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Transport user benefits calculation with the “Rule of a Half” for travel demand models with constraints

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  • Winkler, Christian

Abstract

The importance of user benefits in transport projects assessments is well-known by transport planners and economists. Generally they have the greatest impact on the result of cost-benefit analysis. It is common practice to adopt the consumer surplus measure for calculating transport user benefits. Normally the well-known “Rule of a Half”, as a practical approximation for the integral of the demand curve, is used to determine the change of consumer surplus. Changes in travel demand and consumer surplus are influenced by all modeled changing variables, which primarily comprise the generalized costs. However, travel demand models with multiple constraints additionally contain variable “shadow prices”, added to the generalized costs. Such models are often used for travel demand modeling of large-scale areas. The most discussed and well-known model in the field of transport modeling is the doubly constrained gravity model. Beside this model with inelastic constraints, there are also more flexible models with elastic constraints. In this paper we enter into the question of whether applying the Rule of a Half with regard only to the generalized costs and neglecting the shadow prices is valid in the case of travel demand models with multiple constraints. For this purpose, a theoretical analysis in this paper provides a mathematical proof.

Suggested Citation

  • Winkler, Christian, 2015. "Transport user benefits calculation with the “Rule of a Half” for travel demand models with constraints," Research in Transportation Economics, Elsevier, vol. 49(C), pages 36-42.
  • Handle: RePEc:eee:retrec:v:49:y:2015:i:c:p:36-42
    DOI: 10.1016/j.retrec.2015.04.004
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    References listed on IDEAS

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    1. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    2. Small, Kenneth A & Rosen, Harvey S, 1981. "Applied Welfare Economics with Discrete Choice Models," Econometrica, Econometric Society, vol. 49(1), pages 105-130, January.
    3. Vrtic, M. & Fröhlich, P. & Schüssler, N. & Axhausen, K.W. & Lohse, D. & Schiller, C. & Teichert, H., 2007. "Two-dimensionally constrained disaggregate trip generation, distribution and mode choice model: Theory and application for a Swiss national model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(9), pages 857-873, November.
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    Cited by:

    1. Shatanawi, Mohamad & Alatawneh, Anas & Mészáros, Ferenc, 2022. "Implications of static and dynamic road pricing strategies in the era of autonomous and shared autonomous vehicles using simulation-based dynamic traffic assignment: The case of Budapest," Research in Transportation Economics, Elsevier, vol. 95(C).
    2. Mohamad Shatanawi & Ferenc Mészáros, 2022. "Implications of the Emergence of Autonomous Vehicles and Shared Autonomous Vehicles: A Budapest Perspective," Sustainability, MDPI, vol. 14(17), pages 1-19, September.

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    More about this item

    Keywords

    Consumer surplus; Rule of a Half; Travel demand model; Multinomial logit model; Constraints;
    All these keywords.

    JEL classification:

    • C65 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Miscellaneous Mathematical Tools
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning

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