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This paper mainly studies how much effect those various subsidy schemes from taxi-hailing app companies can have on easing the difficulty in taking a taxi in the Internet plus era. First, two concepts are introduced. One is the concept of supply and demand matching index, quantifying supply and demand relation of taxis, the other being the concept of vehicle load factor, calculating the optimal supply and demand matching index, which is 0.2486. Then, the supply and demand matching indexis calculated, based on the implementation of various subsidy programs in Wuhan City.Finally, the relations between the two kinds of indexes mentioned above have been compared. It is concluded that subsidy schemes from taxi-hailing app companies can to some extent ease the difficulty in taking a taxi in the initial stage. However, in the long run, they will make the situation worse. Problem Analysis Whether the difficulty in taking a taxi can be alleviated, it is a relative concept.Firstly,a mathematic quantification should be conducted so as to measure the difficulty degree in taking a taxi with a reasonable index. In doing so an optimal supply and demand matching index is established in this paper.Then, specific subsidy programs from each company are investigated and relevant data are referred to quantify difficulty degrees in taking a taxi before and after the implementation of these subsidies.Finally, we compare effects different subsidy schemes have on the difficulty in taking a taxi.

Supply-Demand Relation and Resource Allocation Model of Taxis in Internet Plus Era