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Estimating the mean waiting time in airports through cooperative disaster response operations

Author

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  • Choi, Sunkyung
  • Hanaoka, Shinya

Abstract

Airport use rises in response to the need to transport people and deliver aid following a disaster episode. However, owing to unexpected demand and the availability of multiple aircraft operators and organizations, the fluctuating waiting time in airports has become an operational bottleneck. This requires airports to carry out cooperative disaster response operations in the region to relieve congestion and reduce response time. This study develops a model to estimate the mean waiting time in airports through cooperative disaster response operations, using an open Jackson network model. It presents a numerical example to understand the different operational schemes. The result shows that assignment by adjusting the transition probability to meet the airport's service rate is the optimal case through cooperative operations. The policy implication for airport operators is that airports must be prepared to handle a balanced role assignment during disaster responses.

Suggested Citation

  • Choi, Sunkyung & Hanaoka, Shinya, 2017. "Estimating the mean waiting time in airports through cooperative disaster response operations," Journal of Air Transport Management, Elsevier, vol. 65(C), pages 11-17.
    • Handle: RePEc:eee:jaitra:v:65:y:2017:i:c:p:11-17
    DOI: 10.1016/j.jairtraman.2017.05.010
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    Cited by:

    1. Polater, Abdüssamet, 2020. "Airports’ role as logistics centers in humanitarian supply chains: A surge capacity management perspective," Journal of Air Transport Management, Elsevier, vol. 83(C).

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