| Airport network is the operation guarantee of air transportation,and the necessary environment for aircraft departure and landing,production scheduling and passenger and freight transportation.The occurrence of special weather is a natural phenomenon and an inexorable factor,which accounts for the first proportion of the factors affecting the flight irregularity in recent years.Resilience is an important part of sustainable development.In order to study the resilience of airport network after special weather disturbance,the concept of resilience is introduced into the airport network.The research object of this paper is the airport network.Combined with the actual data of the airport operations,the complex network theory is used to measure and optimize the network resilience of the airport network disturbed by special weather events.Firstly,establish an airport network model and empirical analysis.Based on the complex network theory,the airport network model composed of 180 airports is constructed by taking airports as nodes and connecting the airports according to the navigation routes.The characteristic indexes such as node degree and clustering coefficient of the airport network are defined,and the empirical analysis and correlation analysis of the airport network are carried out.The results show that: the average degree of the airport network is 12.956,which indicates that each airport has an average connection relationship of 13 sides with other airports;with the increase of node degree,the clustering coefficient shows a linear downward trend,and the number of flights shows a linear upward trend;according to the judgment formula of small world network,the airport network has the characteristics of small world network,and the abnormal influence of nodes will proliferation in the network Come on.Secondly,the resilience of airport network is measured and analyzed.Based on the operational characteristics of the airport network,the airport network resilience is defined as the ability of the airport network to adapt and quickly recover the interference events that cause the node function degradation,node shutdown and flight flow reduction while providing acceptable operational performance.The 4R attributes of airport network are proposed,which are robustness,rapidity,redundancy and recoverability,respectively.The calculation formulas of robustness and rapidity are given,and the resilience index is proposed as the resilience measure index of airport network.Taking the "721" heavy rain event as a case study,this paper measures and analyzes the resilience of the affected airport network.The results show that: after the occurrence of special weather,the operation performance of the airport network presents a change process of "stability-decline-recovery-re-stability";the resilience index R is 0.042.Finally,the airport network resilience is optimized in special weather.Airport nodes are affected by special weather interference,resulting in capacity decline,flight can not normally start,network performance decline.When the special weather interference event occurs,the optimization model of airport flight take-off time is constructed,and the genetic algorithm is designed to solve it.The simulation results are obtained by taking the real data as an example,and verified according to the changes of network operation performance before and after optimization and the resilience measure index.The results show that the resilience index of the optimized airport network is 0.091,which is 0.046 higher than that before optimization.Among them,the robustness is improved by 0.09,which indicates that the anti-interference ability of the airport network is improved;the rapidity is improved by 2 hours,which indicates that the recovery speed of the airport network is improved. |
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