摘要
本文研究建立了大数据辅助决策体系,构建了电商物流领域的公共基础设施建设、运输组织模式创新、行业运行指数、行业安全与服务标准、信用体系建设以及节能减排等方面的应用场景。
This study established a big data aided decision-making system,building the application scenarios of public infrastructure construction,innovation of transport organization mode,industry index,industry safety and service standards,the credit system construction,energy conservation,emissions reduction,etc.in the field of the e-commerce logistics.
作者
高博
华光
黄翔
GAO Bo;HUA Guang;HUANG Xiang(China Academy of Transportation Sciences, Beijing 100013, China)
出处
《综合运输》
2018年第6期105-108,共4页
China Transportation Review
关键词
大数据
辅助决策
电商物流
应用场景
Big data
Aided decision-making system
E-commerce logistics
Application scenarios