A Sequential Game Model And Application Study Of Regional Shared Parking Space Deployment Strategy

The current bilateral cooperation model in the shared parking space market has a low cooperation rate.There is a lack of in-depth research on the formation mechanism of tripartite cooperation in shared parking spaces.The supply and demand relationship in the shared parking space market cannot be properly grasped.It is not only a waste of parking resources,but also a failure to improve the current situation of "difficult parking".Therefore,this work aims to increase the cooperation rate of the shared parking space market.First,the owner,the shared parking space platform,and the driver are used as the research objects.The effects of different factors on the cooperation rate of the shared parking space market are considered.A sequential game is proposed to describe the three-party game relationship in the shared parking space market.The endowment effect is applied to analyze the dilemma faced by the shared parking space market.Consider the competition for parking spaces as a sequential game and build a benchmark model.Solve the three-way cooperation condition using inverse induction.Meanwhile,an evaluation factor model is proposed to study the evaluation factors of tripartite cooperation.The principle of economic Pareto optimality is adopted.A sequential game-based model is constructed to optimize the rate of tripartite cooperation for regional shared parking spaces.Based on the idea of Pareto improvement,the solution of the optimization model of three-party cooperation rate of shared parking space is proposed to reveal the process of three-party cooperation rate improvement.Second,a controlled experiment drawing on a group-forming sequential design.The simulation validation and sensitivity of parameters are analyzed by Py Charm IDE for the optimization model of the three-way cooperation rate of shared parking spaces.The validity of the model is verified using Statistic Analysis System(SAS 9.4).The results show that the model can quickly match owners,platforms,and drivers randomly in the region.When the prediction probability of evaluation factors reaches 71.4% or more,the cooperation rate of owners and platforms increases at least 16.7% or more,and the cooperation rate of platforms and drivers increases at least 66.1% or more,and the platforms have the maximum cooperation benefit at all times.Finally,a cooperation rate optimization method and strategy for regional shared parking space deployment is proposed based on the three-party cooperation rate optimization model of sequential game.Conclusions:(1)The sequential game can more accurately describe the relationship of the three-party game in the regional shared parking space market.The optimization model of the three-party cooperation rate of regional shared parking spaces based on the sequential game can meet the interest demands of the three-party cooperation,thus effectively improving the three-party cooperation rate,and the cooperation rate of drivers and platforms is more likely to be improved than that of owners and platforms.(2)Our approach gets rid of the bilateral cooperation model which is affected by the uncertainty of cooperation rate in the shared parking space market.Even if owners and drivers are irrational,it keeps the platform operating optimally.The research results in this paper provide a reference for the provisioning of shared parking platform under 5G Io T.It provides a basis for the development of the shared parking space market.