Journal
INTERNATIONAL JOURNAL OF DISASTER RISK SCIENCE
Volume 12, Issue 3, Pages 394-409Publisher
SPRINGER
DOI: 10.1007/s13753-021-00347-5
Keywords
Cross-regional collaborative rescue; Efficiency and equity; Emergency resource allocation; Multiperiod allocation; Wenchuan Earthquake
Funding
- Postdoctoral Science Foundation of China [2020M670363, 2020T130340]
- National Natural Science Foundation of China [71790611, 71774042]
- Humanities and Social Sciences of the Ministry of Education of China [20YJC630243]
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Cross-regional allocation is necessary for rational resource utilization and effective disaster relief. An optimization model is proposed for emergency resources, focusing on efficiency and equity goals. Cross-regional relief can minimize dissatisfaction and prevent losses, providing flexibility for decision making in emergencies.
Cross-regional allocation is necessary for the rational utilization and optimal allocation of resources. It is also the key to effective and sustainable disaster relief. Existing research, however, generally centers on emergency resource allocation only within territories or regions. This article proposes a multiperiod allocation optimization model for emergency resources based on regional self-rescue and cross-regional collaborative rescue efforts. The model targets the shortest delivery time and lowest allocation costs as its efficiency goals and the maximum coverage rate of resource allocation in the disaster-affected locations as its equity goal. An objective weighting fuzzy algorithm based on two-dimensional Euclidean distance is designed to solve the proposed model. A case study based on the Wenchuan Earthquake of 12 May 2008 was conducted to validate the proposed model. The results indicate that our proposed model allows for optimal, multiperiod cross-regional resource allocation by combining interterritorial and nearby allocation principles. Cross-regional relief makes resource allocation more equitable, minimizes dissatisfaction, and prevents losses. Different decision preferences appear to significantly affect the choice of resource allocation scheme employed, which provides flexibility for decision making in different emergencies.
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