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Predicting the Market for Air Transportation of Heavy Nonstandard Loads

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Abstract

Prediction of the demand for the An-124-100 airplane in freight air transport by simulation is considered. Analysis of model data reveals the dynamics of the basic air freight characteristics—specifically the growth in demand for the delivery of heavy nonstandard cargo—and the need to resume Russian production of heavy-duty freight carriers analogous to the An-124-100 aircraft. The projected demand for new aircraft takes account of both overall increase in demand for the delivery of heavy nonstandard cargo and the decommissioning of aging aircraft currently in operation.

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REFERENCES

  1. ICAO website. https://www.icao.int/sustainability/Documents/RTK%20ranking/International%20Total%20 RTK%20Rankings_2017_SIDS_LDC_LLDC.PDF.

  2. Gyazova, M.M., Sovershenstvovanie prognozirovaniya i diversifikatsiya kak instrumenty obespecheniya ekonomicheskoi ustoichivosti aviakompanii: monografiya (Improvement of Forecasting and Diversification as the Tools to Support Economic Stability of an Airline Company: Monograph), Moscow: Triada, 2015.

  3. Volga-Dnepr airlines. http://www.volga-dnepr.com.

  4. Foresight of the development of aviation science and technology until 2030. https://foresight.hse.ru/news/ 68825057.html.

  5. Gyazova, M.M., Simulation of use of cargo ramp aircrafts, Vestn. Mosk. Aviats. Inst., 2017, vol. 24, no. 2, pp. 241–248.

    Google Scholar 

  6. Desyatnichenko, I.A., Organization of a structured cargo business as part of a multidisciplinary airline company, Extended Abstract of Cand. Sci. (Econ.) Dissertation, Moscow: State Univ. Manage., 2006.

  7. Gromov, N.N. and Desyatnichenko, I.A., Guide for the organization of market research in a cargo airline, Vestn. Univ., Gos. Univ. Upr., 2006, no. 2 (15).

  8. Kraev, V.M., Siluyanova, M.V., and Tikhonov, A.I., Approaches to life cycle modeling of modern domestic aircraft engines, Fin. Ekon., 2019, no. 2, pp. 177–183.

  9. Global Insight. https://ihsmarkit.com/products/supply-management-solution.html.

  10. Konstantinov, A.S., Competitiveness of cargo ramp aircrafts for transportation of large superheavy and non-standard cargo, Mezhdunar. Nauchno-Issled. Zh., 2013, no. 6-1 (13), pp. 60–67.

  11. Kraev, V.M., Siluyanova, M.V., and Tikhonov, A.I., Approaches to the development of life cycle models of domestic aircraft equipment, Mosk. Ekon. Zh., 2019, no. 1, pp. 52–58.

  12. Agashina, Yu.E., Verification of the adequacy and verification means of forecasted models, Sovrem. Naukoemkie Tekhnol., 2007, no. 2, pp. 74–75.

  13. Kostromina, E.V., Aviatransportnyi marketing: Uchebnoe posobie (Air Transport Marketing: Manual), Moscow: Avia-Biznes, 2003.

  14. Kostromina, E.V., Ekonomika aviakompanii v usloviyakh rybka: Uchebnoe posobie (Economics of Airline Company in Market Conditions: Manual), Moscow: Avia-Biznes, 2005.

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Authors and Affiliations

  1. Moscow Aviation Institute, Moscow, Russia

    M. M. Gyazova & M. V. Siluyanova

Authors
  1. M. M. Gyazova
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  2. M. V. Siluyanova
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Correspondence to M. M. Gyazova or M. V. Siluyanova.

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Translated by B. Gilbert

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Gyazova, M.M., Siluyanova, M.V. Predicting the Market for Air Transportation of Heavy Nonstandard Loads. Russ. Engin. Res. 40, 666–668 (2020). https://doi.org/10.3103/S1068798X20080110

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  • DOI: https://doi.org/10.3103/S1068798X20080110

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