Author(s)

Zhihao Chen ¹, Ruiwen Yu ¹, Xiaolin Peng ¹, Qian Wu ², Zhifeng Lin ², Duo Wang ³

Affiliation(s)

¹ Operation Control Center, Guangzhou Baiyun International Airport Co., Ltd., Guangzhou, China
² Department of Aviation Safety Management, Civil Aviation Management Institute of China Beijing, Beijing, China
³ Shenzhen Resil-safe Consulting Co., Shenzhen, China

Corresponding Author

Qian Wu

ABSTRACT

Business capacity is an important content of business continuity management research. This paper constructs an analysis model to study activity process capacity and business capacity, and uses domestic flight passenger transportation business data from the T1 and T2 terminals of A Airport to conduct an empirical study on passenger transportation business capacity. The research results show that passenger transportation business capacity is restricted by its each activity process capacity. Passenger transportation business capacity analysis can be obtained in three steps. First, sort out the activity process of passenger transportation business and determine the sequence of each activity process; then determine the standard capacity per unit time of each activity process; and finally build an analysis model based on the queuing theory. The empirical analysis of A airport shows that the activity process hindering the increase in the domestic flight passenger transportation business capacity of A airport terminals is passengers’ luggage check and passengers security check. In an emergency that only T1 terminal handles domestic flight passenger transportation business, T1 terminal can not undertake all domestic flight passenger transportation business of the two terminals even if all resources are available. At this scenario, the passengers’ luggage check activity process is the blocking point.

KEYWORDS

capacity analysis, airport terminal, domestic flight transportation, business continuity

CITE THIS PAPER

Zhihao Chen, Ruiwen Yu, Xiaolin Peng, Qian Wu, Zhifeng Lin, Duo Wang, Airport Terminal Capacity Analysis based on Passenger Transportation Business. Industrial Engineering and Innovation Management (2022) Vol. 5: 50-58. DOI: http://dx.doi.org/10.23977/ieim.2022.050307.

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