The hidden cost of uncertainty for airspace users
Autor: | Andrew J. Cook, Gérald Gurtner |
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Rok vydání: | 2021 |
Předmět: |
050210 logistics & transportation
Mathematical optimization Computer science 020209 energy Strategy and Management 05 social sciences Transportation 02 engineering and technology Management Monitoring Policy and Law Standard deviation Simple (abstract algebra) 0502 economics and business Value (economics) 0202 electrical engineering electronic engineering information engineering Law |
Zdroj: | Journal of Air Transport Management. 91:102002 |
ISSN: | 0969-6997 |
DOI: | 10.1016/j.jairtraman.2020.102002 |
Popis: | This article highlights the importance of uncertainty in day-to-day operations, and the need to take it into account to properly assess the cost of delay for airspace users. It defines a cost of uncertainty and estimates it using real data. It provides some easily computable models based on the average and standard deviation of delay to estimate the cost of delay in general. The article shows that uncertainty is also important in the formulation of buffers for airlines and provides a simple model to estimate the optimal assignment, further using real data to compute the optimal value at different airports. |
Databáze: | OpenAIRE |
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