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Time-dependent transport network improvement and tolling strategies

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  • Szeto, W.Y.
  • Lo, Hong K.

Abstract

In times of constrained resources, the government has three strategies, among others, to improve the transportation network over the planning horizon without relying on public expenditures to finance these improvements. The first is the government-as-the-provider strategy where the government acts as the toll road operator who builds the infrastructure and collects enough tolls to maximize social surplus. The second is that the private sector acts as a monopoly, who builds all the toll roads based on the build-operate-transfer (BOT) scheme. The third is the competitive market strategy, in which the government allows multiple operators to build different toll roads and collect tolls in a competitive manner. Which strategy is the best To answer this question, this paper develops appropriate time-dependent network design models for each of these strategies, and examines the performances of these strategies in terms of consumer surplus, travel cost, social surplus, and profit over the planning horizon through numerical examples. A proof is given to point out that the government-as-the-provider strategy is the best in terms of social efficiency under some mild assumptions. This paper also discusses the practical and policy aspects of these strategies and the possible need of government regulations to constrain the design and management of BOT projects.

Suggested Citation

  • Szeto, W.Y. & Lo, Hong K., 2008. "Time-dependent transport network improvement and tolling strategies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(2), pages 376-391, February.
  • Handle: RePEc:eee:transa:v:42:y:2008:i:2:p:376-391
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    References listed on IDEAS

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    1. Zhang, Rong & Verhoef, Erik T., 2006. "A monopolistic market for advanced traveller information systems and road use efficiency," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(5), pages 424-443, June.
    2. McHardy, Jolian & Trotter, Stephen, 2006. "Competition and deregulation: Do air passengers get the benefits?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(1), pages 74-93, January.
    3. Chen, Anthony & Subprasom, Kitti, 2007. "Analysis of regulation and policy of private toll roads in a build-operate-transfer scheme under demand uncertainty," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(6), pages 537-558, July.
    4. Meng, Q. & Yang, H. & Bell, M. G. H., 2001. "An equivalent continuously differentiable model and a locally convergent algorithm for the continuous network design problem," Transportation Research Part B: Methodological, Elsevier, vol. 35(1), pages 83-105, January.
    5. Boyce, D. E. & Janson, B. N., 1980. "A discrete transportation network design problem with combined trip distribution and assignment," Transportation Research Part B: Methodological, Elsevier, vol. 14(1-2), pages 147-154.
    6. Anguera, Ricard, 2006. "The Channel Tunnel--an ex post economic evaluation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(4), pages 291-315, May.
    7. Hong K. Lo & W. Y. Szeto, 2004. "Planning transport network improvements over time," Chapters, in: Der-Horng Lee (ed.), Urban and Regional Transportation Modeling, chapter 9, Edward Elgar Publishing.
    8. Szeto, W.Y. & Lo, Hong K., 2006. "Transportation network improvement and tolling strategies: The issue of intergeneration equity," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(3), pages 227-243, March.
    9. Han, Deren & Lo, Hong K., 2004. "Solving non-additive traffic assignment problems: A descent method for co-coercive variational inequalities," European Journal of Operational Research, Elsevier, vol. 159(3), pages 529-544, December.
    10. Friesz, Terry L. & Anandalingam, G. & Mehta, Nihal J. & Nam, Keesung & Shah, Samir J. & Tobin, Roger L., 1993. "The multiobjective equilibrium network design problem revisited: A simulated annealing approach," European Journal of Operational Research, Elsevier, vol. 65(1), pages 44-57, February.
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