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“互联网+”背景下提高车货匹配效率途径研究 被引量:3

Ways to Improve Vehicle and Cargo Matching Efficiency under the Background of Internet
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摘要 随着中国互联网飞速发展,"互联网+"、大数据、云计算已深入各大行业,包括货运行业。互联网背景下催生了以货车帮为首的车货匹配类平台的产生,为货运市场提供了极大便利。平台爆炸式产生,竞争日益激烈,对信息匹配精准度和效率有了更高要求,以货车帮平台为例,通过对车货匹配平台的提高途径进行研讨,研究得出车货精准匹配效率可通过完善信用体系、打通信息堡垒、积累物流大数据、高效的数据处理及壮大车后市场这五大方面得到提高的结论。 With the rapid development of China's interuet, internet plus, big data and cloud computing have penetrated into vari- ous industries including freight industry. Under the background of the interact, the production of vehicle matching plaffbrm headed by trucks help has been spawned, which provided great convenience for the freight market. Because of the plaffbrm explosion, the competition is increasingly fierce, the precision and efficiency of information matching have higher requirements. Taking the trucks help as an example, through the discussion of the way to improve the vehicle matching platform, the result shows that precision matching efficiency of the goods can be obtained by perfecting the credit system, making the information fortress, accumulating the large logistics data and high data processing and expand the ear market.
作者 陈动福 CHEN Dongfn(School of Civil Architecture and Environment,Hubei University of Technolog;Wuhan 430068,Chin)
出处 《物流科技》 2018年第8期25-27,共3页 Logistics Sci-Tech
关键词 互联网+ 货车帮 车货精准匹配 货车后市场 internet plus freight for goods vehicles precise matching truck nlarket
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