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Slot-Based Approaches to Airport Congestion Management

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  • Jan K. Brueckner

Abstract

This paper analyzes slot-based approaches to management of airport congestion, using a model where airlines are asymmetric and internalize airport congestion. Under these circumstances, optimal congestion tolls differ across carriers, and since a slot-sale regime (with its uniform slot price) cannot duplicate this pattern, the equilibrium it generates is inefficient. Flight volumes tend to be too low for large carriers and too high for small carriers. Under a slot-trading regime or a slot auction, however, the existence of a fixed number of slots causes carriers to treat total flight volume (and thus congestion) as fixed, and this difference can lead to an efficient outcome.

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File URL: http://www.cesifo-group.de/portal/page/portal/DocBase_Content/WP/WP-CESifo_Working_Papers/wp-cesifo-2008/wp-cesifo-2008-05/cesifo1_wp2302.pdf
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Bibliographic Info

Paper provided by CESifo Group Munich in its series CESifo Working Paper Series with number 2302.

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Date of creation: 2008
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Handle: RePEc:ces:ceswps:_2302

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  1. Braid, Ralph M., 1996. "Peak-Load Pricing of a Transportation Route with an Unpriced Substitute," Journal of Urban Economics, Elsevier, vol. 40(2), pages 179-197, September.
  2. Verhoef, Erik T., 2010. "Congestion pricing, slot sales and slot trading in aviation," Transportation Research Part B: Methodological, Elsevier, vol. 44(3), pages 320-329, March.
  3. Eric Pels & Erik Verhoef, 2003. "The Economics of Airport Congestion Pricing," Tinbergen Institute Discussion Papers 03-083/3, Tinbergen Institute.
  4. Lawrence M. Ausubel & Peter Cramton, 1995. "Demand Reduction and Inefficiency in Multi-Unit Auctions," Papers of Peter Cramton 98wpdr, University of Maryland, Department of Economics - Peter Cramton, revised 22 Jul 2002.
  5. W. Tom Whalen & Dennis W. Carlton & Ken Heyer & Oliver Richard, 2007. "Proposal For A Market-Based Solution to Airport Delays," EAG Competition Advocacy Papers 200714, Department of Justice, Antitrust Division.
  6. Christopher Mayer & Todd Sinai, 2002. "Network Effects, Congestion Externalities, and Air Traffic Delays: Or Why All Delays Are Not Evil," NBER Working Papers 8701, National Bureau of Economic Research, Inc.
  7. Oum, Tae Hoon & Zhang, Yimin, 1990. "Airport pricing : Congestion tolls, lumpy investment, and cost recovery," Journal of Public Economics, Elsevier, vol. 43(3), pages 353-374, December.
  8. Daniel, Joseph I, 1995. "Congestion Pricing and Capacity of Large Hub Airports: A Bottleneck Model with Stochastic Queues," Econometrica, Econometric Society, vol. 63(2), pages 327-70, March.
  9. Zhang, Anming & Zhang, Yimin, 2006. "Airport capacity and congestion when carriers have market power," Journal of Urban Economics, Elsevier, vol. 60(2), pages 229-247, September.
  10. Brueckner, Jan K., 2005. "Internalization of airport congestion: A network analysis," International Journal of Industrial Organization, Elsevier, vol. 23(7-8), pages 599-614, September.
  11. Roberto Burguet, 2000. "Auction theory: a guided tour," Investigaciones Economicas, Fundación SEPI, vol. 24(1), pages 3-50, January.
  12. Jan K. Brueckner, 2002. "Airport Congestion When Carriers Have Market Power," American Economic Review, American Economic Association, vol. 92(5), pages 1357-1375, December.
  13. Daniel, Joseph I. & Harback, Katherine Thomas, 2008. "(When) Do hub airlines internalize their self-imposed congestion delays?," Journal of Urban Economics, Elsevier, vol. 63(2), pages 583-612, March.
  14. Basso, Leonardo J. & Zhang, Anming, 2007. "Congestible facility rivalry in vertical structures," Journal of Urban Economics, Elsevier, vol. 61(2), pages 218-237, March.
  15. Rupp, Nicholas G., 2009. "Do carriers internalize congestion costs? Empirical evidence on the internalization question," Journal of Urban Economics, Elsevier, vol. 65(1), pages 24-37, January.
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