    (Faculty of Engineering and Science, Department of Environmental Sciences, Western Norway University of Applied Sciences, Post box 133, 6851 Sogndal, Norway)

  • Amund Riiser

    (Faculty of Education, Arts and Sports, Department of Sport, Food and Natural Sciences, Western Norway University of Applied Sciences, Post box 133, 6851 Sogndal, Norway)

  • Lars Bo Andersen

    (Faculty of Education, Arts and Sports, Department of Sport, Food and Natural Sciences, Western Norway University of Applied Sciences, Post box 133, 6851 Sogndal, Norway
    Norwegian School of Sports Science, Oslo, Department of Sports Medicine, Post box 4014 Ullevål Stadion, 0806 Oslo, Norway)

  • Ane Solbraa

    (Faculty of Education, Arts and Sports, Department of Sport, Food and Natural Sciences, Western Norway University of Applied Sciences, Post box 133, 6851 Sogndal, Norway)

Abstract

Globally, there is an increasing challenge of physical inactivity and associated diseases. Commuter cycling is an everyday physical activity with great potential to increase the health status in a population. We aimed to evaluate the association of self-reported factors and objectively measured environmental factors in residence and along commuter routes and assessed the probability of being a commuter cyclist in Norway. Our study included respondents from a web-based survey in three Norwegian counties and we used a Geographic Information Systems (GIS) to evaluate the natural and built environment. Of the 1196 respondents, 488 were classified as commuter cyclists. Self-reported factors as having access to an e-bike (OR 5.99 [CI: 3.71–9.69]), being physically active (OR 2.56 [CI: 1.42–4.60]) and good self-rated health (OR 1.92 [CI: 1.20–3.07]) increased the probability of being a cyclist, while being overweight or obese (OR 0.71 [CI: 0.54–0.94]) reduced the probability. Environmental factors, such as high population density (OR 1.49 [CI: 1.05–2.12]) increased the probability, while higher slope (trend p = 0.020), total elevation along commuter route (trend p = 0.001), and >5 km between home and work (OR 0.17 [CI: 0.13–0.23]) decreased the probability of being a cyclist. In the present study, both self-reported and environmental factors were associated with being a cyclist. With the exception of being in good health, the characteristics of cyclists in Norway, a country with a low share of cyclists, seem to be similar to countries with a higher share of cyclists. With better knowledge about characteristics of cyclists, we may design better interventions and campaigns to increase the share of commuter cyclists.

Suggested Citation

  • Solveig Nordengen & Denise Christina Ruther & Amund Riiser & Lars Bo Andersen & Ane Solbraa, 2019. "Correlates of Commuter Cycling in Three Norwegian Counties," IJERPH, MDPI, vol. 16(22), pages 1-18, November.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:22:p:4372-:d:285163
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    References listed on IDEAS

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    1. Hugh Barton & Michael Horswell & Paul Millar, 2012. "Neighbourhood Accessibility and Active Travel," Planning Practice & Research, Taylor & Francis Journals, vol. 27(2), pages 177-201.
    2. Zhu, Jing & Fan, Yingling, 2018. "Daily travel behavior and emotional well-being: Effects of trip mode, duration, purpose, and companionship," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 360-373.
    3. de Geus, B. & Wuytens, N. & Deliens, T. & Keserü, I. & Macharis, C. & Meeusen, R., 2019. "Psychosocial and environmental correlates of cycling for transportation in Brussels," Transportation Research Part A: Policy and Practice, Elsevier, vol. 123(C), pages 80-90.
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    Cited by:

    1. Solveig Nordengen & Lars Bo Andersen & Amund Riiser & Ane K. Solbraa, 2021. "National Trends in Cycling in Light of the Norwegian Bike Traffic Index," IJERPH, MDPI, vol. 18(12), pages 1-14, June.
    2. Hedwig T. Stenner & Johanna Boyen & Markus Hein & Gudrun Protte & Momme Kück & Armin Finkel & Alexander A. Hanke & Uwe Tegtbur, 2020. "Everyday Pedelec Use and Its Effect on Meeting Physical Activity Guidelines," IJERPH, MDPI, vol. 17(13), pages 1-9, July.
    3. Gerson Ferrari & André Oliveira Werneck & Danilo Rodrigues da Silva & Irina Kovalskys & Georgina Gómez & Attilio Rigotti & Lilia Yadira Cortés Sanabria & Martha Cecilia Yépez García & Rossina G. Parej, 2020. "Association between Perceived Neighborhood Built Environment and Walking and Cycling for Transport among Inhabitants from Latin America: The ELANS Study," IJERPH, MDPI, vol. 17(18), pages 1-19, September.

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