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Valuation of travel time savings in the presence of simultaneous activities

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  • Jacek Pawlak
  • John Polak

Abstract

Time sharing between activities remains an indispensable part of everyday activity pattern. However, the issue has not yet been fully acknowledged within the existing time allocation models, potentially resulting in inaccuracies in valuing travel time savings. Therefore this study is aimed at addressing this gap by investigating the potential impact of introducing time sharing within such a framework, as well as factors determining it as represented by travel activities. In doing so, time constraint in the time allocation model of Small was modified to enable sharing the same time interval between different activities. The resulting expression indicated that such an augmentation could lead to lower estimates of value of time as a resource. On the other hand, empirical research based on the data from the National Passenger Survey 2004 used for calibrating cross-nested logit model indicated a number of factors affecting the choice of travel activities. It was discovered that significant include possession of equipment allowing particular activities, e.g. newspaper, paperwork or ICT devices, companionship, gender, length of the journey, frequency of using the service, possibility of working on the train, journey planning in advance, first class travel, termination of the trip in central London, peak-time travel and availability of seating.

Suggested Citation

  • Jacek Pawlak & John Polak, 2024. "Valuation of travel time savings in the presence of simultaneous activities," Papers 2407.08312, arXiv.org.
    • Handle: RePEc:arx:papers:2407.08312
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    1. Lyons, Glenn & Jain, Juliet & Holley, David, 2007. "The use of travel time by rail passengers in Great Britain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(1), pages 107-120, January.
    2. Italo Meloni & Erika Spissu & Massimiliano Bez, 2007. "A Model of the Dynamic Process of Time Allocation to Discretionary Activities," Transportation Science, INFORMS, vol. 41(1), pages 15-28, February.
    3. Sergio Jara-Díaz, 2003. "On the goods-activities technical relations in the time allocation theory," Transportation, Springer, vol. 30(3), pages 245-260, August.
    4. Pagan, Adrian, 1987. "Three Econometric Methodologies: A Critical Appraisal," Journal of Economic Surveys, Wiley Blackwell, vol. 1(1), pages 3-24.
    5. Small, Kenneth A, 1982. "The Scheduling of Consumer Activities: Work Trips," American Economic Review, American Economic Association, vol. 72(3), pages 467-479, June.
    6. Kenneth Train, 2003. "Discrete Choice Methods with Simulation," Online economics textbooks, SUNY-Oswego, Department of Economics, number emetr2.
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