Abstract

Effective support of emergency materials is a necessary prerequisite for post-disaster emergency rescue. The transportation and distribution of post-disaster emergency materials includes two stages: from storage warehouses and material distribution centers outside the disaster area to emergency distribution centers outside the disaster area, and from emergency distribution centers to rescue points in the disaster area. Emergency material support has the characteristics of urgent demand and relative shortage of materials. Especially, the transportation of materials from supply points outside the disaster-stricken areas to emergency material distribution centers, along the way, affected by the actual traffic capacity and meteorological conditions, will have a significant impact on the efficient distribution of emergency materials. This paper deals with the optimization of transportation allocation from emergency material supply points to emergency material distribution centers in the periphery of disaster areas. Based on the factors affecting transportation efficiency such as road resistance parameters, attenuation coefficient, and disaster intensity, an optimal allocation model of emergency materials is established, which minimizes the sum of transportation cost, construction cost of distribution center, and penalty cost of transportation time. The validity and feasibility of the model are analyzed and studied by an example. The experimental results show that the attenuation coefficient of the transportation line and the disaster intensity of the road section have important influence on the emergency material allocation scheme. The emergency material allocation scheme formulated by the optimization model is scientific and reasonable.

Highlights

  • Natural disasters pose a serious threat to the people's life and property security

  • This paper studies the location problem of emergency material distribution center under the influence of actual transportation conditions and meteorological factors

  • This paper mainly studies the location optimization of emergency material distribution center under the influence of meteorological factors, focusing on the section transportation from supply point to distribution center

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Summary

Introduction

Natural disasters pose a serious threat to the people's life and property security. The key to effectively alleviate the disaster situation and reduce the economic losses in the disaster area is to deliver the emergency materials to the victims quickly and reasonably. In reference [5], a multi-objective programming model for the location of emergency material distribution center and the optimization of transportation distribution route was established, which aimed at the timeliness of emergency material support and the fairness of distribution. Reference [6] comprehensively considered the randomness of the travel time of emergency vehicles caused by the location of the request point and the terrain, the uncertainty of the demand for emergency materials and the urgency of the time of distribution of emergency materials, In the paper, a multi-objective fuzzy path optimization model based on opportunity constrained programming was established, aiming at the shortest total time spent on emergency materials and the minimum total distribution cost. In the process of transporting emergency materials to alternative distribution centers in disaster areas, the traffic flow information and real-time weather factors of transportation routes have a very important impact on the effective distribution of emergency materials. The minimized cost objective function takes into account the traffic flow of transport lines, the attenuation coefficient affected by disaster weather, and the impact of disaster intensity factor on transportation cost and the time penalty cost of transportation delay due to meteorological factors

Problem Description
Basic Assumption
Model Construction
Example and Parameter Setting
Parameter Sensitivity Test
Sensitivity Test of Ratio Γki
Attenuation Coefficient θ
Conclusion
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