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Simulation analysis of factors affecting air route connection in China

Author

Listed:
  • Zhang, Yaping
  • Peng, Ting
  • Fu, Chuanyun
  • Cheng, Shaowu

Abstract

In order to explore the impacts of various factors on air route connection, a probability model is constructed to simulate the Chinese airline network (CAN) in 2010, and the influences of tertiary industry output, degree and the spatial distance between two navigable cities on the analog results are discussed. Our research shows that, the opening of an air route is not completely determined by the potential air passenger flow of it, although the latter is playing a leading role. In addition, the connection probability of an air route is significantly affected by the tertiary industry outputs and degrees of corresponding two navigable cities, but little influenced by the spatial distance between them. Moreover, scale economies effect obtained from the increasing of degree is apparently greater than that brought by the developing of social economy, so CAN is more inclined to evolve into a hub-and-spoke network.

Suggested Citation

  • Zhang, Yaping & Peng, Ting & Fu, Chuanyun & Cheng, Shaowu, 2016. "Simulation analysis of factors affecting air route connection in China," Journal of Air Transport Management, Elsevier, vol. 50(C), pages 12-20.
    • Handle: RePEc:eee:jaitra:v:50:y:2016:i:c:p:12-20
    DOI: 10.1016/j.jairtraman.2015.09.002
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    References listed on IDEAS

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    1. Jia, Tao & Qin, Kun & Shan, Jie, 2014. "An exploratory analysis on the evolution of the US airport network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 413(C), pages 266-279.
    2. Bagler, Ganesh, 2008. "Analysis of the airport network of India as a complex weighted network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(12), pages 2972-2980.
    3. Qian, Jiang-Hai & Han, Ding-Ding, 2009. "A spatial weighted network model based on optimal expected traffic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(19), pages 4248-4258.
    4. Zhang, Jun & Cao, Xian-Bin & Du, Wen-Bo & Cai, Kai-Quan, 2010. "Evolution of Chinese airport network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(18), pages 3922-3931.
    5. Liu, Xingjian & Derudder, Ben & García, Cándida Gago, 2013. "Exploring the co-evolution of the geographies of air transport aviation and corporate networks," Journal of Transport Geography, Elsevier, vol. 30(C), pages 26-36.
    6. Zhang, Hai-Tian & Yu, Tao & Sang, Jian-Ping & Zou, Xian-Wu, 2014. "Dynamic fluctuation model of complex networks with weight scaling behavior and its application to airport networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 393(C), pages 590-599.
    7. Jimenez, Edgar & Claro, João & Pinho de Sousa, Jorge, 2012. "Spatial and commercial evolution of aviation networks: a case study in mainland Portugal," Journal of Transport Geography, Elsevier, vol. 24(C), pages 383-395.
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