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.

跨区域分配对于合理利用资源和优化分配是必不可少的。这也是有效和可持续地减灾的关键。但是，现有的研究通常只集中在地区或区域内的紧急资源分配上。本文提出了一种基于区域自救和跨区域协同救援工作的应急资源多期分配优化模型。该模型以最短的交付时间和最低的分配成本为效率目标，以受灾地区的最大资源分配覆盖率作为公平目标。设计了一种基于二维欧氏距离的客观加权模糊算法来求解该模型。以2008年5月12日汶川地震为例，对该模型进行了验证。结果表明，我们提出的模型通过结合区域间和附近的分配原则，实现了最佳的，多周期的跨区域资源分配。跨区域救济使资源分配更加公平，最大程度地减少了不满，并防止了损失。不同的决策偏好似乎会显着影响所采用的资源分配方案的选择，这为不同紧急情况下的决策提供了灵活性。最大限度地减少不满并防止损失。不同的决策偏好似乎会显着影响所采用的资源分配方案的选择，这为不同紧急情况下的决策提供了灵活性。最大限度地减少不满并防止损失。不同的决策偏好似乎会显着影响所采用的资源分配方案的选择，这为不同紧急情况下的决策提供了灵活性。