IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i14p8066-d597354.html
   My bibliography  Save this article

Factors Affecting the Rate of Fuel Consumption in Aircrafts

Author

Listed:
  • Thowayeb H. Hassan

    (College of Arts, King Faisal University, Al-Hassa P.O. Box 31982, Saudi Arabia
    Faculty of Tourism and Hotel Management, Helwan University, Cairo P.O. Box 12612, Egypt)

  • Abu Elnasr E. Sobaih

    (Faculty of Tourism and Hotel Management, Helwan University, Cairo P.O. Box 12612, Egypt
    Management Department, College of Business Administration, King Faisal University, Al-Hassa P.O. Box 31982, Saudi Arabia)

  • Amany E. Salem

    (College of Arts, King Faisal University, Al-Hassa P.O. Box 31982, Saudi Arabia
    Faculty of Tourism and Hotel Management, Helwan University, Cairo P.O. Box 12612, Egypt)

Abstract

The cost of fuel and its availability are among the most major concerns for aircrafts and the aviation industry overall. Environmental difficulties with chemical pollutant emissions emitted by aviation machines are also connected to fuel consumption. As a result, it is crucial to examine factors that affect the overall fuel usage and consumption in the airport-based aviation industry. Several variables were investigated related to the total fuel consumed, such as dry operating weight (DOW) (KG), zero-fuel weight (ZFW), take-off weight (TOW), air distance (AIR DIST) (KM), and ground distance (GDN DIST). Analysis of the correlation between total fuel consumed as well as the extra fuel and selected variables was conducted. The results showed that the most positively associated factors with the total used fuel were the air distance (r 2 = 0.86, p < 0.01), ground distance (r 2 = 0.78, p < 0.01), TOW (r 2 = 0.68, p < 0.01), and flight time (r 2 = 0.68, p < 0.01). There was also a strong positive association between the average fuel flow (FF) and actual TOW (r 2 = 0.74, p < 0.01) as well as ZFW (r 2 = 0.61, p < 0.01). The generalized linear model (GLM) was utilized to assess the predictions of total energy usage after evaluating important outliers, stability of the homogeneity of variance, and the normalization of the parameter estimation. The results of multiple linear regression revealed that the most significant predictors of the total consumed fuel were the actual ZFW ( p < 0.01), actual TOW ( p < 0.01), and actual average FF ( p < 0.05). The results interestingly confirmed that wind speed has some consequences and effects on arrival fuel usage. The result reflects that thermal and hydrodynamic economies impact on the flying fuel economy. The research has various implications for both scholars and practitioners of aviation industry.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:14:p:8066-:d:597354
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/14/8066/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/14/8066/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nygren, Emma & Aleklett, Kjell & Höök, Mikael, 2009. "Aviation fuel and future oil production scenarios," Energy Policy, Elsevier, vol. 37(10), pages 4003-4010, October.
    2. Sgouridis, Sgouris & Bonnefoy, Philippe A. & Hansman, R. John, 2011. "Air transportation in a carbon constrained world: Long-term dynamics of policies and strategies for mitigating the carbon footprint of commercial aviation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(10), pages 1077-1091.
    3. Oum, Tae Hoon & Yu, Chunyan, 1998. "Cost competitiveness of major airlines: an international comparison," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(6), pages 407-422, August.
    4. Dabin Xue & Kam K. H. Ng & Li-Ta Hsu, 2020. "Multi-Objective Flight Altitude Decision Considering Contrails, Fuel Consumption and Flight Time," Sustainability, MDPI, vol. 12(15), pages 1-20, August.
    5. David A. Carter & Daniel A. Rogers & Betty J. Simkins, 2006. "Hedging and Value in the U.S. Airline Industry," Journal of Applied Corporate Finance, Morgan Stanley, vol. 18(4), pages 21-33, September.
    6. Chuck, Christopher J. & Donnelly, Joseph, 2014. "The compatibility of potential bioderived fuels with Jet A-1 aviation kerosene," Applied Energy, Elsevier, vol. 118(C), pages 83-91.
    7. Bo Zou & Irene Kwan & Mark Hansen & Dan Rutherford & Nabin Kafle, 2016. "Airline Fuel Efficiency: Assessment Methodologies and Applications in the U.S. Domestic Airline Industry," Advances in Airline Economics, in: Airline Efficiency, volume 5, pages 317-353, Emerald Group Publishing Limited.
    8. Ming Zhang & Qianwen Huang & Sihan Liu & Yu Zhang, 2019. "Fuel Consumption Model of the Climbing Phase of Departure Aircraft Based on Flight Data Analysis," Sustainability, MDPI, vol. 11(16), pages 1-23, August.
    9. David A. Carter & Daniel A. Rogers & Betty J. Simkins, 2006. "Does Hedging Affect Firm Value? Evidence from the US Airline Industry," Financial Management, Financial Management Association International, vol. 35(1), pages 53-86, March.
    10. Fangzi Liu & Zihong Li & Hua Xie & Lei Yang & Minghua Hu, 2021. "Predicting Fuel Consumption Reduction Potentials Based on 4D Trajectory Optimization with Heterogeneous Constraints," Sustainability, MDPI, vol. 13(13), pages 1-33, June.
    11. Olabi, A.G. & Wilberforce, Tabbi & Abdelkareem, Mohammad Ali, 2021. "Fuel cell application in the automotive industry and future perspective," Energy, Elsevier, vol. 214(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. Małgorzata Pawlak & Michał Kuźniar, 2022. "The Effects of the Use of Algae and Jatropha Biofuels on Aircraft Engine Exhaust Emissions in Cruise Phase," Sustainability, MDPI, vol. 14(11), pages 1-10, May.
    2. Ahmadi, Sobhan & Akgunduz, Ali, 2023. "Airport operations with electric-powered towing alternatives under stochastic conditions," Journal of Air Transport Management, Elsevier, vol. 109(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. Kim, Yohan & Lee, Joosung & Ahn, Jaemyung, 2019. "Innovation towards sustainable technologies: A socio-technical perspective on accelerating transition to aviation biofuel," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 317-329.
    2. Berghöfer, Britta & Lucey, Brian, 2014. "Fuel hedging, operational hedging and risk exposure — Evidence from the global airline industry," International Review of Financial Analysis, Elsevier, vol. 34(C), pages 124-139.
    3. Hu, Rong & Xiao, Yi-bin & Jiang, Changmin, 2018. "Jet fuel hedging, operational fuel efficiency improvement and carbon tax," Transportation Research Part B: Methodological, Elsevier, vol. 116(C), pages 103-123.
    4. Jiao Wang & Lima Zhao & Arnd Huchzermeier, 2021. "Operations‐Finance Interface in Risk Management: Research Evolution and Opportunities," Production and Operations Management, Production and Operations Management Society, vol. 30(2), pages 355-389, February.
    5. Sanghak Choi & Hyeonung Jang & Daejin Kim & Byoung Ki Seo, 2021. "Derivatives use and the value of cash holdings: Evidence from the U.S. oil and gas industry," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(3), pages 361-383, March.
    6. Limpaphayom, Piman & Rogers, Daniel A. & Yanase, Noriyoshi, 2019. "Bank equity ownership and corporate hedging: Evidence from Japan," Journal of Corporate Finance, Elsevier, vol. 58(C), pages 765-783.
    7. Monda, Barbara & Giorgino, Marco & Modolin, Ileana, 2013. "Rationales for Corporate Risk Management - A Critical Literature Review," MPRA Paper 45420, University Library of Munich, Germany.
    8. Swidan, Hassan & Merkert, Rico & Kwon, Oh Kang, 2019. "Designing optimal jet fuel hedging strategies for airlines – Why hedging will not always reduce risk exposure," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 20-36.
    9. Choi, Jongmoo Jay & Jiang, Cao, 2009. "Does multinationality matter? Implications of operational hedging for the exchange risk exposure," Journal of Banking & Finance, Elsevier, vol. 33(11), pages 1973-1982, November.
    10. Dionne, Georges & El Hraiki, Rayane & Mnasri, Mohamed, 2023. "Determinants and real effects of joint hedging: An empirical analysis of US oil and gas producers," Energy Economics, Elsevier, vol. 124(C).
    11. Thomas Kiptanui Tarus & Joel K Tenai & Joyce Komen, 2020. "Does Ownership Structure Affect Risk Management? Evidence from an Emerging Economy, Kenya," Journal of Accounting, Business and Finance Research, Scientific Publishing Institute, vol. 8(1), pages 1-10.
    12. Mohamed Mnasri & Georges Dionne & Jean-Pierre Gueyie, 2013. "The Maturity Structure of Corporate Hedging: the Case of the U.S. Oil and Gas Industry," Cahiers de recherche 1337, CIRPEE.
    13. Mayer, Robert & Ryley, Tim & Gillingwater, David, 2015. "Eco-positioning of airlines: Perception versus actual performance," Journal of Air Transport Management, Elsevier, vol. 44, pages 82-89.
    14. Hyeyoon Jung, 2021. "Real Consequences of Shocks to Intermediaries Supplying Corporate Hedging Instruments," Staff Reports 989, Federal Reserve Bank of New York.
    15. Söhnke M. Bartram & Gregory W. Brown & Frank R. Fehle, 2009. "International Evidence on Financial Derivatives Usage," Financial Management, Financial Management Association International, vol. 38(1), pages 185-206, March.
    16. Iatridis, George, 2012. "Hedging and earnings management in the light of IFRS implementation: Evidence from the UK stock market," The British Accounting Review, Elsevier, vol. 44(1), pages 21-35.
    17. Hege, Ulrich & Hutson, Elaine & Laing, Elaine, 2018. "The impact of mandatory governance changes on financial risk management," TSE Working Papers 18-889, Toulouse School of Economics (TSE).
    18. Cigdem Vural-Yavas, 2016. "Determinants of Corporate Hedging: Evidence from Emerging Market," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(12), pages 151-162, December.
    19. Markus Hang & Jerome Geyer-Klingeberg & Andreas W. Rathgeber & Clémence Alasseur & Lena Wichmann, 2021. "Interaction effects of corporate hedging activities for a multi-risk exposure: evidence from a quasi-natural experiment," Review of Quantitative Finance and Accounting, Springer, vol. 56(2), pages 789-818, February.
    20. Massimo Massa & Lei Zhang, 2018. "Does corporate hedging attract foreign institutional investors? Evidence from international firms," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 49(5), pages 605-632, July.

    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:13:y:2021:i:14:p:8066-:d:597354. 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.