IDEAS home Printed from https://ideas.repec.org/a/eee/jaitra/v115y2024ics0969699724000152.html
   My bibliography  Save this article

Machine learning and multi-objective optimization methodology for planning construction phases of airport expansion projects

Author

Listed:
  • Al-Ghzawi, Mamdouh
  • El-Rayes, Khaled

Abstract

This study presents the development of an innovative methodology to optimize phasing plans of airport expansion projects to minimize construction-related disruptions in airport operations and project construction cost. This methodology integrates a machine learning model to predict the impact of generated phasing plans on flights ground movement time during construction, and a multi-objective genetic algorithms optimization model to identify optimal construction phasing plans for airport expansion projects. An airport expansion case study is analyzed to demonstrate the capabilities of the developed models. The results of this analysis confirm the original contributions of the novel methodology in predicting the impact of alternative construction phasing plans on flights ground movement time without the need for repetitive and time-consuming simulations, quantifying and optimizing the impact of alternative construction phasing plans on airport operations disruption cost and project construction cost, and generating detailed optimum phasing plans for airport expansion projects. These novel capabilities are expected to enable planners improving cost-effectiveness of airports during expansion projects while minimizing construction cost.

Suggested Citation

  • Al-Ghzawi, Mamdouh & El-Rayes, Khaled, 2024. "Machine learning and multi-objective optimization methodology for planning construction phases of airport expansion projects," Journal of Air Transport Management, Elsevier, vol. 115(C).
    • Handle: RePEc:eee:jaitra:v:115:y:2024:i:c:s0969699724000152
    DOI: 10.1016/j.jairtraman.2024.102550
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0969699724000152
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jairtraman.2024.102550?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Truong, Dothang, 2021. "Using causal machine learning for predicting the risk of flight delays in air transportation," Journal of Air Transport Management, Elsevier, vol. 91(C).
    2. Castelli, Lorenzo & Pellegrini, Paola, 2011. "An AHP analysis of air traffic management with target windows," Journal of Air Transport Management, Elsevier, vol. 17(2), pages 68-73.
    3. Hildemann, Moritz & Verstegen, Judith A., 2023. "3D-flight route optimization for air-taxis in urban areas with Evolutionary Algorithms and GIS," Journal of Air Transport Management, Elsevier, vol. 107(C).
    4. Daly, Andrew & Dekker, Thijs & Hess, Stephane, 2016. "Dummy coding vs effects coding for categorical variables: Clarifications and extensions," Journal of choice modelling, Elsevier, vol. 21(C), pages 36-41.
    5. Humbertson, Robert & Sinha, Agam, 2012. "Managing irregular airport operations," Journal of Airport Management, Henry Stewart Publications, vol. 6(4), pages 318-328, October.
    6. Wang, Zhengyi & Liang, Man & Delahaye, Daniel, 2020. "Automated data-driven prediction on aircraft Estimated Time of Arrival," Journal of Air Transport Management, Elsevier, vol. 88(C).
    Full references (including those not matched with items on IDEAS)

    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. Lehmann, Nico & Sloot, Daniel & Schüle, Christopher & Ardone, Armin & Fichtner, Wolf, 2023. "The motivational drivers behind consumer preferences for regional electricity – Results of a choice experiment in Southern Germany," Energy Economics, Elsevier, vol. 120(C).
    2. Jasper Grashuis & Theodoros Skevas & Michelle S. Segovia, 2020. "Grocery Shopping Preferences during the COVID-19 Pandemic," Sustainability, MDPI, vol. 12(13), pages 1-10, July.
    3. Carole Ropars-Collet & Philippe Goffe & Qods Lefnatsa, 2021. "Does catch-and-release increase the recreational value of rivers? The case of salmon fishing," Review of Agricultural, Food and Environmental Studies, Springer, vol. 102(4), pages 393-424, December.
    4. Rocha, Phelipe Medeiros da & Barros, Alexandre Pinheiro de & Silva, Glauco Barbosa da & Costa, Helder Gomes, 2016. "Analysis of the operational performance of brazilian airport terminals: A multicriteria approach with De Borda-AHP integration," Journal of Air Transport Management, Elsevier, vol. 51(C), pages 19-26.
    5. Jaung, Wanggi, 2022. "Digital forest recreation in the metaverse: Opportunities and challenges," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    6. Hammerle, Mara & White, Lee V. & Sturmberg, Bjorn, 2023. "Solar for renters: Investigating investor perspectives of barriers and policies," Energy Policy, Elsevier, vol. 174(C).
    7. Hansen, Line Block & Termansen, Mette & Hasler, Berit, 2017. "Effectiveness Of Markets In Nitrogen Abatement: A Danish Case Study," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 260887, European Association of Agricultural Economists.
    8. Buckell, John & White, Justin S. & Shang, Ce, 2020. "Can incentive-compatibility reduce hypothetical bias in smokers’ experimental choice behavior? A randomized discrete choice experiment," Journal of choice modelling, Elsevier, vol. 37(C).
    9. Krah, Kwabena & Michelson, Hope & Perge, Emilie & Jindal, Rohit, 2019. "Constraints to adopting soil fertility management practices in Malawi: A choice experiment approach," World Development, Elsevier, vol. 124(C), pages 1-1.
    10. Wang, Chunzheng & Hu, Minghua & Yang, Lei & Zhao, Zheng, 2022. "Improving the spatial-temporal generalization of flight block time prediction: A development of stacking models," Journal of Air Transport Management, Elsevier, vol. 103(C).
    11. Anne Parlina & Kalamullah Ramli & Hendri Murfi, 2021. "Exposing Emerging Trends in Smart Sustainable City Research Using Deep Autoencoders-Based Fuzzy C-Means," Sustainability, MDPI, vol. 13(5), pages 1-28, March.
    12. Cordula Hinkes & Inken Christoph-Schulz, 2020. "No Palm Oil or Certified Sustainable Palm Oil? Heterogeneous Consumer Preferences and the Role of Information," Sustainability, MDPI, vol. 12(18), pages 1-26, September.
    13. Varela, Elsa & Kallas, Zein, 2022. "Extensive Mediterranean agroecosystems and their linked traditional breeds: Societal demand for the conservation of the Majorcan black pig," Land Use Policy, Elsevier, vol. 112(C).
    14. Schmid, Basil & Molloy, Joseph & Peer, Stefanie & Jokubauskaite, Simona & Aschauer, Florian & Hössinger, Reinhard & Gerike, Regine & Jara-Diaz, Sergio R. & Axhausen, Kay W., 2021. "The value of travel time savings and the value of leisure in Zurich: Estimation, decomposition and policy implications," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 186-215.
    15. Sidiropoulos, Stavros & Majumdar, Arnab & Han, Ke, 2018. "A framework for the optimization of terminal airspace operations in Multi-Airport Systems," Transportation Research Part B: Methodological, Elsevier, vol. 110(C), pages 160-187.
    16. Peyron, Christine & Pélissier, Aurore & Béjean, Sophie, 2018. "Preference heterogeneity with respect to whole genome sequencing. A discrete choice experiment among parents of children with rare genetic diseases," Social Science & Medicine, Elsevier, vol. 214(C), pages 125-132.
    17. Carole Ropars-Collet & Philippe Le Goffe, 2020. "Economic evaluation of catch-and-release salmon fishing: impact on anglers’ willingness to pay," Working Papers hal-02441505, HAL.
    18. Grammatikopoulou, Ioanna & Badura, Tomas & Vačkářová, Davina, 2020. "Public preferences for post 2020 agri-environmental policy in the Czech Republic: A choice experiment approach," Land Use Policy, Elsevier, vol. 99(C).
    19. Schmid, Basil & Jokubauskaite, Simona & Aschauer, Florian & Peer, Stefanie & Hössinger, Reinhard & Gerike, Regine & Jara-Diaz, Sergio R. & Axhausen, Kay W., 2019. "A pooled RP/SP mode, route and destination choice model to investigate mode and user-type effects in the value of travel time savings," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 262-294.
    20. Li, Chi & Mao, Jianfeng & Li, Lingyi & Wu, Jingxuan & Zhang, Lianmin & Zhu, Jianyu & Pan, Zibin, 2024. "Flight delay propagation modeling: Data, Methods, and Future opportunities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 185(C).

    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:eee:jaitra:v:115:y:2024:i:c:s0969699724000152. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/journal-of-air-transport-management/ .

    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.