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姚帅寓

  • 教师英文名称: Alvin Yao
  • 教师拼音名称: Yao Shuaiyu
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  • 学历: 博士研究生毕业
  • 主要任职: 助理研究员
  • 毕业院校: 曼彻斯特大学
  • 学科:系统工程
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A multi-criteria decision model based on the evidential reasoning approach for the selection of fulcrum ports supporting Arctic shipping through the Northeast Passage

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影响因子:3.5

DOI码:10.1080/03088839.2020.1859149

发表刊物:Maritime Policy & Management

关键字:Arctic shipping; Fulcrum ports selection; Expert judgments; Evidential reasoning approach; Multicriteria decision model

摘要:As a result of the opening Arctic waters, Arctic Northeast Passage (NEP) can be used as a shortcut between Asian and European ports, which may bring considerable economic benefits. Due to the harsh environment and substantial costs, it is difficult to construct many fulcrum ports along the Russian Arctic coast, which provide support services for ships navigating the NEP. A multi-criteria decision model is hence constructed to select fulcrum ports among candidates to support Arctic shipping through the NEP. Based on the model, the evidential reasoning (ER) approach is used to aggregate quantitative data and qualitative expert judgments to generate distributed assessments for candidate ports, as well as modeling uncertainties such as incompleteness and ignorance in the assessment of candidate ports. Their suitability as fulcrum ports are prioritized according to the utilities. The results show that Pevek, Sabetta, and Murmansk are the ideal fulcrum ports for the eastern, central, and western section, respectively, of the Russian Arctic coast. The associated policy recommendations include prioritizing the improvement of selected fulcrum ports, attaching importance to promising candidate ports, updating outdated infrastructure, and implementing more related projects. A sensitivity analysis conducted in this study validates the feasibility and reasonability of the proposed model.

论文类型:期刊论文

学科门类:管理学

文献类型:J

卷号:49

期号:2

页面范围:214-235

ISSN号:0308-8839

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发表时间:2020-12-29

收录刊物:SSCI

发布期刊链接:https://www.tandfonline.com/doi/full/10.1080/03088839.2020.1859149