Multiobjective Emergency Resource Allocation under the Natural Disaster Chain with Path Planning

Wang, Fei‐Yue; Xie, Ziling; Liu, Hui; Pei, Zhongwei; Liu, Dingli

doi:10.3390/ijerph19137876

Cited by 5 publications

(3 citation statements)

References 52 publications

(50 reference statements)

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“…This evaluation index system combines the characteristics of ERA and intelligent technology for public health emergencies. We integrate relevant research results to construct the system from four aspects: medical intelligence [42,43], management intelligence [35,44], decision-making intelligence [17,45,46], and supervision intelligence [47,48]. The content and description of evaluation indicators are shown in Table 2.…”

Section: Indicator System Constructionmentioning

confidence: 99%

Research on Intelligent Emergency Resource Allocation Mechanism for Public Health Emergencies: A Case Study on the Prevention and Control of COVID-19 in China

Meng

2023

Systems

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The outbreak of COVID-19 posed a significant challenge to the emergency management system for public health emergencies, especially in China, where the epidemic began. As intelligent technology has injected new vitality into emergency management, applying intelligent technology to optimize emergency resource allocation (ERA) has become a focus of research in the post-epidemic era. Based on China’s experience in preventing and controlling COVID-19, this paper first analyzes the characteristics and process of ERA in public health emergencies, and then synthesizes the relevant Chinese studies in recent years to identify the intelligent technologies affecting ERA in China using word frequency analysis technology. We also construct an intelligent emergency resource allocation mechanism in four areas: medical intelligence, management intelligence, decision-making intelligence, and supervision intelligence. Finally, we use the entropy-TOPSIS method to evaluate the impact of intelligent technologies on ERA, and we rank the criticality of intelligent technologies. The experimental results show that (i.) medical intelligence and management intelligence are the keys to developing intelligent ERA, and (ii.) among the identified essential intelligent technologies, artificial intelligence (AI), and big data technology have a more significant and critical role in emergency resource intelligence allocation.

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Section: Indicator System Constructionmentioning

confidence: 99%

Research on Intelligent Emergency Resource Allocation Mechanism for Public Health Emergencies: A Case Study on the Prevention and Control of COVID-19 in China

Meng

2023

Systems

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“…They analyzed emergency management systems in the US and future trends in FEMA, arguing that collaboration between government departments is a necessary foundation for responding to natural emergencies. Wang et al [24] have discussed the impact of government supervision on allocating emergency resources based on different disaster chain scenarios, arguing that government and business collaboration can mitigate disasters. Pradana et al [25] used the regulatory actions of the Indonesian government during the COVID-19 pandemic as an example to argue that local government, in conjunction with community organizations, plays a vital role in ensuring the stability of residents' lives.…”

Section: Government Emergency Supervisionmentioning

confidence: 99%

Research on Emergency Supply Chain Collaboration Based on Tripartite Evolutionary Game

Wang

et al. 2022

Sustainability

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To explore the optimal mechanism of emergency supply chain collaboration when an epidemic crisis occurs, we construct a tripartite evolutionary game model of emergency collaboration among the government, the retailer, and the supplier to explore the interaction of primary strategies and the impact of critical parameters on the evolution and stability of the system. We conduct simulation analysis based on the actual situation of China’s emergency supply chain development. The research results show that in the recognition period of the crisis, the government participates in emergency supervision and the retailer participates in emergency collaboration, but the supplier does not participate in emergency collaboration. However, in the containment period of the crisis, the government increases penalties, provides appropriate emergency subsidies, and improves the efficiency of emergency supervision, which are conducive to promoting the supplier’s participation in emergency collaboration. In the recovery period of the crisis, as the benefits of both the retailer and the supplier participation in emergency collaboration increase, the government will withdraw from emergency supervision gradually. Moreover, the weaker the risk of supply chain enterprises participating in emergency collaboration, the more reasonable the distribution of the collaboration benefits, and the more conducive to the spontaneous emergency collaboration of the retailer and the supplier.

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“…Furthermore, real-time procurement after a disaster can be costly and risky from a logistical and social perspective [ 44 ]. Municipalities and local regions can develop the capacity to respond to crises and catastrophes through the public-private partnership [ 45 , 46 , 47 ].…”

Section: Problem Descriptionmentioning

confidence: 99%

Emergency Relief Chain for Natural Disaster Response Based on Government-Enterprise Coordination

Wang

Xie

Pei

et al. 2022

IJERPH

Self Cite

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Public health and effective risk response cannot be promoted without a coordinated emergency process during a natural disaster. One primary problem with the emergency relief chain is the homogeneous layout of rescue organizations and reserves. There is a need for government-enterprise coordination to enhance the systemic resilience and demand orientation. Therefore, a bi-level multi-phase emergency plan model involving procurement, prepositioning and allocation is proposed. The tradeoff of efficiency, economy and fairness is offered through the multi-objective cellular genetic algorithm (MOCGA). The flood emergency in Hunan Province, China is used as a case study. The impact of multi-objective and coordination mechanisms on the relief chain is discussed. The results show that there is a significant boundary condition for the coordinated location strategy of emergency facilities and that further government coordination over the transition phase can generate optimal relief benefits. Demand orientation is addressed by the proposed model and MOCGA, with the realization of the process coordination in multiple reserves, optimal layout, and transition allocation. The emergency relief chain based on government-enterprise coordination that adapts to the evolution of disasters can provide positive actions for integrated precaution and health security.

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Multiobjective Emergency Resource Allocation under the Natural Disaster Chain with Path Planning

Cited by 5 publications

References 52 publications

Research on Intelligent Emergency Resource Allocation Mechanism for Public Health Emergencies: A Case Study on the Prevention and Control of COVID-19 in China

Research on Intelligent Emergency Resource Allocation Mechanism for Public Health Emergencies: A Case Study on the Prevention and Control of COVID-19 in China

Research on Emergency Supply Chain Collaboration Based on Tripartite Evolutionary Game

Emergency Relief Chain for Natural Disaster Response Based on Government-Enterprise Coordination

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