Abstract
A system-integrated aviation cluster employing small aircraft is proposed as a means of developing air transportation in Russia. Passenger and cargo flights are planned. The creation of an airport network around large cities is optimized, so as to link population centers. Factors taken into account include the traffic density between the population centers and the prospects for regional development. The proposed cluster will stimulate Russia’s aircraft industry (in particular, drone production); and boost high-technology aircraft maintenance in Russia. It will facilitate infrastructure development in the regions, as well as job creation.
REFERENCES
Tikhonov, A.I., Sazonov, A.A., and Novikov, S.V., Multilevel digital ecosystem for manufacturing enterprises: Attracting venture capital, Russ. Eng. Res., 2023, vol. 43, no. 5, pp. 611–614. https://doi.org/10.3103/S1068798X23050350
Russian Government, Strategiya razvitiya aviatransportnoï otrasli Rossiiskoi Federatsii na period do 2030 goda (Strategy for the Development of the Air Transportation Industry of the Russian Federation Until 2030). http://www.government.ru
Ministry of Industry and Trade of Russia, Gosudarstvennaya programma Rossiiskoi Federatsii “Razvitie aviatsionnoi promyshlennosti” (State Program of the Russian Federation “Development of the Aviation Industry”). https://www.minpromtorg.gov.ru
Shollet, F., Deep Learning with Python, Shelter Island, NY: Manning, 2021, 2nd ed.
Bird, S., Klein, E., and Loper, E., Natural Language Processing with Python, Beijing–Cambridge: O’Reilly Media, 2009.
Vladychek, V.S., Issues of ensuring economic security of the aviation industry enterprise, Vestn. Univ., 2014, no. 21, pp. 71–76.
Sergeeva, I.A., Kompleksnaya sistema obespecheniya ekonomicheskoi bezopasnosti predpriyatiya: Uchebnoe posobie (Complex System of Ensuring Economic Security of the Enterprise: Manual), Pensa: Penza State Univ., 2017.
Nekhrest-Bobkova, A.A. and Burdina, A.A., Mechanism for assessing the efficiency of innovation projects on the basis of neural network technologies, RISK: Resur., Inf., Snabzh., Konkurents., 2020, no. 2, pp. 44–50.
Prokhorov, A. and Lysachev, M., Tsifrovoi dvoinik. Analiz, trendy, mirovoi opyt (Digital Twin. Analysis, Trends, Global Experience), Moscow: Al’yansPrint, 2020.
Novikov, S.V., Organization of management systems for material resources at knowledge-intensive enterprises, Russ. Eng. Res., 2023, vol. 43, no. 7, pp. 883–886. https://doi.org/10.3103/S1068798X23070262
Novikov, S.V., Assessment of labor intensity in research and development, Russ. Eng. Res., 2021, vol. 41, no. 1, pp. 86–88. https://doi.org/10.3103/S1068798X21010172
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Translated by B. Gilbert
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Burdina, A.A., El Said, A.F. & Borodina, N.A. System-Integrated Aviation Clusters Employing Small Aircraft. Russ. Engin. Res. 44, 453–457 (2024). https://doi.org/10.3103/S1068798X24700163
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DOI: https://doi.org/10.3103/S1068798X24700163