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Author: Konstantinos Zografos Publisher: Wiley ISBN: 9780470974186 Category : Technology & Engineering Languages : en Pages : 314
Book Description
Modelling and Managing Airport Performance provides an integrated view of state-of-the-art research on measuring and improving the performance of airport systems with consideration of both airside and landside operations. The considered facets of performance include capacity, delays, economic costs, noise, emissions and safety. Several of the contributions also examine policies for managing congestion and allocating sparse capacity, as well as for mitigating the externalities of noise, emissions, and safety/risk. Key features: Provides a global perspective with contributing authors from Europe, North and South America with backgrounds in academia, research institutions, government, and industry Contributes to the definition, interpretation, and shared understanding of airport performance measures and related concepts Considers a broad range of measures that quantify operational and environmental performance, as well as safety and risk Discusses concepts and strategies for dealing with the management of airport performance Presents state-of-the-art modelling capabilities and identifies future modelling needs Themed around 3 sections – Modelling Airport Performance, Assessing Airport Impacts, and Managing Airport Performance and Congestion Modelling and Managing Airport Performance is a valuable reference for researchers and practitioners in the global air transportation community.
Author: Konstantinos Zografos Publisher: John Wiley & Sons ISBN: 1118535472 Category : Technology & Engineering Languages : en Pages : 254
Book Description
Modelling and Managing Airport Performance provides an integrated view of state-of-the-art research on measuring and improving the performance of airport systems with consideration of both airside and landside operations. The considered facets of performance include capacity, delays, economic costs, noise, emissions and safety. Several of the contributions also examine policies for managing congestion and allocating sparse capacity, as well as for mitigating the externalities of noise, emissions, and safety/risk. Key features: Provides a global perspective with contributing authors from Europe, North and South America with backgrounds in academia, research institutions, government, and industry Contributes to the definition, interpretation, and shared understanding of airport performance measures and related concepts Considers a broad range of measures that quantify operational and environmental performance, as well as safety and risk Discusses concepts and strategies for dealing with the management of airport performance Presents state-of-the-art modelling capabilities and identifies future modelling needs Themed around 3 sections – Modelling Airport Performance, Assessing Airport Impacts, and Managing Airport Performance and Congestion Modelling and Managing Airport Performance is a valuable reference for researchers and practitioners in the global air transportation community.
Author: National Aeronautics and Space Administration (NASA) Publisher: Createspace Independent Publishing Platform ISBN: 9781722804886 Category : Languages : en Pages : 78
Book Description
The ASAC Airport Capacity Model and the ASAC Airport Delay Model support analyses of technologies addressing airport capacity. NASA's Aviation System Analysis Capability (ASAC) Airport Capacity Model estimates the capacity of an airport as a function of weather, Federal Aviation Administration (FAA) procedures, traffic characteristics, and the level of technology available. Airport capacity is presented as a Pareto frontier of arrivals per hour versus departures per hour. The ASAC Airport Delay Model allows the user to estimate the minutes of arrival delay for an airport, given its (weather dependent) capacity. Historical weather observations and demand patterns are provided by ASAC as inputs to the delay model. The ASAC economic models can translate a reduction in delay minutes into benefit dollars. Lee, David A. and Nelson, Caroline and Shapiro, Gerald Ames Research Center...
Author: Publisher: Transportation Research Board ISBN: 0309283809 Category : Airport capacity Languages : en Pages : 74
Book Description
"TRB's Airport Cooperative Research Program (ACRP) Report 104: Defining and Measuring Aircraft Delay and Airport Capacity Thresholds offers guidance to help airports understand, select, calculate, and report measures of delay and capacity. The report describes common metrics, identifies data sources, recommends metrics based on an airport's needs, and suggests ways to potentially improve metrics."--Publisher's description.
Author: He Sun (S.M.) Publisher: ISBN: Category : Languages : en Pages : 99
Book Description
Demand for air travel has increased over the years and so have airport delays and congestion. Delays have a huge impact on airline costs and influence the satisfaction of passengers, thus becoming an important topic of research in the field of air transportation. In recent literature, a Passenger Delay Calculator (PDC) was proposed to estimate passenger delays. The PDC computes passenger delays for a specified day based on actual flight schedules, fight cancellation information, and ticket booking information. However, since actual fight schedules are a necessary input, the PDC cannot be applied directly to hypothetical scenarios, in which different cancellation strategies are implemented and their impact on passenger delays are evaluated. A different model. Airport Network Delays (AND), has also been developed recently. The AND model estimates fight delays and relies on an input in which demand consists of the national planned fight schedule for any given day. In this thesis, we have attempted to incorporate these two models, the AND and the PDC, within a single framework, so that the resulting new integrated model can compute passenger delays without requiring an actual flight-schedule input. The integrated model would certainly increase the usefulness and applicability of the PDC since it could be used with hypothetical scenarios, different flight cancellation strategies, etc. We first describe the framework of the integrated model for studying flight delays and passenger delays at a daily scale. The integrated model includes four components: a Tail Recovery Model, Flight Cancellation Algorithms, a Refined Airport Network Delay (RAND) model, and the PDC. The Tail Recovery Model recovers missing tail numbers for many flights recorded in the Aviation System Performance Metrics (ASPM) database. The Flight Cancellation Algorithms implement alternative strategies for flight cancellations in the presence of large delays, such as cancelling flights with long flight delays or flights with a large ratio of flight delay divided by the seating capacity of the aircraft. The RAND model is an extension of the AND, in which two implicit assumptions of the AND model have been modified. The RAND model produces better estimates of flight delays in the sense of replicating actual flight delays obtained from the ASPM database. The overall integrated model is able to compute passenger delays and relies only on planned flight schedules rather than actual flight schedules. Moreover, the integrated model facilitates the study of factors that influence flight delays, such as weather conditions and demand fluctuations, and evaluates the impact of different cancellation strategies on passenger delays. Using actual data from different days, we conclude that passenger delays can be reduced on the busiest traffic days through improved flight cancellation strategies. In the second part of the thesis, we extend the RAND model to compute flight delays on a monthly scale using different capacity profiles as input. These capacity profiles can be directly obtained from Federal Aviation Administration (FAA) reports or constructed by using classical machine learning algorithms on airport-level data. We validate our estimation of flight delays by using data of January, 2008, showing that both the capacity profiles and the RAND perform well in terms of replicating the actual monthly flight delays. These results imply that an effort can be made to develop an integrated model incorporating the RAND, the PDC etc. at a monthly scale or even at any generic time scale.
Author: Konstantinos Zografos
Author: Lijun Zhan
Author: F. Poldy
Author: Konstantinos Zografos
Author: National Aeronautics and Space Administration (NASA)
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Author: 
Author: United States. Federal Aviation Administration
Author: United States. Federal Aviation Administration
Author: He Sun (S.M.)
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