As the taxi-hailing apps and subsidy system grow more popular, more and more residents begin to use this app. Whether the difficulty of taking taxi problems get effectively relieved has become a hot issue, to solve this problem, we qualitatively analyzed the changes between before the subsidy and after the subsidy at first, then analyzed the linear relationship between the ratio of taxi demand and supply and waiting time quantificationally through SPSS, then compared the ratio of taxi demand

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... supply before the subsidy with that after the subsidy, and find that the ratio of taxi demand and supply reduced when subsidy exist, it shows that the subsidy makes taking a taxi easier.Secondly, by quantificationally analyzing the difficulty of taking taxi before the subsidy and after the subsidy, concluding the influence of subsidy on the ratio of taxi demand and supply: the subsidy of driver and passengers are influenced by resident travel time distribution and the population density. By using SPSS to do curve regression analysis, and find out the expression which matched perfectly. According to the travel time distribution ratio and population density weight calculated an expression of subsidies of drivers and passengers. Finally, using the multivariate linear regression, analyzed the relation between the ratio of taxi demand and supply and subsidies of drivers and passengers, obtained the expression. Then use this expression to get the ratio of taxi demand and supply of before the and after the subsidy, the conclusion is that when allowance one unit of subsidy to the driver, the ratio of taxi demand and supply will decline 2.1%; when allowance one unit of subsidy to passengers, the ratio of taxi demand and supply will increase 1.4%.