IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i21p9239-d441050.html
   My bibliography  Save this article

Analytical Method for Calculating Sustainable Airport Capacity

Author

Listed:
  • Paola Di Mascio

    (Department of Civil, Building and Environmental Engineering, Sapienza—University of Rome, Via Eudossiana 18, 00186 Rome, Italy)

  • Gregorio Rappoli

    (Department of Civil, Building and Environmental Engineering, Sapienza—University of Rome, Via Eudossiana 18, 00186 Rome, Italy)

  • Laura Moretti

    (Department of Civil, Building and Environmental Engineering, Sapienza—University of Rome, Via Eudossiana 18, 00186 Rome, Italy)

Abstract

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.

Suggested Citation

  • Paola Di Mascio & Gregorio Rappoli & Laura Moretti, 2020. "Analytical Method for Calculating Sustainable Airport Capacity," Sustainability, MDPI, vol. 12(21), pages 1-15, November.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:21:p:9239-:d:441050
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/21/9239/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/12/21/9239/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tascón, Diana C. & Díaz Olariaga, Oscar, 2021. "Air traffic forecast and its impact on runway capacity. A System Dynamics approach," Journal of Air Transport Management, Elsevier, vol. 90(C).
    2. Cavusoglu, Sabriye Sera & Macário, Rosário, 2021. "Minimum delay or maximum efficiency? Rising productivity of available capacity at airports: Review of current practice and future needs," Journal of Air Transport Management, Elsevier, vol. 90(C).
    3. Branko Bubalo & Joachim Daduna, 2011. "Airport capacity and demand calculations by simulation—the case of Berlin-Brandenburg International Airport," Netnomics, Springer, vol. 12(3), pages 161-181, October.
    4. Matteo Ignaccolo, 2003. "A Simulation model for airport capacity and delay analysis," Transportation Planning and Technology, Taylor & Francis Journals, vol. 26(2), pages 135-170, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Paola Di Mascio & Riccardo Carrara & Luca Frasacco & Eleonora Luciano & Andrea Ponziani & Laura Moretti, 2021. "How the Tower Air Traffic Controller Workload Influences the Capacity in a Complex Three-Runway Airport," IJERPH, MDPI, vol. 18(6), pages 1-14, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ayman Al-Quraan & Bashar Al-Mhairat, 2022. "Intelligent Optimized Wind Turbine Cost Analysis for Different Wind Sites in Jordan," Sustainability, MDPI, vol. 14(5), pages 1-24, March.
    2. Mahpour, Alireza & Asadi, Majid & Baghestani, Amirhossein, 2024. "Are supply and demand the main key drivers of airport parking prices? The quantitative study," Journal of Air Transport Management, Elsevier, vol. 114(C).
    3. de Lange, Robert & Samoilovich, Ilya & van der Rhee, Bo, 2013. "Virtual queuing at airport security lanes," European Journal of Operational Research, Elsevier, vol. 225(1), pages 153-165.
    4. Bing Zhao & Hao Wu, 2022. "A System Dynamics Model of Multi-Airport Logistics System under the Impact of COVID-19: A Case of Jing-Jin-Ji Multi-Airport System in China," Sustainability, MDPI, vol. 14(19), pages 1-19, October.
    5. Paola Di Mascio & Laura Moretti & Massimiliano Piacitelli, 2020. "Airport Landside Sustainable Capacity and Level of Service of Terminal Functional Subsystems," Sustainability, MDPI, vol. 12(21), pages 1-19, October.
    6. Peyman Babashamsi & Shabir Hussain Khahro & Hend Ali Omar & Abdulnaser M. Al-Sabaeei & Abdul Muhaimin Memon & Abdalrhman Milad & Muhammad Imran Khan & Muslich Hartadi Sutanto & Nur Izzi Md Yusoff, 2022. "Perspective of Life-Cycle Cost Analysis and Risk Assessment for Airport Pavement in Delaying Preventive Maintenance," Sustainability, MDPI, vol. 14(5), pages 1-14, March.
    7. Roberto Rendeiro Martín-Cejas, 2022. "The Influence of the Resident Subsidy on Regional Carrier Economies and the Environment in the Canary Interisland Air Traffic Network," Tourism and Hospitality, MDPI, vol. 3(3), pages 1-15, June.
    8. Weiwei Lin & Jing Lu & Jinfu Zhu & Li Xu, 2022. "Research on the Sustainable Development and Dynamic Capabilities of China’s Aircraft Leasing Industry Based on System Dynamics Theory," Sustainability, MDPI, vol. 14(3), pages 1-19, February.
    9. Yao, Jia & Chen, Yanqin & Chen, Anthony & Liu, Zhiyuan, 2024. "Modeling link capacity constraints with physical queuing and toll in the bi-modal mixed road network including bus and car modes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 184(C).
    10. Hu, Rong & Feng, Huilin & Witlox, Frank & Zhang, Junfeng & Connor, Kevin O., 2022. "Airport capacity constraints and air traffic demand in China," Journal of Air Transport Management, Elsevier, vol. 103(C).
    11. Bezerra, George C.L. & Gomes, Carlos F., 2018. "Performance measurement practices in airports: Multidimensionality and utilization patterns," Journal of Air Transport Management, Elsevier, vol. 70(C), pages 113-125.
    12. Berster, Peter & Gelhausen, Marc C. & Wilken, Dieter, 2015. "Is increasing aircraft size common practice of airlines at congested airports?," Journal of Air Transport Management, Elsevier, vol. 46(C), pages 40-48.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:12:y:2020:i:21:p:9239-:d:441050. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.