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A cost-benefit analysis of tunnel investment and tolling alternatives in Antwerp

Author

Listed:
  • André De Palma

  • Robin Lindsey

  • Stef Proost

  • Saskia Van der Loo

Abstract

This paper presents and illustrates a comprehensive and operational model for assessing transport pricing and investment policies and regulatory regimes. The approach encompasses intra-modal as well as inter-modal competition, and could be used either by private operators or by the legislator for the purpose of evaluating market conduct. The model combines elements of contract theory, public economics, political economy, transportation economics and game theory. It incorporates a CES-based discrete-choice framework in which user charges and infrastructure investments are endogenously determined for two competing alternatives (air, rail or two parallel roads) that may be used for transportation of passengers and/or freight. The model includes separate modules for demand, supply, equilibrium and the regulatory framework. The demand module for passenger transport features a CES decision tree with three levels: choice between transport and consumption of a composite commodity, choice between peak and off-peak periods, and choice between the two transport alternatives. Elasticities of substitution at each level are parametrically given. Passengers can be segmented into classes that differ with respect to their travel preferences, incomes and costs of travel time. The demand module for freight transport also features three levels. The first level encompasses choice between transport and other production inputs, and the second and third levels are the same as for passenger transport. Freight transport can be segmented into local and transit traffic. The supply module specifies for each transport alternative travel time as a function of traffic volume and a rule for infrastructure maintenance. Operating, maintenance and investment costs are allowed to depend on the contractual form. Given the demand and supply functions, the equilibrium module computes a fixed-point solution in terms of prices and levels of congestion. Finally, the exogenous regulatory framework stipulates for each alternative the objective functions of the operators and infrastructure managers (public or private objectives), the nature of competition, procurement policies, the cost of capital, and the source and use of transport tax revenues. Possible market structures include: no tolls (free access), exogenous tolls, marginal social cost pricing, private duopoly and mixed oligopoly. Public decisions can be made either by local or central governments that may attach different welfare-distributional weights to agents (e.g. low-income vs. high-income passengers, or local vs. transit freight traffic) as well as different weights to air pollution and other (non-congestion) external transport costs. Primary outputs from the model are equilibrium prices, transport volumes, travel times, cost efficiency of operations, toll revenues and financial balances, travellersÂ’ surplus and social welfare. In the final section of the paper the methodology is illustrated with an example of competition in the market for long-distance passenger travel between high-speed rail and air. A simple procedure allows the calibration of the parameters when aggregate data are available. The model is used to evaluate policies (pricing, investment, taxes, inter alia).

Suggested Citation

  • André De Palma & Robin Lindsey & Stef Proost & Saskia Van der Loo, 2005. "A cost-benefit analysis of tunnel investment and tolling alternatives in Antwerp," ERSA conference papers ersa05p732, European Regional Science Association.
  • Handle: RePEc:wiw:wiwrsa:ersa05p732
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    File URL: https://www-sre.wu.ac.at/ersa/ersaconfs/ersa05/papers/732.pdf
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    References listed on IDEAS

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    1. Bruno De Borger & Stef Proost (ed.), 2001. "Reforming Transport Pricing in the European Union," Books, Edward Elgar Publishing, number 1822.
    2. Arnott, Richard & Kraus, Marvin, 1998. "When are anonymous congestion charges consistent with marginal cost pricing?," Journal of Public Economics, Elsevier, vol. 67(1), pages 45-64, January.
    3. Henrik Jacobsen Kleven & Claus Thustrup Kreiner & Claus Thustrup Kreiner, 2003. "The Marginal Cost of Public Funds in OECD Countries. Hours of Work Versus Labor Force Participation," CESifo Working Paper Series 935, CESifo.
    4. Kenneth Button & Erik Verhoef (ed.), 1998. "Road Pricing, Traffic Congestion and the Environment," Books, Edward Elgar Publishing, number 940.
    5. Flyvbjerg,Bent & Bruzelius,Nils & Rothengatter,Werner, 2003. "Megaprojects and Risk," Cambridge Books, Cambridge University Press, number 9780521009461, January.
    6. repec:cdl:uctcwp:qt8kk909p1 is not listed on IDEAS
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    1. de Palma, André & Lindsey, Robin & Proost, Stef & Van der Loo, Saskia, 2007. "Chapter 5 Comparing alternative pricing and revenue use strategies with the MOLINO model," Research in Transportation Economics, Elsevier, vol. 19(1), pages 111-131, January.
    2. de Palma, Andre & Marcucci, Edoardo & Niskanen, Esko & Wieland, Bernhard, 2005. "Introduction," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 31, pages 1-5.
    3. Cantos-Sánchez, Pedro & Moner-Colonques, Rafael & Sempere-Monerris, José J. & Álvarez-SanJaime, Óscar, 2011. "Viability of new road infrastructure with heterogeneous users," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(5), pages 435-450, June.
    4. Massiani, Jérôme & Maltese, Ila, 2022. "Thirty years of socio-economic evaluation of the Lyon–Turin High–Speed rail project," Research in Transportation Economics, Elsevier, vol. 94(C).
    5. Pedro Cantos-Sanchez & Rafael Moner-Colonques & Jose J. Sempere-Monerris & Oscar Alvarez, 2008. "Viability of a New Road Infrastructure with Heterogeneous Users in Madrid Access," Working Papers 2008-06, FEDEA.
    6. Bushansky, S., 2021. "Inefficiency of road concessions in Russia: exception or rule?," Journal of the New Economic Association, New Economic Association, vol. 50(2), pages 97-118.

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    More about this item

    JEL classification:

    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy

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