Volume 26 Issue 6
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HOU Zong-hao, LI Gang. Performance evaluation of post-earthquake material reception in airport hubs considering dynamic receiving efficiency[J]. Journal of Traffic and Transportation Engineering, 2026, 26(6): 221-238. doi: 10.19818/j.cnki.1671-1637.2026.028
Citation: HOU Zong-hao, LI Gang. Performance evaluation of post-earthquake material reception in airport hubs considering dynamic receiving efficiency[J]. Journal of Traffic and Transportation Engineering, 2026, 26(6): 221-238. doi: 10.19818/j.cnki.1671-1637.2026.028
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Performance evaluation of post-earthquake material reception in airport hubs considering dynamic receiving efficiency

doi: 10.19818/j.cnki.1671-1637.2026.028

  • State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, Liaoning, China

Funds:

National Natural Science Foundation of China 52225804

National Natural Science Foundation of China 52038002

Fundamental Research Funds for the Central Universities DUT25RW305

More Information
  • Corresponding author: LI Gang, professor, PhD, E-mail: gli@dlut.edu.cn
  • Received Date: 2025-04-03
  • Accepted Date: 2025-08-25
  • Rev Recd Date: 2025-07-04
  • Publish Date: 2026-06-28
    Abstract
  • To scientifically evaluate the emergency material reception capacity of airport hubs after earthquakes, the material receiving efficiency index (MREI) was proposed in response to the shortcomings of traditional static evaluation methods in terms of time-varying characteristics and system dynamic response. Combined with engineering system resilience theory and dynamic efficiency, a full-cycle evaluation framework for post-earthquake airport emergency material reception capacity was established. The dynamic evaluation of post-earthquake airport material reception capacity was realized by quantifying the time-varying deviation between actual and ideal cumulative material received based on MREI. The impact of equipment damage, dynamic scheduling, and resource interaction on receiving efficiency was reflected in real time. A multi-agent model was constructed to enable the quantitative calculation of MREI by simulating the impact of equipment damage, dynamic scheduling, and resource interaction on material reception. The model integrates a Bayesian network to quantify the functional status of subsystems, and adopts the Monte Carlo method to simulate seismic uncertainty. The case analysis shows that based on MREI, the impact law of peak ground acceleration, aircraft type ratio, and arrival interval on reception capacity can be effectively revealed. Post-earthquake airport material reception capacity decreases gradually with higher strength, and 4E airports are generally superior to 4D ones. When the proportion of large aircraft exceeds 0.7 (for 4E airports) and 0.4 (for 4D airports), the reception capacity attenuates significantly. For 4E airports with an ideal material reception demand of 2 000 t, there exists an optimal arrival interval range (16 - 19 min). This range allows MREI to be maintained above 0.8, and shortens the total material reception time by 23% compared with the minimum interval (3 min). MREI overcomes the limitations of traditional static indexes such as throughput and the number of flight diversions, and provides an integrated quantitative tool of "damage assessment-function calculation-dynamic simulation-strategy optimization" for post-earthquake emergency decision-making. Its dynamic evaluation capability also offers valuable methodological support for research on transportation hub resilience.

     

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