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Valuing in-vehicle comfort and crowding reduction in public transport

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Abstract

The purpose of the present study is to estimate the WTP for comfort, i.e. to get a seat, and crowding reduction on board local public transport in Sweden, including the modes metro, tram, commuter train, and local bus. We use data from a stated preference-study conducted in the three largest urban areas of Sweden. Respondents were recruited both during a trip and from a web panel. The stated preference-questions consisted of four attributes: travel cost, travel time, seating or standing during the trip, and crowding level. Crowding level was illustrated by pictures showing different number of standing travelers per square meter. The estimated results suggest a WTP for seating of SEK 30 to 37 (SEK 10 approximately equal EUR 1) per hour depending on the crowding level. A reduction to no standing passengers from 4 and 8 standing passengers per square meter is valued SEK 12-13 and 27-32 respectively, depending on seating or standing condition. A reduction to no standing passengers from 1 standing passenger per square meter is not worth anything when the traveler is seating but SEK 8 when the traveler is standing. If we instead interpret our estimated results as value of travel time saving-multipliers, the worst travel condition in our study, i.e. standing in a crowding of 8 standing passengers per square meter, has a multiplier of about 2.1. All in all, our results seem plausible as they lies in the middle of comparable estimated results from earlier studies that have valuated comfort and crowding reductions. Finally, sensitivity analysis also show that the results seem to be both robust and in line with value of travel time savings-knowledge.

Suggested Citation

  • Björklund, Gunilla & Swärdh, Jan-Erik, 2015. "Valuing in-vehicle comfort and crowding reduction in public transport," Working papers in Transport Economics 2015:12, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
  • Handle: RePEc:hhs:ctswps:2015_012
    Note: Later updated version published as CTS working paper 2016:2
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    File URL: http://www.transportportal.se/swopec/CTS2015-12.pdf
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    References listed on IDEAS

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    1. Erik Meijer & Jan Rouwendal, 2006. "Measuring welfare effects in models with random coefficients," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(2), pages 227-244, March.
    2. Jonas Eliasson & Mattias Lundberg, 2011. "Do Cost--Benefit Analyses Influence Transport Investment Decisions? Experiences from the Swedish Transport Investment Plan 2010--21," Transport Reviews, Taylor & Francis Journals, vol. 32(1), pages 29-48, April.
    3. David Hensher & William Greene, 2003. "The Mixed Logit model: The state of practice," Transportation, Springer, vol. 30(2), pages 133-176, May.
    4. Haywood, Luke & Koning, Martin, 2015. "The distribution of crowding costs in public transport: New evidence from Paris," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 182-201.
    5. Anne Rozan, 2004. "Benefit Transfer : A Comparison of WTP for Air Quality between France and Germany," Post-Print hal-00278980, HAL.
    6. David Revelt & Kenneth Train, 1998. "Mixed Logit With Repeated Choices: Households' Choices Of Appliance Efficiency Level," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 647-657, November.
    7. Basu, Debasis & Hunt, John Douglas, 2012. "Valuing of attributes influencing the attractiveness of suburban train service in Mumbai city: A stated preference approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(9), pages 1465-1476.
    8. Mark Wardman & Gerard Whelan, 2011. "Twenty Years of Rail Crowding Valuation Studies: Evidence and Lessons from British Experience," Transport Reviews, Taylor & Francis Journals, vol. 31(3), pages 379-398.
    9. Mackie, P.J. & Jara-Díaz, S. & Fowkes, A.S., 0. "The value of travel time savings in evaluation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 37(2-3), pages 91-106, April.
    10. Li, Zheng & Hensher, David A., 2011. "Crowding and public transport: A review of willingness to pay evidence and its relevance in project appraisal," Transport Policy, Elsevier, vol. 18(6), pages 880-887, November.
    11. Anne Rozan, 2004. "Benefit Transfer: A Comparison of WTP for Air Quality between France and Germany," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 29(3), pages 295-306, November.
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    More about this item

    Keywords

    Public transport; Comfort; Crowding; Willingness to pay; Value of travel time savings;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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