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Bicyclists’ preferences for route characteristics and crowding in Copenhagen – A choice experiment study of commuters

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  • Vedel, Suzanne Elizabeth
  • Jacobsen, Jette Bredahl
  • Skov-Petersen, Hans

Abstract

Cycling as a mode of transportation is increasingly being advocated due to the many positive effects it has on people’s health, the environment and to counteract increasing congestion on the transportation infrastructure. There is a long tradition of using cycling as a mode of transportation among the Danish public and this is widespread across people with different socio-demographic characteristics. Copenhagen has an extensive network of cycling facilities and is often used as a role model for other large cities when developing cycling facilities. This setting provides a unique basis for investigating bicycle commuters’ preferences for route characteristics and crowding in particular, which is not studied before, but likely to become an issue around the world’s cities with increases in number of bicyclists. The study is based on a choice experiment of 3891 active cyclists in Copenhagen. The investigated attributes are cycle track, crowding, stops, environment/road type, green surroundings, and travel distance which is used as a payment vehicle to gain more desirable route characteristics.

Suggested Citation

  • Vedel, Suzanne Elizabeth & Jacobsen, Jette Bredahl & Skov-Petersen, Hans, 2017. "Bicyclists’ preferences for route characteristics and crowding in Copenhagen – A choice experiment study of commuters," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 53-64.
  • Handle: RePEc:eee:transa:v:100:y:2017:i:c:p:53-64
    DOI: 10.1016/j.tra.2017.04.006
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    1. Menghini, G. & Carrasco, N. & Schüssler, N. & Axhausen, K.W., 2010. "Route choice of cyclists in Zurich," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(9), pages 754-765, November.
    2. Vredin Johansson, Maria & Heldt, Tobias & Johansson, Per, 2006. "The effects of attitudes and personality traits on mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(6), pages 507-525, July.
    3. Kevin J Krizek & Susan L Handy & Ann Forsyth, 2009. "Explaining Changes in Walking and Bicycling Behavior: Challenges for Transportation Research," Environment and Planning B, , vol. 36(4), pages 725-740, August.
    4. Riccardo Scarpa & Mara Thiene & Francesco Marangon, 2008. "Using Flexible Taste Distributions to Value Collective Reputation for Environmentally Friendly Production Methods," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 56(2), pages 145-162, June.
    5. Tilahun, Nebiyou Y. & Levinson, David M. & Krizek, Kevin J., 2007. "Trails, lanes, or traffic: Valuing bicycle facilities with an adaptive stated preference survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(4), pages 287-301, May.
    6. Broach, Joseph & Dill, Jennifer & Gliebe, John, 2012. "Where do cyclists ride? A route choice model developed with revealed preference GPS data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(10), pages 1730-1740.
    7. Calfee, John & Winston, Clifford, 1998. "The value of automobile travel time: implications for congestion policy," Journal of Public Economics, Elsevier, vol. 69(1), pages 83-102, July.
    8. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387.
    9. Skov-Petersen, Hans & Jacobsen, Jette Bredahl & Vedel, Suzanne Elizabeth & Thomas Alexander, Sick Nielsen & Rask, Simon, 2017. "Effects of upgrading to cycle highways - An analysis of demand induction, use patterns and satisfaction before and after," Journal of Transport Geography, Elsevier, vol. 64(C), pages 203-210.
    10. Bhat, Chandra R. & Dubey, Subodh K. & Nagel, Kai, 2015. "Introducing non-normality of latent psychological constructs in choice modeling with an application to bicyclist route choice," Transportation Research Part B: Methodological, Elsevier, vol. 78(C), pages 341-363.
    11. Rachel Aldred & James Woodcock & Anna Goodman, 2016. "Does More Cycling Mean More Diversity in Cycling?," Transport Reviews, Taylor & Francis Journals, vol. 36(1), pages 28-44, January.
    12. Nebiyou Tilahun & Kevin Krizek & David Levinson, 2007. "Trails, Lanes, or Traffic: Value of Different Bicycle Facilities Using Adaptive Stated-Preference Survey," Working Papers 200701, University of Minnesota: Nexus Research Group.
    13. Ralph Buehler & Jennifer Dill, 2016. "Bikeway Networks: A Review of Effects on Cycling," Transport Reviews, Taylor & Francis Journals, vol. 36(1), pages 9-27, January.
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