IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2210.02504.html
   My bibliography  Save this paper

Bikeability and the induced demand for cycling

Author

Listed:
  • Mogens Fosgerau
  • Miroslawa Lukawska
  • Mads Paulsen
  • Thomas Kj{ae}r Rasmussen

Abstract

To what extent is the volume of urban bicycle traffic affected by the provision of bicycle infrastructure? In this study, we exploit a large dataset of observed bicycle trajectories in combination with a fine-grained representation of the Copenhagen bicycle-relevant network. We apply a novel model for bicyclists' choice of route from origin to destination that takes the complete network into account. This enables us to determine bicyclists' preferences for a range of infrastructure and land-use types. We use the estimated preferences to compute a subjective cost of bicycle travel, which we correlate with the number of bicycle trips across a large number of origin-destination pairs. Simulations suggest that the extensive Copenhagen bicycle lane network has caused the number of bicycle trips and the bicycle kilometers traveled to increase by 60% and 90%, respectively, compared with a counterfactual without the bicycle lane network. This translates into an annual benefit of EUR 0.4M per km of bicycle lane owing to changes in subjective travel cost, health, and accidents. Our results thus strongly support the provision of bicycle infrastructure.

Suggested Citation

  • Mogens Fosgerau & Miroslawa Lukawska & Mads Paulsen & Thomas Kj{ae}r Rasmussen, 2022. "Bikeability and the induced demand for cycling," Papers 2210.02504, arXiv.org, revised Dec 2022.
  • Handle: RePEc:arx:papers:2210.02504
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2210.02504
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. John Parkin & Mark Wardman & Matthew Page, 2008. "Estimation of the determinants of bicycle mode share for the journey to work using census data," Transportation, Springer, vol. 35(1), pages 93-109, January.
    2. Jinhyun Hong & David Philip McArthur & Mark Livingston, 2020. "The evaluation of large cycling infrastructure investments in Glasgow using crowdsourced cycle data," Transportation, Springer, vol. 47(6), pages 2859-2872, December.
    3. Fosgerau, Mogens & Small, Kenneth A., 2013. "Hypercongestion in downtown metropolis," Journal of Urban Economics, Elsevier, vol. 76(C), pages 122-134.
    4. Jessica Schoner & David Levinson, 2014. "The missing link: bicycle infrastructure networks and ridership in 74 US cities," Transportation, Springer, vol. 41(6), pages 1187-1204, November.
    5. Frejinger, E. & Bierlaire, M. & Ben-Akiva, M., 2009. "Sampling of alternatives for route choice modeling," Transportation Research Part B: Methodological, Elsevier, vol. 43(10), pages 984-994, December.
    6. 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.
    7. 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.
    8. 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.
    9. Osama, Ahmed & Sayed, Tarek & Bigazzi, Alexander Y., 2017. "Models for estimating zone-level bike kilometers traveled using bike network, land use, and road facility variables," Transportation Research Part A: Policy and Practice, Elsevier, vol. 96(C), pages 14-28.
    10. Roy Allen & John Rehbeck, 2019. "Identification With Additively Separable Heterogeneity," Econometrica, Econometric Society, vol. 87(3), pages 1021-1054, May.
    11. Vandenbulcke, Grégory & Dujardin, Claire & Thomas, Isabelle & Geus, Bas de & Degraeuwe, Bart & Meeusen, Romain & Panis, Luc Int, 2011. "Cycle commuting in Belgium: Spatial determinants and 're-cycling' strategies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(2), pages 118-137, February.
    12. Fitch, Dillon T. & Handy, Susan L., 2020. "Road environments and bicyclist route choice: The cases of Davis and San Francisco, CA," Journal of Transport Geography, Elsevier, vol. 85(C).
    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.
    14. Agarwal, Amit & Ziemke, Dominik & Nagel, Kai, 2020. "Bicycle superhighway: An environmentally sustainable policy for urban transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 519-540.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Michael Hardinghaus & Simon Nieland & Marius Lehne & Jan Weschke, 2021. "More than Bike Lanes—A Multifactorial Index of Urban Bikeability," Sustainability, MDPI, vol. 13(21), pages 1-17, October.
    2. Martin, Adam & Morciano, Marcello & Suhrcke, Marc, 2021. "Determinants of bicycle commuting and the effect of bicycle infrastructure investment in London: Evidence from UK census microdata," Economics & Human Biology, Elsevier, vol. 41(C).
    3. Jacek Oskarbski & Krystian Birr & Karol Żarski, 2021. "Bicycle Traffic Model for Sustainable Urban Mobility Planning," Energies, MDPI, vol. 14(18), pages 1-36, September.
    4. Ospina, Juan P. & Duque, Juan C. & Botero-Fernández, Verónica & Montoya, Alejandro, 2022. "The maximal covering bicycle network design problem," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 222-236.
    5. 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.
    6. Umer Mansoor & Mohammad Tamim Kashifi & Fazal Rehman Safi & Syed Masiur Rahman, 2022. "A review of factors and benefits of non-motorized transport: a way forward for developing countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 1560-1582, February.
    7. Osama, Ahmed & Sayed, Tarek & Bigazzi, Alexander Y., 2017. "Models for estimating zone-level bike kilometers traveled using bike network, land use, and road facility variables," Transportation Research Part A: Policy and Practice, Elsevier, vol. 96(C), pages 14-28.
    8. Faghih Imani, Ahmadreza & Miller, Eric J. & Saxe, Shoshanna, 2019. "Cycle accessibility and level of traffic stress: A case study of Toronto," Journal of Transport Geography, Elsevier, vol. 80(C).
    9. Cervero, Robert & Denman, Steve & Jin, Ying, 2019. "Network design, built and natural environments, and bicycle commuting: Evidence from British cities and towns," Transport Policy, Elsevier, vol. 74(C), pages 153-164.
    10. Rodriguez-Valencia, Alvaro & Rosas-Satizábal, Daniel & Gordo, Daniel & Ochoa, Andrés, 2019. "Impact of household proximity to the cycling network on bicycle ridership: The case of Bogotá," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    11. Downward, Paul & Rasciute, Simona, 2015. "Assessing the impact of the National Cycle Network and physical activity lifestyle on cycling behaviour in England," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 425-437.
    12. Pucher, John & Buehler, Ralph & Seinen, Mark, 2011. "Bicycling renaissance in North America? An update and re-appraisal of cycling trends and policies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(6), pages 451-475, July.
    13. Van Holle, Veerle & Van Cauwenberg, Jelle & Deforche, Benedicte & Goubert, Liesbet & Maes, Lea & Nasar, Jack & Van de Weghe, Nico & Salmon, Jo & De Bourdeaudhuij, Ilse, 2014. "Environmental invitingness for transport-related cycling in middle-aged adults: A proof of concept study using photographs," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 432-446.
    14. Götschi, Thomas & Hintermann, Beat, 2013. "Valuation of public investment to support bicycling (FV-09)," Working papers 2013/02, Faculty of Business and Economics - University of Basel.
    15. 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.
    16. Paulsen, Mads & Rich, Jeppe, 2023. "Societally optimal expansion of bicycle networks," Transportation Research Part B: Methodological, Elsevier, vol. 174(C).
    17. Hong, Jinhyun & Philip McArthur, David & Stewart, Joanna L., 2020. "Can providing safe cycling infrastructure encourage people to cycle more when it rains? The use of crowdsourced cycling data (Strava)," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 109-121.
    18. Ali Al-Ramini & Mohammad A Takallou & Daniel P Piatkowski & Fadi Alsaleem, 2022. "Quantifying changes in bicycle volumes using crowdsourced data," Environment and Planning B, , vol. 49(6), pages 1612-1630, July.
    19. Houshmand Masoumi & Grzegorz Sierpiński, 2022. "The Land Use and Individual Correlates of Pedestrian Commuting: Who Walks to Their Work or Place of Study in the Large Cities of the MENA Region?," Sustainability, MDPI, vol. 14(10), pages 1-17, May.
    20. Arellana, Julián & Saltarín, María & Larrañaga, Ana Margarita & González, Virginia I. & Henao, César Augusto, 2020. "Developing an urban bikeability index for different types of cyclists as a tool to prioritise bicycle infrastructure investments," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 310-334.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:2210.02504. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.