Airport capacity and demand calculations by simulation—the case of Berlin-Brandenburg International Airport
Airports are vital parts of traffic infrastructure and networks in global and dynamic economies securing inter- and transcontinental mobility of goods and people in spatially dislocated market structures. The operational capacity of an airport must be dimensioned under a long-term strategic view as its productivity is determined by available infrastructure. Often expansion projects for, e.g., an additional runway require a timeframe of up to twenty years for negotiation, planning and construction. The correction of existing or future bottlenecks will be increasingly difficult, partly due to public and political opposition and environmental awareness. From this point of view we critically examine the published planning figures and forecasts of demand and capacity of the currently constructed Berlin-Brandenburg International airport over a 20-year timeframe. Our methodology is based on a computer simulation of an independent parallel runway in segregated mode. Increasing traffic and changing traffic mix are simulated with the airport and airspace modeling tool SIMMOD, which provides the output data to calculate the capacity utilization and chosen level of service indicator minutes of average delay per flight. The simulation has shown that the practical capacity of 76 flights per hour is the maximum demand to be served under the defined assumptions. We discuss our findings and compare our results with other airports operating a similar runway layout. Copyright Springer Science+Business Media, LLC. 2011
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Volume (Year): 12 (2011)
Issue (Month): 3 (October)
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- Bauerle, N. & Engelhardt-Funke, O. & Kolonko, M., 2007. "On the waiting time of arriving aircrafts and the capacity of airports with one or two runways," European Journal of Operational Research, Elsevier, vol. 177(2), pages 1180-1196, March.
- Hansen, Mark, 2002. "Micro-level analysis of airport delay externalities using deterministic queuing models: a case study," Journal of Air Transport Management, Elsevier, vol. 8(2), pages 73-87.
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