IDEAS home Printed from https://ideas.repec.org/a/eee/jaitra/v109y2023ics0969699723000352.html
   My bibliography  Save this article

Airport operations with electric-powered towing alternatives under stochastic conditions

Author

Listed:
  • Ahmadi, Sobhan
  • Akgunduz, Ali

Abstract

Air transportation has become a common travelling medium for ordinary public in most regions around the world since the deregulation of civil aviation in the US in 1978. While the global economy and the ordinary people have benefited from the growing air-transportation, the negative impacts of such change have not gone unnoticed. Today, civil aviation is a significant contributor to several environmental issues such as conflict with wildlife, noise pollution, and Greenhouse Gas Emissions (GGE). The civil aviation industry is responsible for 2–3% of all greenhouse gas emissions in the world. Moreover, the emissions at airports have an even more significant impact on the local population and the surrounding environment. It is estimated that a typical airplane consumes between 4% and 7% of its fuel for ground operations. The GGE released by airports is not only contributing to global warming, but also impacting the health of local communities living next to airports. Accordingly, this paper discusses operational and technological improvements at airports with the objective of minimizing the negative impact of airports on the environment. First, electrification of taxiing operations is discussed. Next, a Mixed Integer Linear Programming (MILP) model which aims at assigning electric powered tow-tractors for airplanes to complete taxiing operations with minimum jet-fuel usage is introduced. The impact of stochastic conditions on the taxiing operations has been discussed and the impact of traffic density has been incorporated in the model. Finally, an optimum number of tow-tractor purchase strategy is recommended for airports.

Suggested Citation

  • Ahmadi, Sobhan & Akgunduz, Ali, 2023. "Airport operations with electric-powered towing alternatives under stochastic conditions," Journal of Air Transport Management, Elsevier, vol. 109(C).
  • Handle: RePEc:eee:jaitra:v:109:y:2023:i:c:s0969699723000352
    DOI: 10.1016/j.jairtraman.2023.102392
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0969699723000352
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jairtraman.2023.102392?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. Daş, Gülesin Sena & Gzara, Fatma & Stützle, Thomas, 2020. "A review on airport gate assignment problems: Single versus multi objective approaches," Omega, Elsevier, vol. 92(C).
    2. Dorndorf, Ulrich & Drexl, Andreas & Nikulin, Yury & Pesch, Erwin, 2007. "Flight gate scheduling: State-of-the-art and recent developments," Omega, Elsevier, vol. 35(3), pages 326-334, June.
    3. Jian Li & Yang Li & Panos M. Pardalos, 2016. "Multi-depot vehicle routing problem with time windows under shared depot resources," Journal of Combinatorial Optimization, Springer, vol. 31(2), pages 515-532, February.
    4. Everett B. Peterson & Kevin Neels & Nathan Barczi & Thea Graham, 2013. "The Economic Cost of Airline Flight Delay," Journal of Transport Economics and Policy, University of Bath, vol. 47(1), pages 107-121, January.
    5. Bierwirth, C. & Kuhpfahl, J., 2017. "Extended GRASP for the job shop scheduling problem with total weighted tardiness objective," European Journal of Operational Research, Elsevier, vol. 261(3), pages 835-848.
    6. Jean-Claude Picard & Maurice Queyranne, 1978. "The Time-Dependent Traveling Salesman Problem and Its Application to the Tardiness Problem in One-Machine Scheduling," Operations Research, INFORMS, vol. 26(1), pages 86-110, February.
    7. Gurtner, G. & Bongiorno, C. & Ducci, M. & Miccichè, S., 2017. "An empirically grounded agent based simulator for the air traffic management in the SESAR scenario," Journal of Air Transport Management, Elsevier, vol. 59(C), pages 26-43.
    8. Upham, Paul & Thomas, Callum & Gillingwater, David & Raper, David, 2003. "Environmental capacity and airport operations: current issues and future prospects," Journal of Air Transport Management, Elsevier, vol. 9(3), pages 145-151.
    9. Dimitris Bertsimas & Sarah Stock Patterson, 1998. "The Air Traffic Flow Management Problem with Enroute Capacities," Operations Research, INFORMS, vol. 46(3), pages 406-422, June.
    10. Zou, Bo & Elke, Matthew & Hansen, Mark & Kafle, Nabin, 2014. "Evaluating air carrier fuel efficiency in the US airline industry," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 306-330.
    11. Marcella Samà & Andrea D’Ariano & Konstantin Palagachev & Matthias Gerdts, 2019. "Integration methods for aircraft scheduling and trajectory optimization at a busy terminal manoeuvring area," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 41(3), pages 641-681, September.
    12. Thowayeb H. Hassan & Abu Elnasr E. Sobaih & Amany E. Salem, 2021. "Factors Affecting the Rate of Fuel Consumption in Aircrafts," Sustainability, MDPI, vol. 13(14), pages 1-16, July.
    13. Monnerat, Filipe & Dias, Joana & Alves, Maria João, 2019. "Fleet management: A vehicle and driver assignment model," European Journal of Operational Research, Elsevier, vol. 278(1), pages 64-75.
    14. Dimitris Bertsimas & Guglielmo Lulli & Amedeo Odoni, 2011. "An Integer Optimization Approach to Large-Scale Air Traffic Flow Management," Operations Research, INFORMS, vol. 59(1), pages 211-227, February.
    15. Yu, Chuhang & Zhang, Dong & Henry Lau, H.Y.K., 2017. "A heuristic approach for solving an integrated gate reassignment and taxi scheduling problem," Journal of Air Transport Management, Elsevier, vol. 62(C), pages 189-196.
    16. Paola Di Mascio & Maria Vittoria Corazza & Nicolò Rocco Rosa & Laura Moretti, 2022. "Optimization of Aircraft Taxiing Strategies to Reduce the Impacts of Landing and Take-Off Cycle at Airports," Sustainability, MDPI, vol. 14(15), pages 1-15, August.
    17. Lu, Cherie, 2011. "The economic benefits and environmental costs of airport operations: Taiwan Taoyuan International Airport," Journal of Air Transport Management, Elsevier, vol. 17(6), pages 360-363.
    18. Li, Xinyu & Gao, Liang, 2016. "An effective hybrid genetic algorithm and tabu search for flexible job shop scheduling problem," International Journal of Production Economics, Elsevier, vol. 174(C), pages 93-110.
    19. Park, Dong Kie & Kim, Jin Ki, 2023. "Influential factors to aircraft taxi time in airport," Journal of Air Transport Management, Elsevier, vol. 106(C).
    20. Grote, Matt & Pilko, Aliaksei & Scanlan, James & Cherrett, Tom & Dickinson, Janet & Smith, Angela & Oakey, Andrew & Marsden, Greg, 2022. "Sharing airspace with Uncrewed Aerial Vehicles (UAVs): Views of the General Aviation (GA) community," Journal of Air Transport Management, Elsevier, vol. 102(C).
    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. Chen, Shuiwang & Wu, Lingxiao & Ng, Kam K.H. & Liu, Wei & Wang, Kun, 2024. "How airports enhance the environmental sustainability of operations: A critical review from the perspective of Operations Research," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 183(C).
    2. Zoutendijk, M. & Mitici, M., 2024. "Fleet scheduling for electric towing of aircraft under limited airport energy capacity," Energy, Elsevier, vol. 294(C).
    3. Liu, Wenjing & Delahaye, Daniel & Cetek, Fulya Aybek & Zhao, Qiuhong & Notry, Philippe, 2024. "Comparison of performance between PMS and trombone arrival route topologies in terminal maneuvering area," Journal of Air Transport Management, Elsevier, vol. 115(C).

    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. Andreatta, Giovanni & Dell'Olmo, Paolo & Lulli, Guglielmo, 2011. "An aggregate stochastic programming model for air traffic flow management," European Journal of Operational Research, Elsevier, vol. 215(3), pages 697-704, December.
    2. Hagspihl, Thomas & Kolisch, Rainer & Fontaine, Pirmin & Schiffels, Sebastian, 2024. "Apron layout planning–Optimal positioning of aircraft stands," Transportation Research Part B: Methodological, Elsevier, vol. 179(C).
    3. Diao, Xudong & Chen, Chun-Hsien, 2018. "A sequence model for air traffic flow management rerouting problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 110(C), pages 15-30.
    4. Chen, Yunxiang & Zhao, Yifei & Wu, Yexin, 2024. "Recent progress in air traffic flow management: A review," Journal of Air Transport Management, Elsevier, vol. 116(C).
    5. Xiao, Mingming & Cai, Kaiquan & Abbass, Hussein A., 2018. "Hybridized encoding for evolutionary multi-objective optimization of air traffic network flow: A case study on China," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 115(C), pages 35-55.
    6. Bongo, Miriam F. & Ocampo, Lanndon A., 2017. "A hybrid fuzzy MCDM approach for mitigating airport congestion: A case in Ninoy Aquino International Airport," Journal of Air Transport Management, Elsevier, vol. 63(C), pages 1-16.
    7. Bolić, Tatjana & Castelli, Lorenzo & Corolli, Luca & Rigonat, Desirée, 2017. "Reducing ATFM delays through strategic flight planning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 98(C), pages 42-59.
    8. Ye, Qing Chuan & Zhang, Yingqian & Dekker, Rommert, 2017. "Fair task allocation in transportation," Omega, Elsevier, vol. 68(C), pages 1-16.
    9. Agustı´n, A. & Alonso-Ayuso, A. & Escudero, L.F. & Pizarro, C., 2012. "On air traffic flow management with rerouting. Part I: Deterministic case," European Journal of Operational Research, Elsevier, vol. 219(1), pages 156-166.
    10. Zhe Liang & Wanpracha Art Chaovalitwongse & Elsayed A. Elsayed, 2014. "Sequence Assignment Model for the Flight Conflict Resolution Problem," Transportation Science, INFORMS, vol. 48(3), pages 334-350, August.
    11. Schultz, Michael & Soolaki, Majid & Salari, Mostafa & Bakhshian, Elnaz, 2023. "A combined optimization–simulation approach for modified outside-in boarding under COVID-19 regulations including limited baggage compartment capacities," Journal of Air Transport Management, Elsevier, vol. 106(C).
    12. Li, Max Z. & Ryerson, Megan S., 2019. "Reviewing the DATAS of aviation research data: Diversity, availability, tractability, applicability, and sources," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 111-130.
    13. Bolić, Tatjana & Castelli, Lorenzo & Corolli, Luca & Scaini, Giovanni, 2021. "Flexibility in strategic flight planning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 154(C).
    14. Dong, Qichen & Chen, Fanglin & Chen, Zhongfei, 2020. "Airports and air pollutions: Empirical evidence from China," Transport Policy, Elsevier, vol. 99(C), pages 385-395.
    15. Cynthia Barnhart & Dimitris Bertsimas & Constantine Caramanis & Douglas Fearing, 2012. "Equitable and Efficient Coordination in Traffic Flow Management," Transportation Science, INFORMS, vol. 46(2), pages 262-280, May.
    16. Agustı´n, A. & Alonso-Ayuso, A. & Escudero, L.F. & Pizarro, C., 2012. "On air traffic flow management with rerouting. Part II: Stochastic case," European Journal of Operational Research, Elsevier, vol. 219(1), pages 167-177.
    17. Daş, Gülesin Sena & Gzara, Fatma & Stützle, Thomas, 2020. "A review on airport gate assignment problems: Single versus multi objective approaches," Omega, Elsevier, vol. 92(C).
    18. Hagspihl, Thomas & Kolisch, Rainer & Ruf, Christian & Schiffels, Sebastian, 2022. "Dynamic gate configurations at airports: A network optimization approach," European Journal of Operational Research, Elsevier, vol. 301(3), pages 1133-1148.
    19. Karsu, Özlem & Azizoğlu, Meral & Alanlı, Kerem, 2021. "Exact and heuristic solution approaches for the airport gate assignment problem," Omega, Elsevier, vol. 103(C).
    20. Pellegrini, Paola & Rodriguez, Joaquin, 2013. "Single European Sky and Single European Railway Area: A system level analysis of air and rail transportation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 57(C), pages 64-86.

    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:109:y:2023:i:c:s0969699723000352. 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.