Analytical Method for Calculating Sustainable Airport Capacity

被引:15
作者
Di Mascio, Paola [1 ]
Rappoli, Gregorio [1 ]
Moretti, Laura [1 ]
机构
[1] Sapienza Univ Rome, Dept Civil Bldg & Environm Engn, Via Eudossiana 18, I-00186 Rome, Italy
关键词
airport capacity; runway capacity; calculation levels; analytical methods; calculation models; sustainable airport movements;
D O I
10.3390/su12219239
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Capacity is the attitude of an airport to manage a number of operations in a given time interval within a fixed maximum delay (and under given safety conditions). Capacity studies are commonly carried out on five levels of analysis according to the required detail in order to identify the best option that balances economic, logistic and safety issues. This study focuses on level 3 (i.e., analytical methods) developing a calculation model to assess the runway capacity. The model was calibrated by comparing the outputs of different airport configurations with those provided by the circular of the Federal Aviation Administration Airport Capacity and Delay. The model was well calibrated with maximum differences in the analyzed configurations that stood at 1 or 2 movements/hour. The runway capacity of an international airport was calculated and compared to that of the entire airside, assessed through fast time simulation, in a previous study. The analytical model provides runway capacity slightly higher than that of the entire air system, as it cannot evaluate all the critical issues present in the airport that reduce its maximum theoretical capacity. Therefore, depending on the degree of detail required, you can use the developed model or the simulation software; the use of the latter is possible when the airside infrastructure does not adequately support the runway system or in cases of advanced design level.
引用
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页码:1 / 15
页数:15
相关论文
共 27 条
[1]  
ACRP, 2012, 079 ACRP TRANSP RES
[2]  
ACRP, 2014, 104 ACRP TRANSP RES
[3]  
[Anonymous], 1995, URBAN ENV EUROPES EN
[4]  
Ashford Norman J., 2012, Airport Operations
[5]   Airport capacity and demand calculations by simulation-the case of Berlin-Brandenburg International Airport [J].
Bubalo, Branko ;
Daduna, Joachim R. .
NETNOMICS, 2011, 12 (03) :161-181
[6]  
Button Kenneth., 1997, Journal of Transport Geography, V5, P215, DOI [https://doi.org/10.1016/S0966-6923(97)00018-5, DOI 10.1016/S0966-6923(97)00018-5]
[7]  
Cavusoglu S.S, 1947, J AIRPT MANAG, V90
[8]  
Cokorilo O., 2013, 16 INT C TRANSP SCI, P66
[9]   Human factor modelling for fast-time simulations in aviation [J].
Cokorilo, Olja .
AIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGY, 2013, 85 (05) :389-405
[10]  
Di Mascio P., 2020, Journal of Airport Management, V21, P307