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A method to Evaluate the Rationality of Check-in Island Usage during Flight Departure Peak Period
Author(s) -
Yunyan Gu,
Jianhua Yang,
Guo Xie
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1607/1/012058
Subject(s) - civil aviation , occupancy , rationality , transport engineering , ticket , terminal (telecommunication) , distribution (mathematics) , computer science , aviation , operations research , statistics , engineering , telecommunications , mathematics , civil engineering , computer security , mathematical analysis , political science , law , aerospace engineering
With the rapid development of civil aviation in China, air lines and passenger throughput are increasing. Evaluating the rationality of check-in islands usage can effectively avoid overload of baggage system in some check-in islands and low utilization rate of other check-in islands during flight departure peak period, which is conducive to improving the utilization rate of resources and the efficiency of passenger ticket handling in terminal. According to Statistics of daily flight data of Shenzhen Airport in 2017, the average number of passengers in each check-in island is calculated based on the factors such as the number of flights, type of aircraft and passenger occupancy rate.According to the time rule of passengers arriving at the terminal, the arrival distribution of passengers in different time periods is obtained by weight which is the probability of passenger arrival in different periods.The number of passengers in the same period is divided by unit time, and the distribution of the number of passengers arriving at different times is obtained.The number of passengers arriving at the same unit time for each check-in island is accumulated.According to the hourly theoretical design capacity of check-in island baggage system, the rationality of single check-in island is evaluated.It provides scientific and intuitive decision-making basis for optimizing airport check-in resources during flight peak period.

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