To Allocate Slots or Not (original) (raw)

Determinants of delays at European airports

Transportation Research Part B-methodological, 2010

Using flight data for the period 2000–2004 we find that four significant variables in explaining delays at European airports are market concentration, slot coordination, hub airports and hub airlines. We find evidence for the hypothesis that airlines internalize the effects of self-imposed congestion, but the results for the hub variables are somewhat puzzling. While delays are higher at hub airports, hub airlines experience lower delays than non-hub airlines. This may be at least partly explained by the special characteristics of the hub-and-spoke system in Europe, which is less extensive and more constrained, relative to the US. If introduced in Europe, efficient airport congestion tolls should be carrier-specific to account for the differences in internalization of delays.

Determinants of Delays at European Airports Georgina Santos and Maël

2014

Using flight data for the period 2000-2004 we find that four significant variables in explaining delays at European airports are market concentration, slot coordination, hub airports and hub airlines. We find evidence for the hypothesis that airlines internalize the effects of self-imposed congestion, but the results for the hub variables are somewhat puzzling. While delays are higher at hub airports, hub airlines experience lower delays than non-hub airlines. This may be at least partly explained by the special characteristics of the hub-and-spoke system in Europe, which is less extensive and more constrained, relative to the U.S. If introduced in Europe, efficient airport congestion tolls should be carrier-specific to account for the differences in internalization of delays.

Distributional Consequences of Airport Congestion Pricing

Journal of Urban Economics, 2001

Imposition of airport congestion pricing redistributes welfare among commercial, regional, and general aviation. This article extends Daniel's [Econometrica63, 327–370 (1995)] stochastic-bottleneck model with dynamically adjusting traffic rates, queuing delays, and congestion fees to include elastic demand, heterogeneous operating time preferences, and heterogeneous layover and queuing time values. Using parameters from Minneapolis-St. Paul airport, simulations of congestion pricing determine its effects on equilibrium traffic patterns, queuing delays, schedule delays, airport revenues, and social welfare. Gains by commercial aviation, common travelers, and airport authorities exceed losses by general and regional aviation. The article evaluates several price-and-rebate programs and proposes several that are self-financing and Pareto improving.