| 生态港口评价指标体系的构建—基于R聚类、变异系数与专家经验的分析 |
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| 引用本文： | 赵宇哲,刘芳.生态港口评价指标体系的构建—基于R聚类、变异系数与专家经验的分析[J].科研管理,2015,36(2):124-132. |
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| 作者姓名： | 赵宇哲 刘芳 |
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| 作者单位： | 大连海事大学交通运输管理学院, 辽宁 大连 116026 |
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| 基金项目： | 长江学者和创新团队发展计划项目(IRT13048,2014.01-2016.12);国家自然科学基金资助项目(71273037,2013.01-2016.12;71403035,2015.01-2017.12);辽宁省高校创新团队支持计划资助项目(LT2013011,2014.01-2016.12);交通运输部交通软科学项目(2013-322-225-240,2013.01-2014.12);中央高校基本科研业务费专项资金资助项目(3132013080,2013.01-2014.12) |
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| 摘 要： | 从"生态文明"与"绿色经济"的角度,海选与生态港口相关的评价指标,在细化分析生态港口压力因素、承压因素和状态因素的基础上,构建了包含准则层、因素层和指标层的生态港口评价指标体系;遵循目的性、可行性和可观测性原则,利用R聚类-变异系数分析,定性与定量相结合地筛选了评价指标,并融入了专家的主观分析,完善了生态港口评价指标体系。结果表明,筛选出的21.30%的指标可反映93.91%的原始信息,证明了生态港口评价指标体系的合理性。
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| 关 键 词： | 生态港口 评价指标体系 R聚类 变异系数 专家经验 |
| 收稿时间： | 2013-05-14 |
The ecological port evaluation indicator system based on r-cluster,coefficient of variation and expert experience |
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| Zhao Yuzhe,Liu Fang.The ecological port evaluation indicator system based on r-cluster,coefficient of variation and expert experience[J].Science Research Management,2015,36(2):124-132. |
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| Authors: | Zhao Yuzhe Liu Fang |
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| Institution: | College of Transportation Management, Dalian Maritime University, Dalian 116026, Liaoning, China |
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| Abstract: | From the perspective of ecological civilization and green economy, this paper has extensively selected the evaluation indicators related to ecological port. Based on a refined analysis of the pressure-state-impacts factors on ecological port, the ecological port evaluation indicator system which contains a hierarchy structure with criteria, factors and indexes is established. Following the principles of purposiveness, feasibility and observability and using the methods of r-cluster and coefficient of variation, the ecological port evaluation indicators are screened with the combination of qualitative and quantitative analysis. Then, the ecological port evaluation indicator system is improved by the application of experts' subjective analysis. The results reveal that final ecological port evaluation indicator system has been proven that it can use 21.30% of initial indicators to reflect 93.91% of original information. |
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| Keywords: | ecological port evaluation indicator system r-cluster coefficient of variation expert experience |
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