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Exploring characteristics and motives of long distance commuter cyclists

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  • Hansen, Karsten Bruun
  • Nielsen, Thomas Alexander Sick

Abstract

Longer distance cycling is a commuting mode that contributes to sustainability and public health objectives, but little is known about current long distance cyclist׳s motives. The paper explores longer distance commuter cyclists, their characteristics, practice and motives. Longer distance, commuter cyclists (>5km from home to work) have more mobility options, higher incomes, and a longer education than other commuter cyclists. The main motive for longer distance cycling is physical exercise, followed by reduced costs and time used for traveling. The long distance commuter cyclists surveyed are very positive about their commute - pointing to positive experiences, better mood, and stress relief as experiences related to their cycle trip to work. Policy support should devote attention to unlocking the potential that may be embedded in individuals combining their exercise and travel time, budgets to promote active travel to work as well as the role of psychological benefits as a factor in promoting and sustaining cycling practices.

Suggested Citation

  • Hansen, Karsten Bruun & Nielsen, Thomas Alexander Sick, 2014. "Exploring characteristics and motives of long distance commuter cyclists," Transport Policy, Elsevier, vol. 35(C), pages 57-63.
    • Handle: RePEc:eee:trapol:v:35:y:2014:i:c:p:57-63
    DOI: 10.1016/j.tranpol.2014.05.001
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    References listed on IDEAS

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    2. Deok Ha Kim & Dongun Lee & Yeongjin Kim & Sungjun Kim & Dongjun Shin, 2021. "A Power Assistant Algorithm Based on Human–Robot Interaction Analysis for Improving System Efficiency and Riding Experience of E-Bikes," Sustainability, MDPI, vol. 13(2), pages 1-18, January.
    3. Mao, Zidan & Ettema, Dick & Dijst, Martin, 2016. "Commuting trip satisfaction in Beijing: Exploring the influence of multimodal behavior and modal flexibility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 592-603.
    4. Ji, Shujuan & Wang, Xin & Lyu, Tao & Liu, Xiaojie & Wang, Yuanqing & Heinen, Eva & Sun, Zhenwei, 2022. "Understanding cycling distance according to the prediction of the XGBoost and the interpretation of SHAP: A non-linear and interaction effect analysis," Journal of Transport Geography, Elsevier, vol. 103(C).
    5. Anowar, Sabreena & Eluru, Naveen & Hatzopoulou, Marianne, 2017. "Quantifying the value of a clean ride: How far would you bicycle to avoid exposure to traffic-related air pollution?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 105(C), pages 66-78.
    6. Timmer, Sebastian & Bösehans, Gustav & Henkel, Sven, 2023. "Behavioural norms or personal gains? – An empirical analysis of commuters‘ intention to switch to multimodal mobility behaviour," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    7. Nielsen, Thomas Alexander Sick & Skov-Petersen, Hans, 2018. "Bikeability – Urban structures supporting cycling. Effects of local, urban and regional scale urban form factors on cycling from home and workplace locations in Denmark," Journal of Transport Geography, Elsevier, vol. 69(C), pages 36-44.

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