Proceedings of the 2025 6th International Conference on Management Science and Engineering Management (ICMSEM 2025)

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Optimization and Weighting Analysis of Risk Indicators for Relocated Airports

Authors
Longhai Li1, *, Suyu Mu1
1School of Transportation Science and Engineering, Civil Aviation University of China, Tianjin, China
*Corresponding author. Email: 5994270@qq.com
Corresponding Author
Longhai Li
Available Online 16 September 2025.
DOI
10.2991/978-94-6463-845-5_112How to use a DOI?
Keywords
Airport relocation; Operational safety; Weighting analysis; G1-EWM combination assignment
Abstract

Airport relocation presents heightened operational safety risks due to environmental changes, system transitions, and managerial complexity. To improve the reliability of risk indicator weighting in such settings, this study proposes a novel fusion model integrating the G1 method, entropy weight method (EWM), and relative entropy optimization. The model first derives subjective weights via expert ranking using G1 and calculates objective weights based on data dispersion through EWM. These weights are then dynamically fused by minimizing their divergence using relative entropy, enabling a data-informed yet expert-sensitive weighting scheme. Unlike conventional hybrid methods with fixed ratios, this approach adjusts adaptively to input consistency. Empirical analysis involving 27 indicators across different airport relocation stages demonstrates that the model aligns well with expert assessments, effectively capturing layered safety risks. The method shows strong potential for supporting operational risk identification, resource allocation, and decision-making in complex airport relocation scenarios.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 6th International Conference on Management Science and Engineering Management (ICMSEM 2025)
Series
Atlantis Highlights in Economics, Business and Management
Publication Date
16 September 2025
ISBN
978-94-6463-845-5
ISSN
2667-1271
DOI
10.2991/978-94-6463-845-5_112How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Longhai Li
AU  - Suyu Mu
PY  - 2025
DA  - 2025/09/16
TI  - Optimization and Weighting Analysis of Risk Indicators for Relocated Airports
BT  - Proceedings of the 2025 6th International Conference on Management Science and Engineering Management (ICMSEM 2025)
PB  - Atlantis Press
SP  - 1146
EP  - 1156
SN  - 2667-1271
UR  - https://doi.org/10.2991/978-94-6463-845-5_112
DO  - 10.2991/978-94-6463-845-5_112
ID  - Li2025
ER  -