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The experienced mode choice set and its determinants: Commuting trips in the Netherlands

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  • Ton, Danique
  • Bekhor, Shlomo
  • Cats, Oded
  • Duives, Dorine C.
  • Hoogendoorn-Lanser, Sascha
  • Hoogendoorn, Serge P.

Abstract

Active modes take up an increasingly important place on the global policy-making agenda. In the Netherlands, a country that is well-known for its high shares of walking and cycling, the government aims at achieving a modal shift among 200,000 commuting car drivers towards using the bicycle. To this end, policy measures need to be introduced. When the aim is to achieve a modal switch over an enduring period of time, it is more relevant to know the likelihood of including or excluding a mode in the mode choice set, compared to choosing a mode for a single trip. Therefore, we investigate the formation of the experienced choice set (set of modes used over a long period of time), where the aim is to identify determinants that influence the inclusion or exclusion of a mode in this set. We estimate discrete choice models, based on survey data from the Netherlands Mobility Panel (MPN) and a complementary survey, where individuals were asked to report the frequency of using certain modes of transport for commuting trips over the course of half a year. This study shows that the experienced choice set for commuting is unimodal for the majority of the individuals, and remains constant over time for most individuals. Reimbursement by the employer for using a certain mode is the most important determinant influencing the experienced choice set, followed by ownership characteristics and urban density. We show that the mode choice set formation depends on more determinants than previously assumed.

Suggested Citation

  • Ton, Danique & Bekhor, Shlomo & Cats, Oded & Duives, Dorine C. & Hoogendoorn-Lanser, Sascha & Hoogendoorn, Serge P., 2020. "The experienced mode choice set and its determinants: Commuting trips in the Netherlands," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 744-758.
    • Handle: RePEc:eee:transa:v:132:y:2020:i:c:p:744-758
    DOI: 10.1016/j.tra.2019.12.027
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    as
    1. Kamargianni, Maria, 2015. "Investigating next generation's cycling ridership to promote sustainable mobility in different types of cities," Research in Transportation Economics, Elsevier, vol. 53(C), pages 45-55.
    2. Eva Heinen & Kees Maat & Bert Wee, 2013. "The effect of work-related factors on the bicycle commute mode choice in the Netherlands," Transportation, Springer, vol. 40(1), pages 23-43, January.
    3. Heinen, Eva & Chatterjee, Kiron, 2015. "The same mode again? An exploration of mode choice variability in Great Britain using the National Travel Survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 266-282.
    4. Molin, Eric & Mokhtarian, Patricia & Kroesen, Maarten, 2016. "Multimodal travel groups and attitudes: A latent class cluster analysis of Dutch travelers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 83(C), pages 14-29.
    5. 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.
    6. Vij, Akshay & Gorripaty, Sreeta & Walker, Joan L., 2017. "From trend spotting to trend ’splaining: Understanding modal preference shifts in the San Francisco Bay Area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 238-258.
    7. Cantillo, Víctor & Ortúzar, Juan de Dios, 2005. "A semi-compensatory discrete choice model with explicit attribute thresholds of perception," Transportation Research Part B: Methodological, Elsevier, vol. 39(7), pages 641-657, August.
    8. Vij, Akshay, 2013. "Incorporating the Influence of Latent Modal Preferences in Travel Demand Models," University of California Transportation Center, Working Papers qt7nq9p0cv, University of California Transportation Center.
    9. Vij, Akshay, 2013. "Incorporating the Influence of Latent Modal Preferences in Travel Demand Models," University of California Transportation Center, Working Papers qt7ng2z24q, University of California Transportation Center.
    10. Michel Bierlaire, 2006. "A theoretical analysis of the cross-nested logit model," Annals of Operations Research, Springer, vol. 144(1), pages 287-300, April.
    11. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    12. Swait, Joffre & Ben-Akiva, Moshe, 1987. "Empirical test of a constrained choice discrete model: Mode choice in São Paulo, Brazil," Transportation Research Part B: Methodological, Elsevier, vol. 21(2), pages 103-115, April.
    13. Hensher, David A. & Ho, Chinh Q., 2016. "Experience conditioning in commuter modal choice modelling – Does it make a difference?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 95(C), pages 164-176.
    14. Khandker Nurul Habib & Yuan Tian & Hamid Zaman, 2011. "Modelling commuting mode choice with explicit consideration of carpool in the choice set formation," Transportation, Springer, vol. 38(4), pages 587-604, July.
    15. Pike, Susan & Lubell, Mark, 2018. "The conditional effects of social influence in transportation mode choice," Research in Transportation Economics, Elsevier, vol. 68(C), pages 2-10.
    16. Lavery, T.A. & Páez, A. & Kanaroglou, P.S., 2013. "Driving out of choices: An investigation of transport modality in a university sample," Transportation Research Part A: Policy and Practice, Elsevier, vol. 57(C), pages 37-46.
    17. Bhat, Chandra R., 1995. "A heteroscedastic extreme value model of intercity travel mode choice," Transportation Research Part B: Methodological, Elsevier, vol. 29(6), pages 471-483, December.
    18. Gerard Jong & Andrew Daly & Marits Pieters & Stephen Miller & Ronald Plasmeijer & Frank Hofman, 2007. "Uncertainty in traffic forecasts: literature review and new results for The Netherlands," Transportation, Springer, vol. 34(4), pages 375-395, July.
    19. Swait, Joffre & Ben-Akiva, Moshe, 1987. "Incorporating random constraints in discrete models of choice set generation," Transportation Research Part B: Methodological, Elsevier, vol. 21(2), pages 91-102, April.
    20. Whalen, Kate E. & Páez, Antonio & Carrasco, Juan A., 2013. "Mode choice of university students commuting to school and the role of active travel," Journal of Transport Geography, Elsevier, vol. 31(C), pages 132-142.
    21. 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.
    22. Vij, Akshay & Carrel, André & Walker, Joan L., 2013. "Incorporating the influence of latent modal preferences on travel mode choice behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 54(C), pages 164-178.
    23. Kamargianni, Maria & Dubey, Subodh & Polydoropoulou, Amalia & Bhat, Chandra, 2015. "Investigating the subjective and objective factors influencing teenagers’ school travel mode choice – An integrated choice and latent variable model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 473-488.
    24. Ton, Danique & Duives, Dorine C. & Cats, Oded & Hoogendoorn-Lanser, Sascha & Hoogendoorn, Serge P., 2019. "Cycling or walking? Determinants of mode choice in the Netherlands," Transportation Research Part A: Policy and Practice, Elsevier, vol. 123(C), pages 7-23.
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