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作 者:陈思[1,2] 钟娟 汤银英[1,2] 梁玥 宋洪江[3] CHEN Si;ZHONG Juan;TANG Yingyin;LIANG Yue;SONG Hongjiang(School of Transportation and Logistics,Southwest Jiaotong University,Chengdu 611756,China;National Engineering Laboratory of Integrated Transportation Big Data Application Technology,Southwest Jiaotong University,Chengdu 611756,China;Chengdu-Guiyang Railway Co.Ltd,Chengdu 610032,China)
机构地区:[1]西南交通大学交通运输与物流学院,成都611756 [2]西南交通大学综合交通大数据应用技术国家工程实验室,成都611756 [3]成贵铁路有限责任公司,成都610032
出 处:《综合运输》2023年第3期145-151,共7页China Transportation Review
基 金:中国国家铁路集团有限公司科技研究开发计划项目(P2021X013、K2022X025、K2022X027)。
摘 要:中欧班列开行为中国内陆城市带来了低成本、高效率的国际铁路物流线路,为探究中欧班列开行对中国内陆城市国际物流线路的影响,以中国15个稳定开行中欧班列的内陆城市为对象,运用位序-规模法则和纵横对比识别这些城市2011-2020年的国际物流线路时空演化趋势,并构建了结构方程模型挖掘演化影响因素。结果表明:这些城市国际铁路和航空物流线路发展水平均逐渐发展成三级阶梯分布,国际铁路物流线路发展水平位于第一阶梯的城市有:重庆、成都、西安和乌鲁木齐;国际航空物流线路发展水平位于第一阶梯的城市有:重庆和郑州。并通过因素分析知铁路国际货运能力、航空国际货运能力和外贸水平是造成内陆城市国际物流线路时空差异的关键影响因素。In order to explore the China Railway Express’s effection to international logistics routes of inland cities in China as it brings low-cost and high-efficiency international railway logistics routes,the evolution of international logistics routes of 15 inland cities with stable operation of China Railway Express from 2011 to 2020 was identified by using the rank-scale rule and vertical and horizontal comparison.And a structural equation model was constructed to analyze the influencing factors.The results show that:the development level of international railway and air logistics routes of these cities gradually develop into a three-tiered distribution.The cities with the development level of international railway logistics routes at the first level are:Chongqing,Chengdu,Xi'an and Urumqi and the cities with the development level of international railway logistics routes are:Chongqing and Zhengzhou.Based on factor analysis,it is known that international railway freight capacity,international air freight capacity and foreign trade level are the key influencing factors of temporal and spatial differences of international logistics routes in inland cities.
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