TY - GEN
T1 - Evaluation of airport capacity optimization measures
AU - Schinwald, Christoph
AU - Plötner, Kay O.
AU - Hornung, Mirko
N1 - Publisher Copyright:
© 2017, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.
PY - 2017
Y1 - 2017
N2 - The global air transport system has seen significant growth rates over recent decades. The growing wealth of many countries goes along with a substantial increase in travel needs. Global market forecasts foresee the total number of airline passengers to double within the next 20 years. Accommodating this air traffic growth is highly challenging for many airports around the world, as by now they are already facing substantial capacity constraints. Necessary airport infrastructure expansion projects cannot be realized in many cases. Therefore, a more efficient utilization of the existing infrastructure is regarded as one of the key enablers for future air traffic growth. Within this study five different airport capacity optimization measures will be analyzed by using a comparative evaluation model. The investigations of 22 international hub airports revealed that these measures can significantly contribute to an alleviation of the future congestion situation. In the best case scenario, average capacity utilization can be reduced by 48% for the year 2031, compared to the baseline scenario. However, even in this case, a relevant share of the air traffic growth cannot be accommodated. In that case, the feasibility of new airport construction projects would be highly valuable if integrated into such an analysis even though a very high uncertainty is associated with it.
AB - The global air transport system has seen significant growth rates over recent decades. The growing wealth of many countries goes along with a substantial increase in travel needs. Global market forecasts foresee the total number of airline passengers to double within the next 20 years. Accommodating this air traffic growth is highly challenging for many airports around the world, as by now they are already facing substantial capacity constraints. Necessary airport infrastructure expansion projects cannot be realized in many cases. Therefore, a more efficient utilization of the existing infrastructure is regarded as one of the key enablers for future air traffic growth. Within this study five different airport capacity optimization measures will be analyzed by using a comparative evaluation model. The investigations of 22 international hub airports revealed that these measures can significantly contribute to an alleviation of the future congestion situation. In the best case scenario, average capacity utilization can be reduced by 48% for the year 2031, compared to the baseline scenario. However, even in this case, a relevant share of the air traffic growth cannot be accommodated. In that case, the feasibility of new airport construction projects would be highly valuable if integrated into such an analysis even though a very high uncertainty is associated with it.
UR - http://www.scopus.com/inward/record.url?scp=85086950053&partnerID=8YFLogxK
U2 - 10.2514/6.2017-0803
DO - 10.2514/6.2017-0803
M3 - Conference contribution
AN - SCOPUS:85086950053
SN - 9781624104510
T3 - AIAA Modeling and Simulation Technologies Conference, 2017
BT - AIAA Modeling and Simulation Technologies Conference, 2017
PB - American Institute of Aeronautics and Astronautics Inc, AIAA
T2 - AIAA Modeling and Simulation Technologies Conference, 2017
Y2 - 9 January 2017 through 13 January 2017
ER -