Title :
Comparison of efficiency of slot allocation by congestion pricing and ration by schedule
Author :
Neyshabouri, S. ; Kumar, Vipin ; Sherry, Lance ; Hoffman, K.
Author_Institution :
Center for Air Transp. Syst. Res. (CATSR), George Mason Univ., Mason, OH, USA
Abstract :
When airport arrival slots are scheduled in excess of the available capacity, the scheduled flights are assigned slots by a rationing scheme. The traditional approach is to ration slots by schedule (RBS) on a first-scheduled/first-assigned basis. This approach, although meeting equity criteria, can result in inefficient use of the arrival slots in terms of passenger throughput and fuel burn; however, it does not reflect the business decisions with respect to the value of a given flight to an airline. An alternative approach is to allocate the slots based on an airlines´ willingness-to-pay a congestion fee, set a priori by a regulator, for use of the slot. This paper describes a comparison of the allocation of arrival slots using RBS and Congestion Pricing (CP) for flights scheduled into PHL on 10-Jul-2007. The analysis indicates that rationing by CP yielded improved performance in the reduction of average passenger delays by 39.14%, total Passenger Delays by 37.65% and cancelled flights by 66.66% (9 cancellations in RB to 3 cancelled flights in CP). However, rationing by CP decreased average airline equity metric by 34.81%.
Keywords :
airports; pricing; scheduling; travel industry; CP; PHL; RBS; airline equity metric; airline willingness-to-pay; airport arrival slot allocation; average passenger delay reduction; business decision; congestion fee; congestion pricing; flight cancellation; flight scheduling; fuel burn; passenger throughput; ration slot by schedule; rationing scheme; Airports; Atmospheric modeling; Delay; Fuels; Resource management; Schedules;
Conference_Titel :
Integrated Communications, Navigation and Surveillance Conference (ICNS), 2012
Conference_Location :
Herndon, VA
Print_ISBN :
978-1-4673-1901-0
DOI :
10.1109/ICNSurv.2012.6218410