Knowledge model for emergency response based on contingency planning system of China

Ni, Zhaohui; Rong, Lili; Wang, Ning; Cao, Shuo

doi:10.1016/j.ijinfomgt.2018.10.021

Cited by 20 publications

(6 citation statements)

References 37 publications

(37 reference statements)

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“…With sufficient theoretical basis (former models or knowledge), the simulation decision models are constructible. 13,14 However, for complex, dynamic, and uncertain unconventional public health emergencies, no sufficient prior knowledge is available to support the traditional simulation modeling process. Therefore, new evolutionary and dynamical simulation decision-making methods should emerge as necessary.…”

Section: Simulation Of Decision-making Methods For Emergency Responsementioning

confidence: 99%

Parallel Simulation Decision-Making Method for a Response to Unconventional Public Health Emergencies Based on the Scenario–Response Paradigm and Discrete Event System Theory

Xie

Zhao-yun

et al. 2019

Disaster med. public health prep.

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Given the non-repeatability, complexity, and unpredictability of unconventional public health emergencies, building accurate models and making effective response decisions based only on traditional prediction–response decision-making methods are difficult. To solve this problem, under the scenario–response paradigm and theories on parallel emergency management and discrete event system (DES), the parallel simulation decision-making framework (PSDF), which includes the methods of abstract modeling, simulation operation, decision-making optimization, and parallel control, is proposed for unconventional public health emergency response processes. Furthermore, with the example of the severe acute respiratory syndrome (SARS) response process, the evolutionary scenarios that include infected patients and diagnostic processes are transformed into simulation processes. Then, the validity and operability of the DES–PSDF method proposed in this paper are verified by the results of a simulation experiment. The results demonstrated that, in the case of insufficient prior knowledge, effective parallel simulation models can be constructed and improved dynamically by multi-stage parallel controlling. Public health system bottlenecks and relevant effective response solutions can also be obtained by iterative simulation and optimizing decisions. To meet the urgent requirements of emergency response, the DES–PSDF method introduces a new response decision-making concept for unconventional public health emergencies.

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Section: Simulation Of Decision-making Methods For Emergency Responsementioning

confidence: 99%

Parallel Simulation Decision-Making Method for a Response to Unconventional Public Health Emergencies Based on the Scenario–Response Paradigm and Discrete Event System Theory

Xie

Zhao-yun

et al. 2019

Disaster med. public health prep.

View full text Add to dashboard Cite

show abstract

“…Cities have also compiled municipal emergency plans based on national emergency plans and provincial emergency plans. However, these paper-based plans are limited in that emergency responders cannot easily extract helpful information from them (Ni et al, 2019). Furthermore, these marine disaster emergency plans are generally incomplete because they do not contain an emergency plan for sea fog, coastal erosion, saltwater intrusion, and sea level rise.…”

Section: Contingency Planmentioning

confidence: 99%

Risk characteristics of China’s marine disasters and trends since 2000

Wang

Ding²,

Geng³

et al. 2023

Front. Mar. Sci.

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Understanding the risk characteristics of marine disasters is of great importance for disaster prevention and mitigation. In this study, we considered four types of marine disasters typical in China, including storm surges, rough seas, harmful algal blooms, and oil spills to identify risk characteristics. Disaster risk was analyzed based on the theory that the marine disaster risk consists of hazard, exposure, and vulnerability. These three factors have been analyzed based on statistical data from a collection of historical documents and official records. The following characteristics were identified. First, the occurrence frequency of storm surges and rough waves has remained stable over the past few decades, but the occurrence frequency of red tides and oil spills has shown a downward trend. Second, storm surges were found to be the main cause of economic losses, while rough seas were the main cause of death. Economic losses and fatalities have shown a downward trend against the backdrop of a growing economy and population. Third, there are clear regional differences in the spatial distribution of all disasters, so it is necessary to formulate disaster prevention and mitigation plans according to the spatial differentiation of risks. Based on the various disaster prevention and mitigation measures taken by the government, this study makes some recommendations for future actions that the government should take from the perspective of risk composition. The risk analysis paradigm for marine disasters provided in this study is expected to be used for future marine disaster prevention and mitigation.

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“…e model can describe the time, location, object, and relationship between event types. Ni et al [16] constructed an emergency knowledge model based on the emergency response plan system in China. e model is divided into three levels: top-level, domain, and application ontologies.…”

Section: Related Workmentioning

confidence: 99%

“…To handle various emergencies effectively and reduce the impact of an emergency, it is necessary to perform good ontology modeling, ontology representation, and ontology reasoning for emergencies. Traditional emergency ontology models [13][14][15][16][17][18][19][20] are based on the static emergency concept, which cannot fully describe the semantic relationship between emergencies and network public opinion spread elements. ese emergency ontology models have significant shortcomings in knowledge fusion, knowledge reasoning, and knowledge questions and answers.…”

Section: Introductionmentioning

confidence: 99%

EOM-NPOSESs: Emergency Ontology Model Based on Network Public Opinion Spread Elements

Dong

Zhang

Tan

et al. 2021

Security and Communication Networks

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The construction of an emergency ontology model plays an important role in emergency management, which is an important basis for emergency public opinion management and decision-making. Integration of network public opinion spread elements into the emergency ontology model is crucial for realizing knowledge sharing in the field of emergency and public opinion responses. In this study, we crawl a large amount of emergency data from different data sources and construct an emergency dataset. Based on this dataset, we analyze the public opinion elements of emergencies and propose an emergency ontology model based on network public opinion spread elements (EOM-NPOSESs). Thereafter, we consider the coronavirus disease (COVID-19) emergency as an example to construct the EOM-NPOSESs. Finally, we design some strategies to realize rule reasoning and present the COVID-19 emergency application based on the constructed EOM-NPOSESs and the geographic information system platform. The results demonstrate that EOM-NPOSESs can not only describe the semantic relationship between emergencies and emergency elements but also perform semantic logical reasoning on different emergencies.

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Knowledge model for emergency response based on contingency planning system of China

Cited by 20 publications

References 37 publications

Parallel Simulation Decision-Making Method for a Response to Unconventional Public Health Emergencies Based on the Scenario–Response Paradigm and Discrete Event System Theory

Parallel Simulation Decision-Making Method for a Response to Unconventional Public Health Emergencies Based on the Scenario–Response Paradigm and Discrete Event System Theory

Risk characteristics of China’s marine disasters and trends since 2000

EOM-NPOSESs: Emergency Ontology Model Based on Network Public Opinion Spread Elements

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