Runway–Corridor Composition Shapes Capacity Responses to Multi-Airport Demand Reallocation

Traffic reallocation is usually framed as moving flights toward apparent spare airport capacity, yet the same move can redirect demand through different runways and shared corridors. We tested whether the local capacity response to a fixed reallocation remains invariant to this resource-chain composition. Using a discrete-event model of the Beijing Capital, Beijing Daxing and Tianjin Binhai airports, we crossed seven airport allocations with five prespecified composition levels. At a model-success threshold of 0.90, increasing Beijing Capital’s share by five percentage points produced a finite-search response of [−145,−115] flights under the lower-pressure composition but [10,25] under the higher-pressure composition. The propagated interaction interval was [125,170] flights. The reversal was consistent across three independent seed families, and 95% paired-bootstrap percentile intervals excluded zero for both outer compositions. None of 100 prespecified pressure-label controls met the certain-tail criterion, while seven control intervals overlapped the observed band. These are reference-tail proportions, not a randomization p-value. Runway and corridor relief each restored all seven failing operating-state boundary cases. These results show that reallocation acts on a coupled airport–resource system whose response depends on the complete chains carried by demand. These findings are model-conditional finite-search results under expert-bounded perturbations, not an official capacity determination or a calibrated estimate of operational reliability.

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Publication Details

Journal
Aerospace
Published
2026-08-26
DOI
https://doi.org/10.3390/aerospace13090766
Primary Topic
Air Traffic Management and Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Runway–Corridor Composition Shapes Capacity Responses to Multi-Airport Demand Reallocation

Peng Ying, Du Maowei, Changcheng Li, Zheng Zhao et al.
Aerospace
Air Traffic Management and Optimization
article

Runway–Corridor Composition Shapes Capacity Responses to Multi-Airport Demand Reallocation

Peng Ying, Du Maowei, Changcheng Li, Zheng Zhao, Minghua Hu, Bin Jiang, Yuxin Hu
article en

Abstract

Traffic reallocation is usually framed as moving flights toward apparent spare airport capacity, yet the same move can redirect demand through different runways and shared corridors. We tested whether the local capacity response to a fixed reallocation remains invariant to this resource-chain composition. Using a discrete-event model of the Beijing Capital, Beijing Daxing and Tianjin Binhai airports, we crossed seven airport allocations with five prespecified composition levels. At a model-success threshold of 0.90, increasing Beijing Capital’s share by five percentage points produced a finite-search response of [−145,−115] flights under the lower-pressure composition but [10,25] under the higher-pressure composition. The propagated interaction interval was [125,170] flights. The reversal was consistent across three independent seed families, and 95% paired-bootstrap percentile intervals excluded zero for both outer compositions. None of 100 prespecified pressure-label controls met the certain-tail criterion, while seven control intervals overlapped the observed band. These are reference-tail proportions, not a randomization p-value. Runway and corridor relief each restored all seven failing operating-state boundary cases. These results show that reallocation acts on a coupled airport–resource system whose response depends on the complete chains carried by demand. These findings are model-conditional finite-search results under expert-bounded perturbations, not an official capacity determination or a calibrated estimate of operational reliability.

AerospaceVol. 13(9)
Airport Shunyi District Hospital (CN), Traffic Management Research Institute (CN), Nanjing University of Aeronautics and Astronautics (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Decent work and economic growth
Openalex Percentile: Top 6%
Air Traffic Management and Optimization
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