IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v200y2025ics0965856425002563.html

Mode-choice modelling of a sustainable mobility transition considering different bicycle types

Author

Listed:
  • de Freitas, Lucas Meyer
  • Bekhor, Shlomo
  • Axhausen, Kay W.

Abstract

This paper investigates the mode-shift potentials of a road-space reallocation policy to reduce car use, improve liveability, and reduce transport-related emissions in urban areas. We show the mode-choice effects of repurposing 46 % of Zürich road surface area from cars to bicycles, e-bikes (25 km/h) and s-pedelecs (45 km/h) as well as internalizing external transport costs. The preferences for the different modes are analysed and discussed through the estimation of an Integrated Choice and Latent Variable mode-choice model. The model results show how s-pedelecs and e-bikes have a substantially higher demand potential than conventional bicycles among car drivers. At the same time, latent preferences are not only defined through car ownership in a binary way, namely owning a car or not, but also vary substantially when comparing owners of different car types. Besides considering individual-specific cycling travel times for the three different bicycle types, we also advance mode-choice modelling for cycling by introducing a new cycling infrastructure interaction parameter that includes route-specific cycling infrastructure information. Findings show that reallocating road space is more effective in promoting sustainable mobility than pricing mechanisms alone, highlighting the need for integrated policy measures to facilitate behavioral change.

Suggested Citation

  • de Freitas, Lucas Meyer & Bekhor, Shlomo & Axhausen, Kay W., 2025. "Mode-choice modelling of a sustainable mobility transition considering different bicycle types," Transportation Research Part A: Policy and Practice, Elsevier, vol. 200(C).
  • Handle: RePEc:eee:transa:v:200:y:2025:i:c:s0965856425002563
    DOI: 10.1016/j.tra.2025.104628
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856425002563
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tra.2025.104628?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    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. Scorrano, Mariangela & Danielis, Romeo, 2021. "Active mobility in an Italian city: Mode choice determinants and attitudes before and during the Covid-19 emergency," Research in Transportation Economics, Elsevier, vol. 86(C).
    3. Ralph Buehler & John Pucher & Regine Gerike & Thomas Götschi, 2017. "Reducing car dependence in the heart of Europe: lessons from Germany, Austria, and Switzerland," Transport Reviews, Taylor & Francis Journals, vol. 37(1), pages 4-28, January.
    4. Böcker, Lars & Dijst, Martin & Faber, Jan, 2016. "Weather, transport mode choices and emotional travel experiences," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 360-373.
    5. Weibo Li & Maria Kamargianni, 2020. "An Integrated Choice and Latent Variable Model to Explore the Influence of Attitudinal and Perceptual Factors on Shared Mobility Choices and Their Value of Time Estimation," Transportation Science, INFORMS, vol. 54(1), pages 62-83, January.
    6. Rau, Henrike & Manton, Richard, 2016. "Life events and mobility milestones: Advances in mobility biography theory and research," Journal of Transport Geography, Elsevier, vol. 52(C), pages 51-60.
    7. Hopkinson, P & Wardman, M, 1996. "Evaluating the demand for new cycle facilities," Transport Policy, Elsevier, vol. 3(4), pages 241-249, October.
    8. Matthew Wigginton Bhagat-Conway & Laura Mirtich & Deborah Salon & Nathan Harness & Alexis Consalvo & Shuyao Hong, 2024. "Subjective variables in travel behavior models: a critical review and Standardized Transport Attitude Measurement Protocol (STAMP)," Transportation, Springer, vol. 51(1), pages 155-191, February.
    9. 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.
    10. Börjesson, Maria & Kristoffersson, Ida, 2018. "The Swedish congestion charges: Ten years on," Transportation Research Part A: Policy and Practice, Elsevier, vol. 107(C), pages 35-51.
    11. Begoña Muñoz & Andres Monzon & Ricardo A. Daziano, 2016. "The Increasing Role of Latent Variables in Modelling Bicycle Mode Choice," Transport Reviews, Taylor & Francis Journals, vol. 36(6), pages 737-771, November.
    12. Gurumurthy, Krishna Murthy & Kockelman, Kara M., 2020. "Modeling Americans’ autonomous vehicle preferences: A focus on dynamic ride-sharing, privacy & long-distance mode choices," Technological Forecasting and Social Change, Elsevier, vol. 150(C).
    13. Wardman, Mark & Tight, Miles & Page, Matthew, 2007. "Factors influencing the propensity to cycle to work," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(4), pages 339-350, May.
    14. Choo, Sangho & Mokhtarian, Patricia L., 2004. "What type of vehicle do people drive? The role of attitude and lifestyle in influencing vehicle type choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(3), pages 201-222, March.
    15. Kathleen Cohen, 2019. "Human Behavior and New Mobility Trends in the United States, Europe, and China," Working Papers 2019.24, Fondazione Eni Enrico Mattei.
    16. Cherchi, Elisabetta, 2017. "A stated choice experiment to measure the effect of informational and normative conformity in the preference for electric vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 88-104.
    17. 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.
    18. Kyung Hwan Lee & Eun Jeong Ko, 2014. "Relationships between neighbourhood environments and residents' bicycle mode choice: a case study of Seoul," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 18(3), pages 383-395, November.
    19. Rim Rejeb & Hélène Bouscasse & Aïna Chalabaev & Sandrine Mathy, 2023. "What is the role of active mobility habits in the relationship between self-determination and modal shift intentions? A mediation analysis," Post-Print hal-03940743, HAL.
    20. Meister, Adrian & Felder, Matteo & Schmid, Basil & Axhausen, Kay W., 2023. "Route choice modeling for cyclists on urban networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    21. Wardman, Mark & Chintakayala, V. Phani K. & de Jong, Gerard, 2016. "Values of travel time in Europe: Review and meta-analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 93-111.
    22. Carlo Giacomo Prato & Katrín Halldórsdóttir & Otto Anker Nielsen, 2017. "Latent lifestyle and mode choice decisions when travelling short distances," Transportation, Springer, vol. 44(6), pages 1343-1363, November.
    23. Lowry, Michael B. & Furth, Peter & Hadden-Loh, Tracy, 2016. "Prioritizing new bicycle facilities to improve low-stress network connectivity," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 124-140.
    24. Michael Hardinghaus & Panagiotis Papantoniou, 2020. "Evaluating Cyclists’ Route Preferences with Respect to Infrastructure," Sustainability, MDPI, vol. 12(8), pages 1-18, April.
    25. Hess, Stephane & Palma, David, 2019. "Apollo: A flexible, powerful and customisable freeware package for choice model estimation and application," Journal of choice modelling, Elsevier, vol. 32(C), pages 1-1.
    26. Andrew Daly & Stephane Hess & Bhanu Patruni & Dimitris Potoglou & Charlene Rohr, 2012. "Using ordered attitudinal indicators in a latent variable choice model: a study of the impact of security on rail travel behaviour," Transportation, Springer, vol. 39(2), pages 267-297, March.
    27. Santos, Georgina & Maoh, Hanna & Potoglou, Dimitris & von Brunn, Thomas, 2013. "Factors influencing modal split of commuting journeys in medium-size European cities," Journal of Transport Geography, Elsevier, vol. 30(C), pages 127-137.
    28. Yáñez, M.F. & Raveau, S. & Ortúzar, J. de D., 2010. "Inclusion of latent variables in Mixed Logit models: Modelling and forecasting," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(9), pages 744-753, November.
    29. Ballo, Lukas & de Freitas, Lucas Meyer & Meister, Adrian & Axhausen, Kay W., 2023. "The E-Bike City as a radical shift toward zero-emission transport: Sustainable? Equitable? Desirable?," Journal of Transport Geography, Elsevier, vol. 111(C).
    30. Jin, Fanglei & An, Kun & Yao, Enjian, 2020. "Mode choice analysis in urban transport with shared battery electric vehicles: A stated-preference case study in Beijing, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 95-108.
    31. Meyer de Freitas, Lucas & Axhausen, Kay W., 2024. "The influence of individual physical capabilities for cycling adoption: Understanding its influence and mode-shift potentials," Transportation Research Part A: Policy and Practice, Elsevier, vol. 185(C).
    32. Vij, Akshay & Walker, Joan L., 2016. "How, when and why integrated choice and latent variable models are latently useful," Transportation Research Part B: Methodological, Elsevier, vol. 90(C), pages 192-217.
    33. 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.
    34. Lipscy, Phillip Y. & Schipper, Lee, 2013. "Energy efficiency in the Japanese transport sector," Energy Policy, Elsevier, vol. 56(C), pages 248-258.
    35. repec:hal:journl:hal-04267784 is not listed on IDEAS
    36. Greg Marsden, & Jillian Anable, & Chatterton, Tim & Docherty, Iain & Faulconbridge, James & Murray, Lesley & Roby, Helen & Shires, Jeremy, 2020. "Studying disruptive events: Innovations in behaviour, opportunities for lower carbon transport policy?," Transport Policy, Elsevier, vol. 94(C), pages 89-101.
    37. Zhang, Qianran & Ma, Shoufeng & Tian, Junfang & Rose, John M. & Jia, Ning, 2022. "Mode choice between autonomous vehicles and manually-driven vehicles: An experimental study of information and reward," Transportation Research Part A: Policy and Practice, Elsevier, vol. 157(C), pages 24-39.
    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. Márquez, Luis & Soto, Jose J., 2021. "Integrating perceptions of safety and bicycle theft risk in the analysis of cycling infrastructure preferences," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 285-301.
    2. Kim, Seheon & Rasouli, Soora, 2022. "The influence of latent lifestyle on acceptance of Mobility-as-a-Service (MaaS): A hierarchical latent variable and latent class approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 304-319.
    3. Zhang, Lihong & Liu, Yan & Lieske, Scott N. & Corcoran, Jonathan, 2022. "Using modality styles to understand cycling dissonance: The role of the street-scale environment in commuters' travel mode choice," Journal of Transport Geography, Elsevier, vol. 103(C).
    4. Börjesson, Maria & Eliasson, Jonas, 2026. "Reducing traffic with “carrots”: A review of the evidence," Transportation Research Part A: Policy and Practice, Elsevier, vol. 203(C).
    5. Rossetti, Tomás & Guevara, C. Angelo & Galilea, Patricia & Hurtubia, Ricardo, 2018. "Modeling safety as a perceptual latent variable to assess cycling infrastructure," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 252-265.
    6. Mohiuddin, Hossain & Bunch, David S. & Fukushige, Tatsuya & Fitch-Polse, Dillon T. & Handy, Susan L., 2025. "What factors influence the adoption and use of dockless electric bike-share? A case study from the Sacramento region," Transportation Research Part A: Policy and Practice, Elsevier, vol. 199(C).
    7. Mahdi Rashidi & Seyed-Mohammad Seyedhosseini & Ali Naderan, 2023. "Defining Psychological Factors of Cycling in Tehran City," Sustainability, MDPI, vol. 15(4), pages 1-17, February.
    8. Björklund, Gunilla & Mortazavi , Reza, 2013. "Influences of infrastructure and attitudes to health on value of travel time savings in bicycle journeys," Working papers in Transport Economics 2013:35, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    9. Wiedemann, Nina & Nöbel, Christian & Ballo, Lukas & Martin, Henry & Raubal, Martin, 2025. "Bike network planning in limited urban space," Transportation Research Part B: Methodological, Elsevier, vol. 192(C).
    10. 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.
    11. 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.
    12. Paulsen, Mads & Rich, Jeppe, 2023. "Societally optimal expansion of bicycle networks," Transportation Research Part B: Methodological, Elsevier, vol. 174(C).
    13. 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.
    14. Schmid, Basil & Becker, Felix & Axhausen, Kay W. & Widmer, Paul & Stein, Petra, 2023. "A simultaneous model of residential location, mobility tool ownership and mode choice using latent variables," Transportation Research Part A: Policy and Practice, Elsevier, vol. 178(C).
    15. McArthur, David Philip & Hong, Jinhyun, 2019. "Visualising where commuting cyclists travel using crowdsourced data," Journal of Transport Geography, Elsevier, vol. 74(C), pages 233-241.
    16. 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).
    17. Ruiz, Tomás & Bernabé, José C., 2014. "Measuring factors influencing valuation of nonmotorized improvement measures," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 195-211.
    18. Lanzendorf, Martin & Busch-Geertsema, Annika, 2014. "The cycling boom in large German cities—Empirical evidence for successful cycling campaigns," Transport Policy, Elsevier, vol. 36(C), pages 26-33.
    19. Büchel, Beda & Marra, Alessio Daniele & Corman, Francesco, 2022. "COVID-19 as a window of opportunity for cycling: Evidence from the first wave," Transport Policy, Elsevier, vol. 116(C), pages 144-156.
    20. John Buckell & David A Hensher & Stephane Hess, 2021. "Kicking the habit is hard: A hybrid choice model investigation into the role of addiction in smoking behavior," Health Economics, John Wiley & Sons, Ltd., vol. 30(1), pages 3-19, January.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:eee:transa:v:200:y:2025:i:c:s0965856425002563. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    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.