大数据下深圳市出租车资源配置研究  

The Research for the Taxi Resource Allocation in Shenzhen in the Era of Big Data

作　　者：赵转萍[1] 

机构地区：[1]山西大学商务学院,山西太原030031

出　　处：《太原师范学院学报（自然科学版）》2017年第3期19-22,共4页Journal of Taiyuan Normal University:Natural Science Edition

摘　　要：文章通过对滴滴快的智能出行平台导出的大数据进行分析,引入供需平衡率的概念,建立了衡量出租车资源信息的"供求匹配"程度的数学模型,对大数据时代下深圳市出租车资源配置进行分析研究.在此基础上,又从资金和政策两方面考虑,给出了一套合理的出租车补贴方案.This article gives the concept of Balance Rate between Supply and Demand by analyzing the big data from the smart trip platform of DiDi ＆ Kuaidi Joint Co, establishes the mathematical model for measuring the level of the matching of supply and demand on the taxi resource information,and makes an analysis and research for the taxi resource allocation in Shenzhen in the era of big data,on the basis of which, it provides a reasonable plan of taxi subsidies, considering from two aspects of fund and policy.

关 键 词：出租车分布量 订单需求量 供求平衡率 空载率 

分 类 号：O29[理学—应用数学]