A Hybrid Model for the Impact of COVID-19 Prevention Measures on the Sustainable Development of the Aviation System

Table 4

Number of infected and passenger flow with none of passenger wearing masks.

Scenarios	Airport facilities	Social distance (contact rate, CR)	1 asymptomatic infections (A1)	5 asymptomatic infections (A5)	10 asymptomatic infections (A10)
Normal passenger flow (1)	Current setting (A)	CR = 20 (a)	2/4742	11/4811	20/4863
		CR = 20 ∗ 0.8 (b)	2/4810	11/4956	19/4917
		CR = 20 ∗ 0.6 (c)	1/4988	8/4962	17/4816
	Waiting hall capacity reduced by 20% (B)	CR = 20 (a)	1/4828	6/4775	13/4880
		CR = 20 ∗ 0.8 (b)	1/4816	6/4893	13/4993
		CR = 20 ∗ 0.6 (c)	1/4773	6/4948	12/4876
	Add 4 ticket gates and security gates (C)	CR = 20 (a)	2/4896	7/4896	13/4882
		CR = 20 ∗ 0.8 (b)	1/4942	6/4918	13/4815
		CR = 20 ∗ 0.6 (c)	1/4831	6/4896	13/4876
80% passenger flow (2)	Current setting (A)	CR = 20 (a)	2/3953	7/3786	17/3939
		CR = 20 ∗ 0.8 (b)	1/3975	6/3885	16/3847
		CR = 20 ∗ 0.6 (c)	1/3936	6/3872	14/3815
	Waiting hall capacity reduced by 20% (B)	CR = 20 (a)	1/3767	6/3878	12/3778
		CR = 20 ∗ 0.8 (b)	1/3868	6/3929	12/3888
		CR = 20 ∗ 0.6 (c)	1/3928	6/3884	12/3816
	Add 4 ticket gates and security gates (C)	CR = 20 (a)	1/3899	6/3801	12/3783
		CR = 20 ∗ 0.8 (b)	1/3869	5/3867	11/3895
		CR = 20 ∗ 0.6 (c)	1/3812	5/3896	11/3897

Infectious/passenger flow.