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

Guoqing Wu () and Yanbin Wang
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Guoqing Wu: Liaoning Technical University, School of Business and Management
Yanbin Wang: Liaoning Technical University, School of Business and Management

A chapter in Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024), 2024, pp 92-100 from Springer

Abstract: 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.

Keywords: Liaoning Province; Emergency Logistics; Geological Disasters; TOPSIS; Grey Relational Analysis; Entropy Weight Method (search for similar items in EconPapers)
Date: 2024
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DOI: 10.2991/978-94-6463-570-6_10

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