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基于货物价值特性的集装箱公铁联运竞争力分析 被引量:2

Competitiveness Analysis of Road-rail Intermodal Container Transport Based on Value Characteristics of Goods
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摘要 为了明确公铁联运目标市场以及与其他运输方式竞争优势,需要开展集装箱公铁联运竞争力分析。基于货物价值特性,利用层次聚类法将货物分为时间高度敏感类货物、时间中度敏感类货物和时间低度敏感类货物,建立集装箱公铁联运竞争力Logit模型,分析货物初始价值、货物贬值常数、运输时间和运输费用对公铁联运竞争力的影响。结果表明:公铁联运主要目标货源为时间中度敏感类货物和时间低度敏感类货物,提高公铁联运相对分担率的主要措施包括提高干线运输速度、提高中转效率、简化流程手续等。 To clarify the target market of road-rail intermodal transport and its competitive advantages over other transport modes, this paper analyzed the competitiveness of road-rail intermodal container transport. According to the value characteristics of goods, this paper used the hierarchical clustering method to divide the goods into three types: highly time-sensitive goods, moderately time-sensitive goods, and slightly time-sensitive goods. The Logit model of the competitiveness of road-rail intermodal container transport was built, and the influence of four parameters on the competitiveness of road-rail intermodal container transport was analyzed, namely, the initial value of goods, depreciation constant of goods, transportation time, and transportation cost. The results show that the main target market of road-rail intermodal transport is moderately time-sensitive goods and slightly time-sensitive goods and the main measures to improve the relative sharing rate of road-rail intermodal transport include improving transportation speeds of trunk lines, enhancing transfer efficiency, and simplifying procedures.
作者 唐力 周凌云 赵明佶 鲁晓帆 董楠 TANG Li;ZHOU Lingyun;ZHAO Mingji;LU Xiaofan;DONG Nan(Transportation&Economics Research Institute,China Academy of Railway Sciences Corporation Limited,Beijing 100081,China;Department of Intermodal Transportation,China Railway Container Transport Co.,Ltd.,Beijing 100055,China)
出处 《铁道运输与经济》 北大核心 2021年第10期75-81,共7页 Railway Transport and Economy
基金 中铁集装箱运输有限责任公司科技研究开发计划课题(PAXX18200051) 中国国家铁路集团有限公司科技研究开发计划课题(2019F023)。
关键词 货物价值 公铁联运 市场细分 LOGIT模型 竞争力分析 Value of Goods Road-rail Intermodal Transport Market Segmentation Logit Model Competitiveness Analysis
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