| description abstract | A two-stage method for matching private idle parking slots with demanders is proposed based on the core idea of private idle parking slot sharing to solve the problem of parking difficulty in a shared economy environment. This method combines knowledge rules and a multiobjective optimization model. In the first stage, knowledge rules for screening private idle parking slots that meet demanders’ walking distance and parking price requirements are proposed. In the second stage, the degree of satisfaction of demanders concerning parking price and walking distance from private idle parking slots to their destination and the degree of satisfaction of private idle parking slots regarding parking slot occupancy rates are constructed first. Then, considering whether private idle parking slot owners provide extended time, a multiobjective optimization model is established by maximizing the satisfaction degree of demanders, the satisfaction degree of private idle parking slot owners, and the profits of the platform. Further, an improved nondominated sorting genetic algorithm II (INSGA II) is developed to solve the model. Finally, a practical example is used to illustrate the feasibility and effectiveness of the proposed method. | |
