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Valuation of sitting and standing in metro trains using revealed preferences

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  • Tirachini, Alejandro
  • Sun, Lijun
  • Erath, Alexander
  • Chakirov, Artem

Abstract

The estimation of differences in the value of in-vehicle time sitting and standing is usually made with stated choice (SC) data, partly due to the lack of revealed preference data. In this paper, we use the observed behaviour of a subset of metro users in Singapore, who are willing to travel a longer time (into the opposite direction or backwards) to secure a seat for the actual trip in the direction towards their destination. We use smart card transactions to estimate the share of users who are willing to travel in the opposite direction during the first part of their trip and the average train occupancy per section to estimate differences in the valuation of travel time sitting and standing – translated into a standing multiplier or standing premium, which is analogous to the crowding multiplier that is usually found in the crowding valuation literature. We find that the standing multiplier is between 1.18 and 1.24 with the current crowding levels in the morning peak and can be as much as 1.55 with a density of 3 standing passengers per square metre. The results are compared to previous SC studies from other countries. The values found here are an indication of a standing premium that can be used to assess the social benefit of increasing the seat capacity of a public transport system and of applying peak spreading strategies.

Suggested Citation

  • Tirachini, Alejandro & Sun, Lijun & Erath, Alexander & Chakirov, Artem, 2016. "Valuation of sitting and standing in metro trains using revealed preferences," Transport Policy, Elsevier, vol. 47(C), pages 94-104.
  • Handle: RePEc:eee:trapol:v:47:y:2016:i:c:p:94-104
    DOI: 10.1016/j.tranpol.2015.12.004
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    References listed on IDEAS

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    1. Timmins, Christopher & Murdock, Jennifer, 2007. "A revealed preference approach to the measurement of congestion in travel cost models," Journal of Environmental Economics and Management, Elsevier, vol. 53(2), pages 230-249, March.
    2. Mohring, Herbert, 1972. "Optimization and Scale Economies in Urban Bus Transportation," American Economic Review, American Economic Association, vol. 62(4), pages 591-604, September.
    3. Tirachini, Alejandro & Hensher, David A. & Rose, John M., 2014. "Multimodal pricing and optimal design of urban public transport: The interplay between traffic congestion and bus crowding," Transportation Research Part B: Methodological, Elsevier, vol. 61(C), pages 33-54.
    4. Börjesson, Maria & Eliasson, Jonas & Franklin, Joel, 2012. "Valuations of travel time variability in scheduling versus mean-variance models," Working papers in Transport Economics 2012:2, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    5. Raveau, Sebastián & Muñoz, Juan Carlos & de Grange, Louis, 2011. "A topological route choice model for metro," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(2), pages 138-147, February.
    6. 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.
    7. 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.
    8. Sergio Jara-Díaz & Antonio Gschwender, 2003. "Towards a general microeconomic model for the operation of public transport," Transport Reviews, Taylor & Francis Journals, vol. 23(4), pages 453-469, July.
    9. 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.
    10. Bates, John & Polak, John & Jones, Peter & Cook, Andrew, 0. "The valuation of reliability for personal travel," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 37(2-3), pages 191-229, April.
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