Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024)

Evaluation of Logistics Emergency Response Capacity under Geological Disasters Based on Entropy Weight TOPSIS Gray Correlation Method-Taking Liaoning Province as an Example

Authors
Guoqing Wu1, *, Yanbin Wang1
1School of Business and Management, Liaoning Technical University, Huludao, Liaoning, 125100, China
*Corresponding author. Email: 15936729283@163.com
Corresponding Author
Guoqing Wu
Available Online 22 November 2024.
DOI
10.2991/978-94-6463-570-6_10How to use a DOI?
Keywords
Liaoning Province; Emergency Logistics; Geological Disasters; TOPSIS; Grey Relational Analysis; Entropy Weight Method
Abstract

In recent years, the frequency and intensity of geological disasters in China have increased, causing significant losses to the safety of people’s lives and economic property. A scientific evaluation of logistics emergency response capability is a necessary measure in dealing with geological natural disasters, effectively safeguarding the safety of people’s lives and property and reducing the social burden. This paper focuses on geological disasters and takes Liaoning Province as the research subject, establishing an index system from five aspects: logistics infrastructure, transportation capacity, information systems, material storage, human resources, and emergency logistics potential. It employs a multi-criteria decision analysis method that combines the entropy weight method, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and grey relational analysis to conduct a comprehensive evaluation of emergency logistics in Liaoning Province. Based on the grey relational grade of calculated indicators, 18 indicators were ranked, revealing that the mobile phone penetration rate and the length of highways have a significant impact on emergency logistics, both exceeding 0.9. Indicators with a grey relational grade above 0.8 were selected for further analysis. Through TOPSIS, the closeness degree of emergency logistics in Liaoning Province from 2011 to 2020 was calculated, showing an overall upward trend over the past decade. The evaluation results demonstrate that the entropy-weighted TOPSIS-grey relational method can be an effective approach for evaluating emergency logistics capabilities.

Copyright
© 2024 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 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
22 November 2024
ISBN
978-94-6463-570-6
ISSN
2352-5428
DOI
10.2991/978-94-6463-570-6_10How to use a DOI?
Copyright
© 2024 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

TY  - CONF
AU  - Guoqing Wu
AU  - Yanbin Wang
PY  - 2024
DA  - 2024/11/22
TI  - Evaluation of Logistics Emergency Response Capacity under Geological Disasters Based on Entropy Weight TOPSIS Gray Correlation Method-Taking Liaoning Province as an Example
BT  - Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024)
PB  - Atlantis Press
SP  - 92
EP  - 100
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-570-6_10
DO  - 10.2991/978-94-6463-570-6_10
ID  - Wu2024
ER  -