标题:
“互联网+”时代的出租车资源配置的研究The Research of Taxi Resources Allocation in the “Internet+” Era
作者:
许涛, 晁雯, 史继文
关键字:
因子分析, 主成分分析, 方差分析, 回归分析Factor Analysis, Principal Component Analysis, Variance Analysis, Regression Analysis
期刊名称:
《Statistics and Application》, Vol.4 No.4, 2015-12-30
摘要:
本文主要通过因子分析，确定了影响出租车供需关系的指标；通过主成分分析、方差分析判断指标的影响程度以及运用回归分析评价出租车补贴方案的效力，得出各公司的出租车补贴方案对增加出租车供给量、缓解“打车难”有积极作用的结论。此外，通过建立微分方程模型提出新的出租车补贴方案并对其进行优化。运用本文所运用的各统计学模型对出租车供需情况进行预测和检验，并且为“互联网+”时代的出租车资源配置提供了科学性建议和理论性指导。
In this paper, the indexes affecting the supply and demand of taxi are determined by the factor analysis. Through principal component analysis, variance analysis to judge the degree of impact of index and the use of regression analysis to evaluate the effectiveness of taxi subsidy scheme, then make the conclusion that the taxi subsidy scheme of company has a positive role in increasing taxi supply and alleviating the phenomenon of difficult to take a taxi. Furthermore, by establishing differential equation model, a new taxi subsidy scheme is put forward and its evaluation and op-timization are carried out. The model in the paper is used to predict and test the supply and de-mand situation of the taxi, and provide scientific suggestions and theoretical guidance for the taxi resource allocation in the “Internet +” era.