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Capacity constraints in urban transport networks

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  • Ferrari, Paolo

Abstract

This paper deals with the equilibrium problem of asymmetric transport networks with elastic demand and capacity constraints. It shows that a homogeneous linear relationship exists between the operator of the variational inequality usually considered in the theory of transport networks and the gradients of the constraints. This linear relationship provides confirmation of a result obtained in a previous paper: a solution of the variational inequality may not be an equilibrium solution, and a transport network may have no equilibrium pattern which satisfies the capacity constraints. However additional costs can be imposed on some network links, in such a way that a solution of the variational inequality becomes the unique equilibrium solution for the transport network. The paper shows that these additional costs are linear combinations of the coefficients of the gradients of the capacity constraints, and that the way they can be applied to actual transport networks essentially depends on the way the latter are managed. A method of computing both the equilibrium flow pattern and the additional costs is presented, and is applied to the actual networks of three italian cities, where the additional costs are imposed on drivers as parking taxes at the destination zones of the central areas.

Suggested Citation

  • Ferrari, Paolo, 1997. "Capacity constraints in urban transport networks," Transportation Research Part B: Methodological, Elsevier, vol. 31(4), pages 291-301, August.
  • Handle: RePEc:eee:transb:v:31:y:1997:i:4:p:291-301
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    References listed on IDEAS

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    Cited by:

    1. Ferrari, Paolo, 1999. "A model of urban transport management," Transportation Research Part B: Methodological, Elsevier, vol. 33(1), pages 43-61, February.
    2. Ferrari, Paolo, 2002. "Road network toll pricing and social welfare," Transportation Research Part B: Methodological, Elsevier, vol. 36(5), pages 471-483, June.
    3. Michael Patriksson & R. Tyrrell Rockafellar, 2002. "A Mathematical Model and Descent Algorithm for Bilevel Traffic Management," Transportation Science, INFORMS, vol. 36(3), pages 271-291, August.
    4. Ferrari, Paolo, 2005. "Road pricing and users' surplus," Transport Policy, Elsevier, vol. 12(6), pages 477-487, November.
    5. D'Acierno, Luca & Gallo, Mariano & Montella, Bruno, 2006. "Optimisation models for the urban parking pricing problem," Transport Policy, Elsevier, vol. 13(1), pages 34-48, January.
    6. Zhou, Bojian & Bliemer, Michiel & Yang, Hai & He, Jie, 2015. "A trial-and-error congestion pricing scheme for networks with elastic demand and link capacity constraints," Transportation Research Part B: Methodological, Elsevier, vol. 72(C), pages 77-92.
    7. Qiang Meng & Zhiyuan Liu, 2011. "Trial-and-error method for congestion pricing scheme under side-constrained probit-based stochastic user equilibrium conditions," Transportation, Springer, vol. 38(5), pages 819-843, September.
    8. Ferrari, Paolo, 2010. "Willingness to spend and road pricing rates," Transport Policy, Elsevier, vol. 17(3), pages 160-172, May.
    9. Liu, Zhiyuan & Wang, Zewen & Cheng, Qixiu & Yin, Ruyang & Wang, Meng, 2021. "Estimation of urban network capacity with second-best constraints for multimodal transport systems," Transportation Research Part B: Methodological, Elsevier, vol. 152(C), pages 276-294.
    10. Hai Yang, 1999. "Evaluating the benefits of a combined route guidance and road pricing system in a traffic network with recurrent congestion," Transportation, Springer, vol. 26(3), pages 299-322, August.
    11. Zhou, Xuemei & Huang, Huang & Jia, Xinchang & Jiang, Nan, 2014. "Integrated passenger terminal capacity analysis under the capacity constraints of surrounding road network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 414(C), pages 194-203.

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