Applications of autonomous driving technology in ride-hailing service platform: based on multi-party evolutionary game analysis

Abstract

The rapid development of autonomous driving technology is reshaping the business landscape of ride-hailing service platforms, and there is a gap in dynamic research on the multi-party collaborative promotion of autonomous driving technology. Therefore, the purpose of this study is to explore the strategic interactions among the government, autonomous driving technology providers, and ride-hailing service platforms in the promotion and application of autonomous driving technology; reveal the strategic dependencies of the three parties by constructing a multi-party dynamic evolution game model; and draw the following conclusions from the sensitivity analysis of the relevant parameters through numerical simulation: it is found that the initial willingness of the technology provider and the service provider is the determinant of the stability of the autonomous driving car technology promotion strategy; the market mechanism is the main driving force of technology promotion, and the government subsidy plays an auxiliary incentive role; the socio-economic benefits and the technology commission ratio are the key elements to achieve the stability strategy, and the optimization of the commission ratio can reduce the dependence of the two parties on the government subsidy; the government subsidy and the penalty mechanism can effectively accelerate the process of technology promotion, in which the government’s initial willingness to subsidize and the subsidy ratio have a significant positive effect on the willingness of ride-hailing service platforms to adopt the technology. The results of this study provide decision-making references for policymakers and stakeholders to adapt to the market changes and transformation brought by technology impacts and strategic suggestions for enterprises to grasp the window period of technology promotion.