Research On Evolutionary Game Of Online Car-hailing And Taxi Based On Waiting Perception Time

The development of the mobile Internet has given birth to the birth of online car-hailing.Its appearance has intensified the competition in the urban passenger transport market and squeezed the living space of taxis.The contradiction between the two is becoming more and more irreconcilable.In this context,it is of great significance to study the gaming behavior of online car-hailing and taxis.Evolutionary game theory is based on the theory of biological evolution,which explores the decision-making behavior of individuals under incomplete information and under bounded rationality.This article combines prospect theory and evolutionary game theory to study the behaviors of residents’ travel and taxi-hailing choices,in order to provide a basis for government departments to formulate policies and urban passenger transport companies to formulate development strategies.In view of the prominent contradictions in the current urban passenger transport market,this article first analyzes and summarizes the application of evolutionary game theory in the transportation field.In view of the existing problems in the current research,this article proposes a method to solve the unclear benefit function by using prospect theory,and builds based on the residents waiting for taxi an evolutionary game model of perception time.Then,this article defines the definition of waiting perception time,demonstrates the influence of waiting perception time on residents’ taxi-hailing behavior,and analyzes the factors affecting residents’ waiting perception time for taxi-hailing.Secondly,through the questionnaire survey,the factors affecting the perception of waiting time for residents to ride a taxi were studied,and a multiple linear regression model was constructed for the perception of waiting time for residents to take a taxi.Finally,using the multiple linear regression model of residents’ waiting perception time for taxi rides,combined with prospect theory,the benefit function of residents’ taxi decision based on waiting perception time is defined.The benefit function is used to construct an evolutionary game model of online car-hailing and taxis,and the evolutionary game is calculated to replicate the dynamic equation.There are three stable states,and the trend of the three stable states is analyzed.The analysis results show that the evolutionary game between online car-hailing and taxi has only one evolutionary stable strategy.Combining the stable state point of the evolutionary game,this article provides a basis for the development of urban passenger transport enterprises and relevant government departments to formulate policies,with a view to promoting the urban passenger transport market to the direction of high-quality services.