TY - JOUR
T1 - Analysis of the Chinese Airline Network as multi-layer networks
AU - Du, Wen Bo
AU - Zhou, Xing Lian
AU - Lordan, Oriol
AU - Wang, Zhen
AU - Zhao, Chen
AU - Zhu, Yan Bo
N1 - Publisher Copyright:
© 2016 Elsevier Ltd.
PY - 2016/5/1
Y1 - 2016/5/1
N2 - This paper encapsulates the Chinese Airline Network (CAN) into multi-layer infrastructures via the "k-core decomposition" method. The network is divided into three layers: Core layer, containing airports of provincial capital cities, is densely connected and sustains most flight flow; Bridge layer, consisting of airports in Tier 2 and Tier 3 cities, mainly connects two other layers; and Periphery layer, comprising airports of remote areas, sustains little flight flow. Moreover, it is unveiled that CAN stays the most robust when low-degree nodes or high flight flow links are removed, which is similar to the Worldwide Airline Network (WAN), albeit less redundant.
AB - This paper encapsulates the Chinese Airline Network (CAN) into multi-layer infrastructures via the "k-core decomposition" method. The network is divided into three layers: Core layer, containing airports of provincial capital cities, is densely connected and sustains most flight flow; Bridge layer, consisting of airports in Tier 2 and Tier 3 cities, mainly connects two other layers; and Periphery layer, comprising airports of remote areas, sustains little flight flow. Moreover, it is unveiled that CAN stays the most robust when low-degree nodes or high flight flow links are removed, which is similar to the Worldwide Airline Network (WAN), albeit less redundant.
KW - Air transport network
KW - Chinese Airline Network
KW - K-core decomposition
UR - https://www.scopus.com/pages/publications/84962599602
U2 - 10.1016/j.tre.2016.03.009
DO - 10.1016/j.tre.2016.03.009
M3 - 文章
AN - SCOPUS:84962599602
SN - 1366-5545
VL - 89
SP - 108
EP - 116
JO - Transportation Research Part E: Logistics and Transportation Review
JF - Transportation Research Part E: Logistics and Transportation Review
ER -