跑滑系统, 性能响应函数, 韧性水平指数, 韧性水平分级, Anylogic 仿真, 不利气象条件

In response to the prominent problems faced by most large civil aviation airports in China, such as capacity saturation and high operational pressure, as well as the weak resilience research in China′s civil aviation infrastructure field under unfavorable meteorological conditions, a 4E airport in North China is taken as the research object, firstly, the running and sliding system simulation model of this airport is established by Anylogic simulation

tool, and the performance response function F（t） of the running and sliding system is constructed based on

three parameters: the total number of take-off and landing sorties completed up to t hour N(t), the total number

of take-off and landing sorties within t hour nt and the average taxiing time T(t). Secondly, on this basis, according to the basic concept of performance response function method, the resilience index R of running and sliding

system is proposed. Then, further referring to the arithmetic mean and one standard deviation results of airport resilience index from previous research, a 5-level classification standard for the resilience level of the running and

sliding system is proposed, including low, relatively low, medium, relatively high, and high resilience. Finally,

according to the above research, it is concluded that the resilience level of running and sliding system fluctuates

due to the influence of flight arrangement density, and the airport performs well under short -term and small

snowfall conditions, where the resilience index is above 0.680 0. However, the resilience level of the system

needs to be improved under long-term and heavy snowfall conditions, and the resilience index is only 0.472 1

under the most unfavorable conditions. This study can provide references for the research and application of the

resilience theory of civil aviation infrastructure.

running and sliding system, performance response function, resilience level index, resilience level grading,

Anylogic simulation, unfavorable meteorological condition