Volume 48 Issue 12
Dec.  2022
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LUO Qian, LI Qi, WEN Tao, et al. Optimization of transfer time efficiency evaluation index for airport arriving passengers[J]. Journal of Beijing University of Aeronautics and Astronautics, 2022, 48(12): 2365-2372. doi: 10.13700/j.bh.1001-5965.2021.0116(in Chinese)
Citation: LUO Qian, LI Qi, WEN Tao, et al. Optimization of transfer time efficiency evaluation index for airport arriving passengers[J]. Journal of Beijing University of Aeronautics and Astronautics, 2022, 48(12): 2365-2372. doi: 10.13700/j.bh.1001-5965.2021.0116(in Chinese)

Optimization of transfer time efficiency evaluation index for airport arriving passengers

doi: 10.13700/j.bh.1001-5965.2021.0116
Funds:

National Key R & D Program of China 2018YFB1601200

Sichuan Science and Technology Program 2019JDTD0001

Sichuan Science and Technology Program 20ZDYF3373

More Information
  • Corresponding author: LUO Qian, E-mail: luoqian@caacetc.com
  • Received Date: 15 Mar 2021
  • Accepted Date: 20 Jun 2021
  • Publish Date: 30 Jun 2021
  • The evaluation of transfer time efficiency is of great significance to improve the transfer efficiency of airport comprehensive transportation. The traditional index optimization method is difficult to truly reflect the index relationship and lacks of index screening rules in the transfer evaluation of inbound passengers at civil aviation airports. In light of the aforementioned issues, according to the target layer, factor layer, index layer and the correlation characteristics of indicators in the index system, this paper abstracts the importance, correlation equilibrium and independence of indicators, and uses DS evidence theory to fuse the comprehensive relationship of indicators. Based on the comprehensive relationship of indicators and the comprehensive evaluation method, evaluation accuracy is defined as the theoretical support of screening indicators, and the algorithm is designed to build the optimization model. Finally, the paper uses the data of 37 domestic airports to make an empirical analysis. The results show that the index comprehensive relationship can reflect the index relationship more accurately and optimize the index ranking, which is better than the index ranking based on principal component analysis and maximum mutual information coefficient, and can eliminate more redundant indexes. The evaluation accuracy identifies the indexes that may be intuitively eliminated, offering a useful basis for choosing indexes and enhancing the index optimization model.

     

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