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An aggregate measure of travel utility

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  • Sweet, Richard John

Abstract

The paper examines the effect of separating the total utility associated with a choice into components associated with the choice itself and with the transaction or travel involved in realising the choice. It derives an aggregate measure of transaction utility based on the logit model of choice and an interpretation is given in terms of random utility theory. The main interest lies in exploring aggregate measures of the transaction utility, since these can be used to generate costs for an aggregate model which will be consistent with the parent disaggregate model and can also be used to form the basis of such summary measures of travel as accessibility indices. Finally, the transaction component is used to identify the travel component of a consumers' surplus measure of benefit and thus enable the consumers' surplus to be disaggregated into travel and locational benefits.

Suggested Citation

  • Sweet, Richard John, 1997. "An aggregate measure of travel utility," Transportation Research Part B: Methodological, Elsevier, vol. 31(5), pages 403-416, October.
    • Handle: RePEc:eee:transb:v:31:y:1997:i:5:p:403-416
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    References listed on IDEAS

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    1. Pooler, James A., 1995. "The use of spatial separation in the measurement of transportation accessibility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 29(6), pages 421-427, November.
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    Cited by:

    1. Vold, Arild, 2005. "Optimal land use and transport planning for the Greater Oslo area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(6), pages 548-565, July.
    2. Ivanova, Olga, 2005. "A note on the consistent aggregation of nested logit demand functions," Transportation Research Part B: Methodological, Elsevier, vol. 39(10), pages 890-895, December.
    3. Cats, Oded & Koutsopoulos, Haris N. & Burghout, Wilco & Toledo, Tomer, 2013. "Effect of real-time transit information on dynamic path choice of passengers," Working papers in Transport Economics 2013:28, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    4. Cascetta, Ennio & Cartenì, Armando & Montanino, Marcello, 2016. "A behavioral model of accessibility based on the number of available opportunities," Journal of Transport Geography, Elsevier, vol. 51(C), pages 45-58.
    5. Jang, Seongman & Lee, Seungil, 2020. "Study of the regional accessibility calculation by income class based on utility-based accessibility," Journal of Transport Geography, Elsevier, vol. 84(C).

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