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Public transport: one mode or several?

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This paper develops a methodology for testing and implementing differences in preferences for a set of public transport modes, relating to observed and unobserved attributes, in state-of-practice large-scale travel demand models. Results of a case study for commuters in the Stockholm public transport system suggest that there are preference differences among public transport modes, and that they are captured by unobserved attributes. Surprisingly, we found no evidence for differences proportional to the in-vehicle time, suggesting that characteristics of in-vehicle time in different public transport modes, such as comfort, are valued equally by the travellers. We also found that the value of time is higher for auxiliary modes than for the main mode, and that the unobserved preference for metro is highest and the preference for light rail lowest.

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  • Lorenzo Varela , Juan Manuel & Börjesson, Maria & Daly, Andrew, 2017. "Public transport: one mode or several?," Working papers in Transport Economics 2017:6, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    • Handle: RePEc:hhs:ctswps:2017_006
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    1. Cramer, J. S. & Ridder, G., 1991. "Pooling states in the multinomial logit model," Journal of Econometrics, Elsevier, vol. 47(2-3), pages 267-272, February.
    2. Wardman, Mark, 2004. "Public transport values of time," Transport Policy, Elsevier, vol. 11(4), pages 363-377, October.
    3. Börjesson , Maria & Kristoffersson, Ida, 2017. "The Swedish congestion charges: ten years on: - and effects of increasing charging levels," Working papers in Transport Economics 2017:2, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    4. DeSerpa, A C, 1971. "A Theory of the Economics of Time," Economic Journal, Royal Economic Society, vol. 81(324), pages 828-846, December.
    5. Kremers, Hans & Nijkamp, Peter & Rietveld, Piet, 2002. "A meta-analysis of price elasticities of transport demand in a general equilibrium framework," Economic Modelling, Elsevier, vol. 19(3), pages 463-485, May.
    6. Guiver, J.W., 2007. "Modal talk: Discourse analysis of how people talk about bus and car travel," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(3), pages 233-248, March.
    7. Holmgren, Johan, 2007. "Meta-analysis of public transport demand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(10), pages 1021-1035, December.
    8. Ben-Akiva, Moshe & Morikawa, Takayuki, 2002. "Comparing ridership attraction of rail and bus," Transport Policy, Elsevier, vol. 9(2), pages 107-116, April.
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    JEL classification:

    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General

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