基于上海市对“快滴时代”出租车供求匹配的研究  

Research on Supply and Demand Matching of 'Fast Drop Times' Taxi in Shanghai City

作　　者：姜昊[1] 程英[1] 王燕[1] 常啸[1] 

机构地区：[1]安徽财经大学统计与应用数学学院,安徽蚌埠233000

出　　处：《佳木斯大学学报（自然科学版）》2016年第4期649-651,共3页Journal of Jiamusi University：Natural Science Edition

基　　金：国家自然科学基金(71171001);国家社会科学基金青年项目(08CJY028);省级大学生创新创业训练计划(AH201410378534)

摘　　要：以上海各区出租车数据为基础,采用模糊综合评价与灰色关联度分析相结合的分析方法研究,用关联度近似代替供求匹配度,将打车软件兴起前后的供求匹配度进行对比,综合分析模型研究结果,得出打车软件没有对缓解打车难产生明显效果的结论。On the basis of taxi data in each Shanghai district, it combined fuzzy comprehensive evaluation with grey correlation degree, using correlation degree approximately instead of the matching degree of supply and demand, and then Comparing the matching degree of supply and demand before and after. Through the comprehensive analysis of model results, it is concluded that taxi software does not have a significant effect on relieving the difficulty of taking a taxi.

关 键 词：出租车 供求匹配度 模糊综合评价 灰色关联度 

分 类 号：F570.7[经济管理—产业经济] F224