TY - GEN
T1 - Modeling Domestic Passenger Transportation in the Republic of Kazakhstan During Pandemic Period
AU - Boranbayev, Askar
AU - Boranbayev, Seilkhan
AU - Muratov, Tolendi
AU - Mussabekov, Arman
AU - Nurbekov, Askar
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - In the article, a model was developed to model domestic passenger traffic on the territory of the Republic of Kazakhstan, which, in particular, includes such indicators as ticket prices, weekends and holidays, hub-type airports, tourist zones, etc. The model takes into account the number of people who bought tickets and space of aircrafts. The model is built using a system of simultaneous equations. The collected information is securely stored in a database and is easily processed and managed by writing queries. An analysis is made of measures to ensure the economic sustainability of the air transportation sector in the context of pandemics. Reliability and fault tolerance of software systems in the field of air transportation are analyzed.
AB - In the article, a model was developed to model domestic passenger traffic on the territory of the Republic of Kazakhstan, which, in particular, includes such indicators as ticket prices, weekends and holidays, hub-type airports, tourist zones, etc. The model takes into account the number of people who bought tickets and space of aircrafts. The model is built using a system of simultaneous equations. The collected information is securely stored in a database and is easily processed and managed by writing queries. An analysis is made of measures to ensure the economic sustainability of the air transportation sector in the context of pandemics. Reliability and fault tolerance of software systems in the field of air transportation are analyzed.
KW - Automation
KW - Aviation
KW - Equation
KW - Fault tolerance
KW - Gross domestic product
KW - Information system
KW - Model
KW - Passenger kilometers
KW - Reliability
KW - Safety
UR - http://www.scopus.com/inward/record.url?scp=85118995740&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85118995740&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-89906-6_52
DO - 10.1007/978-3-030-89906-6_52
M3 - Conference contribution
AN - SCOPUS:85118995740
SN - 9783030899059
T3 - Lecture Notes in Networks and Systems
SP - 820
EP - 831
BT - Proceedings of the Future Technologies Conference, FTC 2021, Volume 1
A2 - Arai, Kohei
PB - Springer Science and Business Media Deutschland GmbH
T2 - 6th Future Technologies Conference, FTC 2021
Y2 - 28 October 2021 through 29 October 2021
ER -