Topologic and dynamic resilience model of Chinese airport network

The capability that transport networks stay robust against attacks or failures is of significant concern. In this paper, we proposed a model for resilience of Chinese airport network (CAN) with data from real world and obtain its performance in aspects of topology analysis and dynamic procedure. We compare changes in static properties, such as clustering coefficient, diameter and efficiency under various attack strategies together with random error and uncover that CAN is robust yet fragile. By examining cascading failure based on a local load redistribution rule, we further demonstrate that it would be relatively robust as long as the capacity of each airport is beyond a threshold, which is marked as the phase transition point. Adopting the initial load of a node i to be the throughput of that airport, we propose the critical value T_c, where capacity is the product of tolerance parameter T and its throughput. If viewing the initial load as k_i^α with k_i being the degree of the node i , CAN would achieve the strongest robustness level in the case of α=1.1, distinct from that of BA network with scale-free property, whose best case happens when α=1.0. These results may be quite helpful to design and build a reliable air-traffic system.