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Does new bicycle infrastructure result in new or rerouted bicyclists? A longitudinal GPS study in Oslo

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  • Pritchard, Ray
  • Bucher, Dominik
  • Frøyen, Yngve

Abstract

Well-connected bicycle infrastructure networks are widely accepted to be an important factor for increasing the level of bicycling in urban environments where motorised and active transport modes must co-exist. However, little is known about the extent to which new bicycle infrastructure results in changes of route amongst existing bicyclists as opposed to changes in the mode of transport. This article addresses the route-mode research gap through a panel study in which participant travel behaviour (n = 113) is recorded with a smartphone Global Positioning System (GPS) application. The study observes short-term changes to route and mode choice of participants before and after the establishment of a contraflow bicycle lane in Oslo, Norway. Video and radar-based traffic counting are used as supplementary methods to affirm bicycle volume changes in the broader population.

Suggested Citation

  • Pritchard, Ray & Bucher, Dominik & Frøyen, Yngve, 2019. "Does new bicycle infrastructure result in new or rerouted bicyclists? A longitudinal GPS study in Oslo," Journal of Transport Geography, Elsevier, vol. 77(C), pages 113-125.
    • Handle: RePEc:eee:jotrge:v:77:y:2019:i:c:p:113-125
    DOI: 10.1016/j.jtrangeo.2019.05.005
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    References listed on IDEAS

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    1. Stephan Huber & Christoph Rust, 2016. "Calculate travel time and distance with OpenStreetMap data using the Open Source Routing Machine (OSRM)," Stata Journal, StataCorp LLC, vol. 16(2), pages 416-423, June.
    2. Stephen G. Donald & Kevin Lang, 2007. "Inference with Difference-in-Differences and Other Panel Data," The Review of Economics and Statistics, MIT Press, vol. 89(2), pages 221-233, May.
    3. Gustavo Romanillos & Martin Zaltz Austwick & Dick Ettema & Joost De Kruijf, 2016. "Big Data and Cycling," Transport Reviews, Taylor & Francis Journals, vol. 36(1), pages 114-133, January.
    4. van Wee, Bert & Börjesson, Maria, 2015. "How to make CBA more suitable for evaluating cycling policies," Transport Policy, Elsevier, vol. 44(C), pages 117-124.
    5. Miroslav Vasilev & Ray Pritchard & Thomas Jonsson, 2018. "Trialing a Road Lane to Bicycle Path Redesign—Changes in Travel Behavior with a Focus on Users’ Route and Mode Choice," Sustainability, MDPI, vol. 10(12), pages 1-18, December.
    6. Susan Handy & Bert van Wee & Maarten Kroesen, 2014. "Promoting Cycling for Transport: Research Needs and Challenges," Transport Reviews, Taylor & Francis Journals, vol. 34(1), pages 4-24, January.
    7. Goodman, A. & Sahlqvist, S. & Ogilvie, D., 2014. "New walking and cycling routes and increased physical activity: One- and 2-year findings from the UK iConnect study," American Journal of Public Health, American Public Health Association, vol. 104(9), pages 38-46.
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    Cited by:

    1. Tineke de Jong & Lars Böcker & Christian Weber, 2023. "Road infrastructures, spatial surroundings, and the demand and route choices for cycling: Evidence from a GPS-based mode detection study from Oslo, Norway," Environment and Planning B, , vol. 50(8), pages 2133-2150, October.
    2. Delbosc, Alexa & Goh, Zi Sheng & Naseri, Mahsa & Powers, Tim, 2025. "Can curbside bicycle lanes buffer COVID-19 ridership losses? A case study from Melbourne, Australia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 195(C).
    3. Cubells, Jerònia & Miralles-Guasch, Carme & Marquet, Oriol, 2023. "E-scooter and bike-share route choice and detours: Modelling the influence of built environment and sociodemographic factors," Journal of Transport Geography, Elsevier, vol. 111(C).
    4. Tera, H. & Hadachi, A. & Pourmoradnasseri, M., 2025. "Data-driven approach for assessing the impact of newly developed cycling infrastructure on cyclists' route choice," Journal of Transport Geography, Elsevier, vol. 123(C).
    5. Christian Werner & Elisabeth Füssl & Jannik Rieß & Bernd Resch & Florian Kratochwil & Martin Loidl, 2022. "A Framework to Facilitate Advanced Mixed Methods Studies for Investigating Interventions in Road Space for Cycling," Sustainability, MDPI, vol. 15(1), pages 1-22, December.
    6. Elise Desjardins & Christopher D. Higgins & Darren M. Scott & Emma Apatu & Antonio Páez, 2022. "Correlates of bicycling trip flows in Hamilton, Ontario: fastest, quietest, or balanced routes?," Transportation, Springer, vol. 49(3), pages 867-895, June.

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