The Application and Development of Big Data in Transport Logistics Industry in China
Peng Ren, Ran Ding · 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) · 2019
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.