Estimating methods of passenger throughput for hub airport based on reverse gravity model

LIU Xiao-ming; XIA Hong-shan

Volume 8 Issue 2

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LIU Xiao-ming, XIA Hong-shan. Estimating methods of passenger throughput for hub airport based on reverse gravity model[J]. Journal of Traffic and Transportation Engineering, 2008, 8(2): 85-89.

Citation:

LIU Xiao-ming, XIA Hong-shan. Estimating methods of passenger throughput for hub airport based on reverse gravity model[J]. Journal of Traffic and Transportation Engineering, 2008, 8(2): 85-89.

LIU Xiao-ming, XIA Hong-shan. Estimating methods of passenger throughput for hub airport based on reverse gravity model[J]. Journal of Traffic and Transportation Engineering, 2008, 8(2): 85-89.

Citation:

LIU Xiao-ming, XIA Hong-shan. Estimating methods of passenger throughput for hub airport based on reverse gravity model[J]. Journal of Traffic and Transportation Engineering, 2008, 8(2): 85-89.

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Estimating methods of passenger throughput for hub airport based on reverse gravity model

School of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, Jiangsu, China

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Author Bio:
Liu Xiao-ming(1963-), male, doctoral student, +86-25-84891165, lxiaom66@126.com

Xia Hong-shan(1952-), male, PhD, professor, +86-25-84891165, xhsca@nuaa.edu.cn
Received Date: 2007-09-12
Publish Date: 2008-04-25

Abstract

Abstract

To accurately estimate airport passenger throughput based on airline passenger flow OD data, both full-connected linear network and hub-spoke network were discussed, according to passenger flow OD matrix between hub airports, a standard algebraic algorithm of reverse gravity model was developed, and a simplified algebraic algorithm was put forward with the Hamiltonian graphs, and the fitting precisions of two algorithms were studied under defferent ranging exponents.Analysis result indicates that two algorithms' deterministic coefficients of the best throughput regression lines are 0.84, their slope values are 0.91 and 0.87 respectively.So two algorithms have good fitting effects and high estimating precisions, and simplified algebraic algorithm needs only a very small data, which can be used for large-scale OD matrix analysis.
- traffic planning,
- hub airport,
- passenger throughput,
- reverse gravity model

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References(12)

References

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