| 基于熵值法的船舶污染事故区域应急联防成本分担机制研究 |
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| 引用本文： | 刘桂云12 陈家炫1 朱家毅1. 基于熵值法的船舶污染事故区域应急联防成本分担机制研究[J]. 宁波大学学报(理工版), 2021, 0(6): 99-104 |
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| 作者姓名： | 刘桂云12 陈家炫1 朱家毅1 |
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| 作者单位： | 1.宁波大学 海运学院, 浙江 宁波 315832; 2.浙江2011港口经济协同创新中心, 浙江 宁波 315832 |
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| 摘 要： | 在一定的区域范围内建立污染事故应急联防体系, 对于共享区域应急资源、提高船舶污染事故应急能力具有非常重要的意义. 本文在分析船舶污染事故区域联防体系建设及运营成本构成的基础上, 从污染物种类、污染量、泊位参数、船舶艘次、货物吞吐量、管理因素等方面分析了影响联防体系成本分担责任的影响因素, 并基于熵值分析方法建立了联防体系成本分担模型. 研究的目的旨在促进建立合理有效的区域联防成本分担机制, 以保障联防体系的有效运行和可持续发展.
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| 关 键 词： | 船舶污染 应急联防 成本分担 熵值法 |
Research on the cost-sharing mechanism of regional emergency joint prevention of ship pollution accident based on entropy method |
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| LIU Guiyun1,' target="_blank" rel="external">2,CHEN Jiaxuan1,ZHU Jiayi1. Research on the cost-sharing mechanism of regional emergency joint prevention of ship pollution accident based on entropy method[J]. Journal of Ningbo University(Natural Science and Engineering Edition), 2021, 0(6): 99-104 |
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| Authors: | LIU Guiyun1,' target=" _blank" rel=" external" >2,CHEN Jiaxuan1,ZHU Jiayi1 |
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| Affiliation: | 1.Faculty of Maritime and Transportation, Ningbo University, Ningbo 315832, China; 2.Zhejiang 2011 Port Economy Collaborative Innovation Center, Ningbo 315832, China |
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| Abstract: | Establishing a pollution accident emergency joint prevention system within a certain area is of great significance for sharing regional emergency resources and improving ship pollution accident emergency response capabilities. Based on the analysis of the cost composition of the construction and operation of the regional joint prevention system for ship pollution accidents, this paper analyzes the influencing factors that affect the cost-sharing of the joint prevention system in terms of pollutant type, pollution volume, berth parameters, ship number, cargo throughput and management factors, etc. Based on the entropy analysis method, the cost sharing model of the joint prevention system is established. The purpose of the research is to promote the establishment of a reasonable and effective cost sharing mechanism to ensure the effective operation and sustainable development of the joint prevention system. |
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| Keywords: | ship pollution emergency joint prevention cost sharing entropy method |
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