摘要
本文通过比较各大城市的出租车数量和城市人口情况,选取北京作为研究对象,查找实时出租车需求量、位置和实际运行量,以空驶率、满载率、万人拥有量为指标分析供求匹配程度。查阅资料,建立理想化出租车数量模型进一步分析,可得出北京市出租车供求程度。选取滴滴出行和快的两大打车平台分析其补贴政策是否有作用,将乘客等待时间作为随机变量,对其进行是否符合正态分布的检验,通过检验后对原有数据使用插值拟合的方法对原有数据经行预测扩充,随后通过比较补贴前后乘客等待时长,利用matlab绘制正态函数分布图,补贴后图像相对向左平移,期望值减小约2分钟,对两组数据进行方差分析,发现显著性为0.223,说明补贴政策有一定作用,但前后数据不具备明显差异。
By comparing the number of taxis and urban population in major cities,this paper chooses Beijing as the research object,searches for real-time taxi demand,location and actual operation volume,and analyses the matching degree of supply and demand with empty driving rate,full loading rate and ten thousand people ownership as indicators.By consulting data and establishing an idealized taxi quantity model for further analysis,the supply and demand of taxis in Beijing can be obtained.Two taxi platforms are selected to analyze whether the subsidy policy is effective or not.The waiting time of passengers is taken as a random variable to test whether it conforms to the normal distribution.The original data is predicted and expanded by interpolation fitting after the test.Then,the waiting time of passengers before and after the subsidy is compared,and the normal function is drawn by matlab.Distribution map shows that the image after subsidy moves to the left and the expected value decreases by about 2 minutes.Analysis of variance shows that the significant difference between the two groups is 0.223,indicating that subsidy policy has a certain effect,but there is no significant difference between the data before and after subsidy.
作者
吴业菁
王梓燚
张雷
WANG Zi-yi;WU Ye-jing;ZHANG Lei(North China University of Technology to Yisheng Innovation Education Base,Hebei Tangshan 063210,China;North China University of Technology School of Economics,Hebei Tangshan 063210,China;North China University of Technology School of Information Engineering,Hebei Tangshan 063210,China)
出处
《新一代信息技术》
2019年第2期8-14,共7页
New Generation of Information Technology
基金
国家自然基金资助项目(No.11601151)。
关键词
经济学理论
正态分布
插值拟合
匹配度
Economic theory
Normal distribution
Interpolation fitting
Matching degree
