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How to make CBA more suitable for evaluating cycling policies

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  • van Wee, Bert
  • Börjesson, Maria

Abstract

In this paper we argue that there is no reason to a priori reject the use of CBA for the evaluation of cycling policies. A CBA can be very helpful to ex ante evaluate the impacts of candidate cycling policies although the outcomes need to be carefully examined and could be misleading. This is firstly due to current practice and modelling tools which do not address cycling well, key issues being the poor inclusion of cycling in transport models even in countries with high bicycle levels, and the use of aggregate average risk data which do not reflect marginal risk changes in specific cases. In addition it is doubtful whether the value of travel time gains can be captured by the cyclist’s willingness to pay. Secondly, some important effects are generally ignored, typically difficulties in quantifying and monetizing the potential impacts on the urban environment, social exclusion and the option value. We point out some research and modelling challenges essential for improving CBA for the evaluation of cycling policies.

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  • 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.
    • Handle: RePEc:eee:trapol:v:44:y:2015:i:c:p:117-124
    DOI: 10.1016/j.tranpol.2015.07.005
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    References listed on IDEAS

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    Cited by:

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    2. 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.
    3. Ferretto, Laura & Bruzzone, Francesco & Nocera, Silvio, 2021. "Pathways to active mobility planning," Research in Transportation Economics, Elsevier, vol. 86(C).
    4. Mouter, Niek & Koster, Paul & Dekker, Thijs, 2021. "Contrasting the recommendations of participatory value evaluation and cost-benefit analysis in the context of urban mobility investments," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 54-73.
    5. 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.
    6. Piras, Francesco & Sottile, Eleonora & Tuveri, Giovanni & Meloni, Italo, 2021. "Could psychosocial variables help assess pro-cycling policies?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 108-128.
    7. Stanley, John K. & Hensher, David A. & Stanley, Janet R. & Vella-Brodrick, Dianne, 2021. "Valuing changes in wellbeing and its relevance for transport policy," Transport Policy, Elsevier, vol. 110(C), pages 16-27.
    8. Asplund, Disa & Pyddoke, Roger, 2021. "Optimal pricing of car use in a small city: A case study of Uppsala," Transport Policy, Elsevier, vol. 114(C), pages 88-103.

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