Modeling and Simulation of Collaborative Dispatching of Disaster Relief Materials Based on Urgency

Guan, Gaofeng; Lin, Zi-Jun; Gong, Yu; Jiang, Zhijuan

doi:10.1155/2020/4274106

Cited by 8 publications

(5 citation statements)

References 34 publications

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“…The emergency indicator [6] indicates the urgency of the requirement for materials at the task, which varies with time and the delivery of materials. When the upper threshold is reached, it will cause secondary damage to the disaster area due to the lack of replenishment of materials for a long time [41].…”

Section: Definition 5 Emergency Indicator E(t) At T Moments the Emerg...mentioning

confidence: 99%

“…Song et al [5] proposed an emergency material scheduling model with multiple disaster points and multiple rescue points, but the model is mainly aimed at the emergency material scheduling of disaster points with the same emergency indicator of material demand. Based on the weight-TOPSIS method, Guan et al [6] determined the emergency indicator of the tasks in the disaster area, considered the penalty cost of unmet needs in the disaster area, and they established a collaborative disaster relief material scheduling model, but did not consider the change of the emergency indicator of the tasks. At the same time, due to the aftershocks after the earthquake and the crash of the UAVs, some other situations have brought great dynamics to the post-disaster rescue.…”

Section: Introductionmentioning

confidence: 99%

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An Improved Intelligent Auction Mechanism for Emergency Material Delivery

Zhang

Zhu²,

Wang³

et al. 2022

Mathematics

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Emergency material delivery is vital to disaster emergency rescue. Herein, the framework of the emergency material delivery system (EMDS) with the unmanned aerial vehicle (UAV) as the vehicle is proposed, and the problem is modeled into a multi-trip time-dependent dynamic vehicle routing problem with split-delivery (MTTDDVRP-SD) in combination with the rescue reality, which provides decision support for planning disaster relief material. Due to the universality of dynamic interference in the process of material delivery, an optimization algorithm based on the traditional intelligent auction mechanism is proposed to avoid system performance degradation or even collapse. The algorithm adds pre-authorization and sequential auction mechanisms to the traditional auction mechanism, where the pre-authorization mechanism improves the capability performance of the system when there is no interference during the rescue process and the sequential auction mechanism improves the resilience performance of the system when it faces interferences. Finally, considering three types of interference comprehensively, which includes new task generations, task unexpected changes and UAV’s number decreases, the proposed algorithm is compared with DTAP (DTA based on sequential single item auctions) and CBBA-PR (consensus-based bundle algorithms-partial replanning) algorithms under different dynamic interference intensity scenarios for simulation experimental from two perspectives of the capability performance and resilience performance. The results of Friedman’s test with 99% confidence interval indicate that the proposed algorithm can effectively improve the capability performance and resilience performance of EMDS.

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Section: Definition 5 Emergency Indicator E(t) At T Moments the Emerg...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Improved Intelligent Auction Mechanism for Emergency Material Delivery

Zhang

Zhu²,

Wang³

et al. 2022

Mathematics

View full text Add to dashboard Cite

show abstract

“…∑ ∈ (10) In the equation, 𝐸 𝐺 represents the efficiency of the network (G), and 0 𝐸 𝑔 1; 𝑁 is the number of nodes in the network (G); 𝑑 represents the shortest path between the node 𝑖 and 𝑗 of the networks.…”

Section: 𝐸 𝐺mentioning

confidence: 99%

“…However, logistics enterprises need to consider Hybrid hub-and-spoke express logistics network comprehensively when they continue to emphasize cost and network flexibility. Guan et al [10] built a hub-and-spoke rescue network after disasters, Ji et al [11] built a multi-modal hub-and-spoke network of urban logistics for passengers and parcels. Third, the optimization of the regional logistics network [12,13] .…”

Section: Introductionmentioning

confidence: 99%

Structure and toughness optimization of multi-layer weighted regional logistics network: taking the central region of China as an example

Liu²,

Wang³

et al. 2022

International Conference on Smart Transportation and City Engineering (STCE 2022)

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The operation of the regional logistics network is often interrupted by emergencies such as rainstorms and earthquakes, especially the COVID-19 pandemic in recent years. Therefore, it is particularly important to improve the toughness of the regional logistics network to resist the risk of emergencies. This paper firstly constructed a multi-layered weighted regional logistics network of highways and railways in the central region of China based on the gravity model, analyzed its network structure characteristics by using dominant flow and social network analysis methods, then simulated the evolution trend of network toughness under different strategies. Finally, the optimization model of logistics network structural toughness under fixed cost was proposed to explore the optimization path of network structural toughness. The results show that: (1) The economically developed cities are located in the core area of the regional logistics network, on the contrary, they are located in the edge area of the regional logistics network. (2) The network as a whole has formed a “two main and four auxiliary” distribution pattern with Zhengzhou and Wuhan as the two main cores in the north and south, and Taiyuan, Hefei, Changsha, and Nanchang as the four auxiliary cores. (3) The network has higher toughness under the node random order failure strategy than under the node specified order failure strategy, and the optimization plans improve the structural toughness of the regional logistics network by 11.68%.

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“…introduced seismic resilience to judge the seismic capacity of disaster-affected areas and further determined their locations and scales. Many researchers have simulated the design of several earthquake-affected areas, and taken actual earthquakes as site selection models to validate the case studies (Geng et al, 2021;Guan et al, 2020;Jana et al, 2021).…”

mentioning

confidence: 99%

Method for site selection of relief supply warehouses in earthquakes with Ms ≥ 7—a case study of western Yunnan, China

Xing

Fan

et al. 2023

Nat Hazards

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Relief supply warehouses provide necessities of life for victims in disaster relief. The science behind site selection for large relief supply warehouses determines whether victims in earthquakes with Ms ≥ 7 can receive timely and effective relief. This study proposed a method of site selection for relief supply warehouses based on the prediction of earthquake disasters and the quanti cation of site selection criteria. This method considered four factors, i.e., the prediction of earthquake-prone areas, the identi cation of building distribution, the mode of post-earthquake transport of relief supplies, and the construction standards of relief supply warehouses. Taking western Yunnan Province for a case study, this study rst identi ed seven disaster-affected areas, then determined the helicopter's most extensive safe ight range in post-earthquake transport of relief supplies. Next, it quanti ed and classi ed the site selection criteria of relief supply warehouses in China and selected the top ten candidate sites meeting the necessary conditions. Finally, it obtained the ideal site using reference conditions. IntroductionWhen earthquakes with Ms ≥ 7 occur in anthropic zones, they damage infrastructure (such as buildings, structures, equipment, facilities, and transport) to varying degrees, signi cantly impacting normal production and life. In the face of an earthquake with Ms ≥ 7 and the secondary disasters induced by it, e cient and rapid emergency rescue can effectively reduce casualties and losses (Baghaian et al., 2022). An adequate reserve of necessities of life constitutes an essential material basis for emergency rescue and a necessary condition of earthquake emergency relief. The reasonableness of reserve siting and capacity directly determine the effect of earthquake emergency relief (Benini et al., 2009). Earthquakes with Ms ≥ 7 are infrequent, but they constitute natural disasters that pose serious threats to human beings, mainly due to their strong destructive power and poor predictability. In dealing with Ms ≥ 7earthquakes, the site selection of relief supply warehouses can be challenging, as site selection, in this case, is subject to many factors, including the prediction of earthquake-prone areas, the identi cation of areas with casualties, the failure of adjacent relief supply warehouses, and the timeliness of the arrival of relief supplies.

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Modeling and Simulation of Collaborative Dispatching of Disaster Relief Materials Based on Urgency

Cited by 8 publications

References 34 publications

An Improved Intelligent Auction Mechanism for Emergency Material Delivery

An Improved Intelligent Auction Mechanism for Emergency Material Delivery

Structure and toughness optimization of multi-layer weighted regional logistics network: taking the central region of China as an example

Method for site selection of relief supply warehouses in earthquakes with Ms ≥ 7—a case study of western Yunnan, China

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