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Societally optimal expansion of bicycle networks

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  • Paulsen, Mads
  • Rich, Jeppe

Abstract

In this paper, we consider the problem of expanding bicycle networks over time. The expansion of the network at a given point in time is based on the societal cost–benefit performance, which entails system-wide effects from previous expansions. The problem is challenging due to non-linearities of travel time benefits and the dimension of the problem, which is a consequence of the combinatorial complexity of the networks and the planning horizon. It rules out the use of conventional bottom-up cost–benefit analysis as evaluating even a small set of possible solutions becomes computationally infeasible. To circumvent this problem, we introduce a novel reverse geographical mapping approach where the monetary benefits are assigned back onto the network. This allows a more detailed geographical planning breakdown at the level of network links and makes it possible to apply a more stringent optimization approach with respect to the timing and prioritization of network expansions. Based on a linear approximation of travel time savings, we propose several variants of mathematical integer programs to solve the problem. This allows us to consider the case of growing a cycle superhighway network in the Copenhagen region over a time horizon of 50 years. We show that our approximations of travel time savings are largely similar to those obtained through actual traffic assignment. Furthermore, the optimization approach renders a development plan, which yields a net present value that is ten times larger than that of the actual infrastructure upgrades implemented since 2019. In a long-term scenario, it is shown that our solution returns an accumulated benefit–cost ratio of 2.7 over the period, which is a significant improvement over previous findings. This underlines the importance of optimal prioritization schemes of where and when to invest in bicycle network expansions.

Suggested Citation

  • Paulsen, Mads & Rich, Jeppe, 2023. "Societally optimal expansion of bicycle networks," Transportation Research Part B: Methodological, Elsevier, vol. 174(C).
  • Handle: RePEc:eee:transb:v:174:y:2023:i:c:s0191261523000954
    DOI: 10.1016/j.trb.2023.06.002
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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. Mackie, Peter & Worsley, Tom & Eliasson, Jonas, 2014. "Transport appraisal revisited," Research in Transportation Economics, Elsevier, vol. 47(C), pages 3-18.
    3. Markus Schläpfer & Lei Dong & Kevin O’Keeffe & Paolo Santi & Michael Szell & Hadrien Salat & Samuel Anklesaria & Mohammad Vazifeh & Carlo Ratti & Geoffrey B. West, 2021. "The universal visitation law of human mobility," Nature, Nature, vol. 593(7860), pages 522-527, May.
    4. 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.
    5. Ralph Chapman & Michael Keall & Philippa Howden-Chapman & Mark Grams & Karen Witten & Edward Randal & Alistair Woodward, 2018. "A Cost Benefit Analysis of an Active Travel Intervention with Health and Carbon Emission Reduction Benefits," IJERPH, MDPI, vol. 15(5), pages 1-10, May.
    6. 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.
    7. Börjesson, Maria & Eliasson, Jonas, 2012. "The value of time and external benefits in bicycle appraisal," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(4), pages 673-683.
    8. Jen-Jia Lin & Chia-Jung Yu, 2013. "A bikeway network design model for urban areas," Transportation, Springer, vol. 40(1), pages 45-68, January.
    9. Hallberg, Martin & Rasmussen, Thomas Kjær & Rich, Jeppe, 2021. "Modelling the impact of cycle superhighways and electric bicycles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 149(C), pages 397-418.
    10. Boardman,Anthony E. & Greenberg,David H. & Vining,Aidan R. & Weimer,David L., 2018. "Cost-Benefit Analysis," Cambridge Books, Cambridge University Press, number 9781108415996.
    11. 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.
    12. Liu, Haoxiang & Szeto, W.Y. & Long, Jiancheng, 2019. "Bike network design problem with a path-size logit-based equilibrium constraint: Formulation, global optimization, and matheuristic," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 284-307.
    13. Louise Foley & Dorothea Dumuid & Andrew J Atkin & Katrien Wijndaele & David Ogilvie & Timothy Olds, 2019. "Cross-sectional and longitudinal associations between active commuting and patterns of movement behaviour during discretionary time: A compositional data analysis," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-19, August.
    14. 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.
    15. Standen, Christopher & Greaves, Stephen & Collins, Andrew T. & Crane, Melanie & Rissel, Chris, 2019. "The value of slow travel: Economic appraisal of cycling projects using the logsum measure of consumer surplus," Transportation Research Part A: Policy and Practice, Elsevier, vol. 123(C), pages 255-268.
    16. Ray Pritchard, 2018. "Revealed Preference Methods for Studying Bicycle Route Choice—A Systematic Review," IJERPH, MDPI, vol. 15(3), pages 1-30, March.
    17. Roger Vickerman, 2007. "Cost — Benefit Analysis and Large-Scale Infrastructure Projects: State of the Art and Challenges," Environment and Planning B, , vol. 34(4), pages 598-610, August.
    18. Boardman,Anthony E. & Greenberg,David H. & Vining,Aidan R. & Weimer,David L., 2018. "Cost-Benefit Analysis," Cambridge Books, Cambridge University Press, number 9781108401296.
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