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Planning for balanced growth in Chinese air traffic: A case for statistical mechanics

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  • Huber, Hans

Abstract

This paper identifies drivers of variations within air traffic systems highlighting inefficient mechanisms that can lead to system sub-optimality. Domestic air traffic in China is used as a case study. Airports need to respond to local demands with airlines that control parts of the system as agents. The relationship between the agent's behavior and system-wide variations in traffic movements shows how the collective behavior of a relatively few agents can disproportionately influence the system-wide traffic distribution.

Suggested Citation

  • Huber, Hans, 2010. "Planning for balanced growth in Chinese air traffic: A case for statistical mechanics," Journal of Air Transport Management, Elsevier, vol. 16(4), pages 178-184.
    • Handle: RePEc:eee:jaitra:v:16:y:2010:i:4:p:178-184
    DOI: 10.1016/j.jairtraman.2009.11.002
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    References listed on IDEAS

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    1. Short, Jack & Kopp, Andreas, 2005. "Transport infrastructure: Investment and planning. Policy and research aspects," Transport Policy, Elsevier, vol. 12(4), pages 360-367, July.
    2. Wei, Wenbin & Hansen, Mark, 2006. "An aggregate demand model for air passenger traffic in the hub-and-spoke network," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(10), pages 841-851, December.
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    Cited by:

    1. Zhang, Baocheng & Wu, Hao & Yang, Xinsheng & Zhai, Wenpeng & Xia, Qingjun & Li, Yafei, 2014. "An estimation of returns to scale of airport airsides under multiple optimal solutions in DEA," Journal of Air Transport Management, Elsevier, vol. 40(C), pages 149-156.
    2. Hans Huber, 2016. "Network structure, capacity growth and route hierarchies: the case of China’s air traffic system revisited," Transportation Planning and Technology, Taylor & Francis Journals, vol. 39(7), pages 712-729, October.

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