2019
DOI: 10.1002/prs.12048
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Optimal decision model for emergency resource reserves in chemical industrial parks in China: A risk perception perspective

Abstract: A chemical industrial park (CIP) is a concentrated area of firms that are engaged in the manufacture of a large variety of chemicals. The occurrence of accidents in CIPs in China has significantly increased in recent years, thereby posing tremendous threats to people, property, and ecosystems. This study aims to establish a model for reducing disaster risk by balancing the budget for the emergency reserve strategy and the fluke psychology of managers. The research uses the probabilistic approach and the stocha… Show more

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Cited by 7 publications
(2 citation statements)
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References 38 publications
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“…For example, the emergency reserve strategy strongly depends on risk perception about accidental areas. Some advanced methods (e.g., probabilistic approaches and stochastic programs) that, if applied together, would obtain a clear risk result, thereby considering nonlinearity and randomicity of accidents, can be suggested [63]. Besides, how to ensure the timeliness of emergency actions and human-related challenges with respect to the location selection has also been the topic of previous research [64,65].…”
Section: Emergency Managementmentioning
confidence: 99%
“…For example, the emergency reserve strategy strongly depends on risk perception about accidental areas. Some advanced methods (e.g., probabilistic approaches and stochastic programs) that, if applied together, would obtain a clear risk result, thereby considering nonlinearity and randomicity of accidents, can be suggested [63]. Besides, how to ensure the timeliness of emergency actions and human-related challenges with respect to the location selection has also been the topic of previous research [64,65].…”
Section: Emergency Managementmentioning
confidence: 99%
“…Hu, X. et al developed a disaster risk reduction model balancing emergency reserve strategy budget and manager's fluke psychology based on a scenario-based optimized modular emergency resource stochastic approach to reduce hazards to people, property, and ecosystems by modeling reserve strategies and managing risk perceptions in risk-concentrated regions [17]. Zhou, X proposed an integrated framework for assessing navigational risk and deploying maritime SAR resources by combining multiple criteria decision-making, geospatial technology and game theory, and determining the deployment of SAR resources at all bases based on the Banzhaf value of each base, which in turn optimizes the allocation of the limited maritime SAR resources and reduces the impacts of a maritime disaster [18].…”
Section: Introductionmentioning
confidence: 99%