Congestion Pricing and Capacity of Large Hub Airports: A Bottleneck Model with Stochastic Queues
This paper models and estimates congestion prices and capacity for large hub airports with stochastic queues, time-varying traffic rates, and endogenous intertemporal adjustment of traffic in response to queuing delay and fees. Relative costs of queuing and schedule delays are estimated using data from Minneapolis-St. Paul. Simulations calculate equilibrium traffic patterns, queuing delays, schedule delays, congestion fees, airport revenues, airport capacity, and efficiency gains. The paper also investigates whether a dominant airline internalizes delays its aircraft impose. It tests game-theoretic specifications with atomistic, Nash-dominant, Stackelberg-dominant, and collusive-airline traffic. Copyright 1995 by The Econometric Society.
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Volume (Year): 63 (1995)
Issue (Month): 2 (March)
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- Moshe Ben-Akiva & Andre de Palma & Pavlos Kanaroglou, 1984. "Dynamic Model of Peak Period Traffic Congestion with Elastic Arrival Rates," Working Papers 588, Queen's University, Department of Economics.
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