Risk Propagation Model and Its Simulation of Emergency Logistics Network Based on Material Reliability

Chen, Tinggui; Wu, S. M.; Yang, Jianjun; Cong, Guodong

doi:10.3390/ijerph16234677

Cited by 41 publications

(25 citation statements)

References 27 publications

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“…(1) When constructing the network, only the node exit rule was considered, but the node increase rule accompanied by the hot event propagation at the initial time was not considered [37,38]. In addition, the connections of all individuals were treated as bidirectional ones when the network was constructed, while in reality there are many unidirectional connections of nodes.…”

Section: Discussionmentioning

confidence: 99%

Public Opinion Polarization by Individual Revenue from the Social Preference Theory

Chen

et al. 2020

IJERPH

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Social conflicts occur frequently during the social transition period and the polarization of public opinion happens occasionally. By introducing the social preference theory, the target of this paper is to reveal the micro-interaction mechanism of public opinion polarization. Firstly, we divide the social preferences of Internet users (network nodes) into three categories: egoistic, altruistic, and fair preferences, and adopt the revenue function to define the benefits obtained by individuals with different preferences among their interaction process so as to analyze their decision-making behaviors driven by the revenue. Secondly, the revenue function is used to judge the exit rules of nodes in a network, and then a dynamic network of spreading public opinion with the node (individual) exit mechanism is built based on a BA scale-free network. Subsequently, the influences of different social preferences, as well as individual revenue on the effect of public opinion polarization, are analyzed through simulation experiments. The simulation results show that (1) Different social preferences demonstrate different influences on the evolution of public opinions, (2) Individuals tend to interact with ones with different preferences, (3) The network with a single preference or a high aggregation is more likely to form public opinion polarization. Finally, the practicability and effectiveness of the proposed model are verified by a real case.

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Section: Discussionmentioning

confidence: 99%

Public Opinion Polarization by Individual Revenue from the Social Preference Theory

Chen

et al. 2020

IJERPH

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“…Formula (4) denotes the time spent on transporting supplies at the upper level from the collector-distributor center i to emergency distribution centers and damaged road segments by means of transportation m, which represents the total transit time of the transports with relief supplies to the disaster points. Formula (5) represents the time that the disaster-stricken location k needs for receiving emergency supply c. Formula (6) represents the time required for transporting rescue supplies from the collector-distributor center i to the segment in need of repair.…”

Section: Model Establishmentmentioning

confidence: 99%

“…Actually, the postdisaster emergency supplies scheduling process usually has the following remarkable characteristics [4]: (1) part of road networks may be impassable after disasters; (2) a large demand for relief supplies in disaster areas may lead to the problem of insufficient supplies; (3) in order to reduce the cost and time of supply distribution, a certain number of distribution centers should be built to transport supplies from long distances to the vicinity of the disaster areas; (4) the rescue is urgent, while there exist numerous disaster areas [5]; (5) various means of transportation are required; (6) it is necessary to allocate a certain amount of supplies to repair the damaged road networks and form different transport networks so as to shorten the distribution time. All of the above characteristics increase the complexity of this problem.…”

Section: Introductionmentioning

confidence: 99%

Modeling of Emergency Supply Scheduling Problem Based on Reliability and Its Solution Algorithm under Variable Road Network after Sudden-Onset Disasters

Chen

Yang

et al. 2020

Complexity

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It is common that many roads in disaster areas are damaged and obstructed after sudden-onset disasters. The phenomenon often comes with escalated traffic deterioration that raises the time and cost of emergency supply scheduling. Fortunately, repairing road network will shorten the time of in-transit distribution. In this paper, according to the characteristics of emergency supplies distribution, an emergency supply scheduling model based on multiple warehouses and stricken locations is constructed to deal with the failure of part of road networks in the early postdisaster phase. The detailed process is as follows. When part of the road networks fail, we firstly determine whether to repair the damaged road networks, and then a model of reliable emergency supply scheduling based on bi-level programming is proposed. Subsequently, an improved artificial bee colony algorithm is presented to solve the problem mentioned above. Finally, through a case study, the effectiveness and efficiency of the proposed model and algorithm are verified.

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“…In recent years, group polarization has become a hot issue for scholars in various fields. At present, there are many research studies on the phenomenon of group polarization, mainly focusing on the mechanism of the formation of group polarization and the related dynamic networks …”

Section: Literature Reviewmentioning

confidence: 99%

Modeling and simulation analysis of public opinion polarization in a dynamic network environment

Yuan

Shi

Che

et al. 2020

Concurrency and Computation

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Summary At present, there are many group incidents on the Internet, which has caused a high level of public opinion. Hot issues on the Internet can often trigger intense discussions among netizens and finally evolve toward bipolarization or multipolarization. This article focuses on the phenomenon of public opinion polarization under the dynamic network. First, the single‐dimensional evaluation system for the JA model was expanded to multidimensional and analyzes the main factors that cause the polarization of public opinion of network groups from multiple dimensions of hot events. Second, the strength of the relationship between individuals and its dynamic changes were taken into account in the model. The strength of the relationship between individuals and its changes will affect the interaction of opinions, and thus affect the degree and speed of group polarization. Third, combining the changing process of the strength of relationship, the dynamic connection mechanism of network nodes was set to make the network structure more consistent with the social network in real life. Finally, we verify the reliability and scientificity of the model by combining practical cases.

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Risk Propagation Model and Its Simulation of Emergency Logistics Network Based on Material Reliability

Cited by 41 publications

References 27 publications

Public Opinion Polarization by Individual Revenue from the Social Preference Theory

Public Opinion Polarization by Individual Revenue from the Social Preference Theory

Modeling of Emergency Supply Scheduling Problem Based on Reliability and Its Solution Algorithm under Variable Road Network after Sudden-Onset Disasters

Modeling and simulation analysis of public opinion polarization in a dynamic network environment

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