“互联网+”时代的出租车资源配置  

Allocation of Taxi Resources in the Era of “Internet Plus”

作　　者：田永强 赵健评 田永泰 

机构地区：[1]云南财经大学,云南 昆明 [2]云南经济管理学院,云南 昆明

出　　处：《应用数学进展》2022年第4期1890-1902,共13页Advances in Applied Mathematics

摘　　要：出租车的资源配置是一个重要的问题,合理的资源配置会带来更多的利润。“互联网+”时代的到来,打车软件走向了大众。针对衡量出租车资源的“供求匹配”程度的问题,我们采用建立出租车的空驶率模型,并用SPSS的拟合检验的方法,得到出租车市场需求大于供给的结论;针对公司补贴缓解打车难的问题,我们采用建立不同模式下空驶率比较模型,并用层次分析验证的方法,得到公司补贴能缓解打车难,但作用很小的结论;针对新打车软件下设计新补贴方案的问题,我们采用建立博弈理论模型,用概率作为补贴依据的方法,得到最优化的补贴方式。The allocation of taxi resources is an important problem, and reasonable allocation of resources will bring more profits. With the advent of the “Internet plus” era, taxi-hailing software has become popular. In order to measure the degree of “supply and demand matching” of taxi resources, we establish a taxi empty driving rate model and use SPSS fitting test method to get the conclusion that the demand of taxi market is greater than the supply. In view of the problem that the company’s subsidy alleviates the difficulty of taking a taxi, we establish a comparison model of empty driving rate under different modes and use the method of analytic hierarchy process to verify that the company’s subsidy can alleviate the difficulty of taking a taxi, but the effect is small. In view of the problem of designing a new subsidy scheme under the new taxi software, we adopted the method of establishing a game theory model and using probability as the basis of subsidy to obtain the optimal subsidy method.

关 键 词：空驶率 SPSS 模糊评价理论 层次分析 博弈模型 

分 类 号：F572[经济管理—产业经济]