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Hub location and Tube airline network design based on FCM algorithm

WANG Li-li,LIU Bing,ZHAO Ru-bin   

  1. (College of Air Traffic Management,CAUC,Tianjin 300300,China)
  • Received:2013-03-20 Revised:2013-04-19 Online:2014-08-26 Published:2014-10-31

Abstract:

Tube route is an important way to relieve airspace tension. Fuzzy C-means clustering method is applied aiming at aviation hub location problem,clustering the data of airport taking off and landing,degree centrality and GDP of cities,the various grades of hub are achieved. Then the adjacent cities are combined according to geographical position,the initial network is completed after the city agglomerations are selected,which is simplified using the shortest path algorithm to get the final result of centre route network,the results feedback is analyzed to provide theoretical basis for China's airspace reform.

Key words: air transportation, Tube airline network, hub location, FCM algorithm

CLC Number: