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The Application and Development of Big Data in Transport Logistics Industry in China

机译:大数据在中国运输物流业中的应用与发展

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This paper comprehensively summarizes the status in quo, requirements, system structure, contents and theories of the development and application of big data decision analysis system in transport logistics industry in China. First of all, from the perspective of the transport industry, the main participants in logistics industry can be divided into four types, and, analyzing their requirements respectively according to the roles and responsibilities of different types of participants. And then, this paper explains the relationship among the different information systems involved in decision analysis of big data in transport logistics and describes the data resource distribution and contents of these systems. After that, the paper summarizes six common methods of big data analysis. The development and application of transport logistics big data decision analysis system is in a stage of rapid development. Under the guidance of the competent authorities of transport industry, the logistics big data resource sharing system is basically established, which integrates multi-sector, multi-transport mode and multi-regional system platforms based on the LOGINK (The National Transportation Logistics Public Information Platform) and provides a variety of data services for government, business and research.
机译:本文全面总结了我国运输物流行业大数据决策分析系统的发展现状,需求,系统结构,内容和理论。首先,从运输业的角度来看,物流业的主要参与者可以分为四种类型,并根据不同类型参与者的角色和职责分别分析其需求。然后,本文解释了运输物流中大数据决策分析所涉及的不同信息系统之间的关系,并描述了这些资源的数据资源分布和内容。在此之后,本文总结了六种常见的大数据分析方法。运输物流大数据决策分析系统的开发与应用正处于快速发展阶段。在交通运输业主管部门的指导下,基本建立了物流大数据资源共享系统,该系统基于LOGINK(国家运输物流公共信息平台)整合了多部门,多运输方式和多区域的系统平台。 ),并为政府,企业和研究机构提供各种数据服务。

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