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基于改进模糊聚类模型的铁路物流节点规划分析

Analysis of the Railway Logistics Node Development Planning Based on the Improved Fuzzy Clustering Model

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【作者】 凌飞翔王明慧张桥倪少权

【Author】 LING Feixiang;WANG Minghui;ZHANG Qiao;NI Shaoquan;School of transportation and Logistics,Southwest Jiaotong University,Master Degree Candidate;School of transportation and Logistics,Southwest Jiaotong University;ChongqingGuizhou Railway Co.,Ltd;

【机构】 西南交通大学交通运输与物流学院渝黔铁路有限责任公司

【摘要】 结合对物流节点规划现状的研究,综合考虑铁路物流节点规划影响因素,构建经济发展、铁路建设、区位交通、地区支撑、环境条件、投资利润等6个方面24个指标的铁路物流节点规划评价体系。运用改进模糊聚类模型分析方法进行评价分析、实例验算,确定影响铁路物流节点规划的主次因素。对比模糊聚类分析结果,说明改进模糊聚类分析的可行性,对科学规划铁路物流节点具有一定实践意义。

【Abstract】 Combined with the current research on logistics node planning and considering the influence factors of railway logistics node planning, this paper constructs the evaluation system from the economic development, railway construction, regional transportation, regional support, environmental conditions and investment profit of railway logistics, in total 6 aspects and 24 indicators. The improved fuzzy clustering model is carried out to determine the primary and secondary factors which affect the results. Eventually,the author compares the results of improved fuzzy clustering analysis with basic fuzzy clustering analysis, the feasibility is proved.

【基金】 国家自然基金项目(61273242,61403317,60776826);中国铁路总公司科技研究计划项目(2015X008-B,2014X004-D);四川省科技厅软科学计划项目(2015ZR0141);中央高校基本科研业务费专项资金资助(2682015CX043)
  • 【文献出处】 铁道经济研究 ,Railway Economics Research , 编辑部邮箱 ,2017年04期
  • 【分类号】F259.2;F532
  • 【被引频次】3
  • 【下载频次】227
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