Research on the Structure of Emergency Logistics Cooperation Network for Sudden Earthquake Disasters——Taking Sichuan 9·5 Luding Earthquake as an Example
The operational efficiency of emergency logistics of cooperation network has a direct impact on the effectiveness of emergency relief efforts. The immediate problem is how to coordinate and mobilize resources quickly in highly stressful and complex emergencies. Therefore, based on the social network analysis method, this paper selects the 9·5 Luding earthquake disaster in Sichuan province to quantitatively evaluate the characteristic of emergency logistics coordination network from three dimensions: overall network structure, node function and node location. The results show that: (1) the overall network density is small under sudden earthquake disaster, and this imply that the overall connection is not close; (2) the important tasks include the Comprehensive Coordination Group, The Rescue and Relief Group, and The Rescue Materials Group. And the work content of the Rescue and Relief Group and the Rescue Materials Group is highly integrated, and there is redundancy; (3) the cooperative network has a core-edge structure. Sichuan Emergency Department is located in the core of the network and the bridge position, responsible for coordinating the scheduling of various emergency resources in the province. This study provides a basis for emergency logistics collaborative networks and provides new ideas for improving the collaborative efficiency of emergency logistics network.
Authors
- Hongmei Shan (ORCID: https://orcid.org/0000-0001-6429-9214)
- Xiaoyan Wang (ORCID: https://orcid.org/0000-0002-9335-5884)
- Yue Gao (ORCID: https://orcid.org/0009-0007-1478-7464)
- Mengzhen Cheng
Institutions
- Xi’an University of Posts and Telecommunications (CN)
Publication Details
- Published
- 2024-08-23
- DOI
- https://doi.org/10.1109/ictle62418.2024.10703948
- Primary Topic
- Medical Research and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Social Science Fund of China