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Congestion and Delays

Congestion and Delays
Author: United States. Congress. Senate. Committee on Commerce, Science, and Transportation. Subcommittee on Aviation Operations, Safety, and Security
Publisher:
Total Pages: 102
Release: 2012
Genre: Aeronautics
ISBN:

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Congestion and Delays

Congestion and Delays
Author: United States. Congress
Publisher: Createspace Independent Publishing Platform
Total Pages: 96
Release: 2017-12-12
Genre:
ISBN: 9781981624676

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Congestion and delays : the impact on passengers and possible solutions : hearing before the Subcommittee on Aviation Operations, Safety, and Security of the Committee on Commerce, Science, and Transportation, United States Senate, One Hundred Tenth Congress, first session, September 27, 2007.


Multi-agent Systems for Traffic and Transportation Engineering

Multi-agent Systems for Traffic and Transportation Engineering
Author:
Publisher: IGI Global
Total Pages: 424
Release: 2009-01-01
Genre: Technology & Engineering
ISBN: 1605662275

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"This book aims at giving a complete panorama of the active and promising crossing area between traffic engineering and multi-agent system addressing both current status and challenging new ideas"--Provided by publisher.


A Decade of Delays

A Decade of Delays
Author: Sunju Lee
Publisher:
Total Pages: 56
Release: 2018
Genre:
ISBN:

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Congestion and Delays

Congestion and Delays
Author: United States. Congress. Senate. Committee on Commerce, Science, and Transportation. Subcommittee on Aviation Operations, Safety, and Security
Publisher:
Total Pages: 92
Release: 2012
Genre: Aeronautics
ISBN:

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Congestion Delays at Hub Airports

Congestion Delays at Hub Airports
Author: Martin J. St. George
Publisher:
Total Pages: 146
Release: 1986
Genre: Airlines
ISBN:

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A deterministic model was developed to study the effects of inefficient scheduling on flight delays at hub airports. The model bases the delay calculation on published schedule data and on user-defined airport capacities. Data from the Official Airline Guide of May, 1977 and May, 1985 was used for the analysis. Twelve large airports were studied in the hopes of finding a correlation between airport delay due to congestion and hubs. Data for both time periods was analyzed for the twelve airports in order to find historical trends in the growth of hubbing. Among the airports studied, those that were hubs had significantly more delays due to inefficient scheduling than the non-hubs, even for an equivalent number of operations. Also, these relative inefficiencies were shown to exist from hub to hub. Delays at hubs of similar size differed by up to 200 percent.


Network Effects, Congestion Externalities, and Air Traffic Delays

Network Effects, Congestion Externalities, and Air Traffic Delays
Author: Christopher J. Mayer
Publisher:
Total Pages: 40
Release: 2002
Genre: Air traffic control
ISBN:

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"We examine two factors that might explain the extent of air traffic delays in the United States: network benefits due to hubbing and congestion externalities. Airline hubs enable passengers to cross-connect to many destinations, thus creating network benefits that increase in the number of markets served from the hub. Delays are the equilibrium outcome of a hub airline equating high marginal benefits from hubbing with the marginal cost of delays. Congestion externalities are created when airlines do not consider that adding flights may lead to increased delays for other air carriers. In this case, delays represent a market failure. Using data on all domestic flights by major US carriers from 1988-2000, we find that delays are increasing in hubbing activity at an airport and decreasing in market concentration but the hubbing effect dominates empirically. In addition, most delays due to hubbing actually accrue to the hub carrier, primarily because the hub carrier clusters its flights in short spans of time in order to maximize passenger interconnections. Non hub flights at hub airports operate with minimal additional travel time by avoiding the congested peak connecting times of the hub carrier. These results suggest that an optimal congestion tax would have a relatively small impact on air traffic delays since hub carriers already internalize most of the costs of hubbing and a tax that did not take the network benefits of hubbing into account could reduce social welfare"--National Bureau of Economic Research web site.