This study models and manages the parking sharing problem in urban cities, where private parking owners can share their vacant spaces to parking users via a parking sharing platform. The proposed model takes into account the spatial dimension of parking, where clusters of curbside spaces and private shareable ones are distributed over different locations. On the supply side, private parking owners can “sell the right-of-use” of their spaces to the platform based on the rent they can receive and the inconvenience they would experience due to sharing. On the demand side, travelers make their parking choices of space type (curbside or shared) and location under given parking capacities and prices. The resulting parking choice equilibrium is formulated as a minimization problem and several properties of the equilibrium are identified and discussed. The platform operator’s pricing strategy, i.e., rent paid to space owners and price charged on space users, can significantly affect the private parking owners’ sharing decisions and the choice equilibrium of parking users. In this context, we examine the platform operator’s optimal pricing strategies for revenue-maximization or social-cost-minimization. Numerical examples are also presented to illustrate the models and results and to provide further insights.

这项研究模拟并管理了城市中的停车共享问题，在这些城市中，私人停车拥有者可以通过停车共享平台将其空置空间共享给停车用户。提出的模型考虑了停车位的空间维度，其中路边空间和私人共享空间的集群分布在不同的位置。在供应方面，私人停车场的拥有者可以根据他们可以收到的租金和共享带来的不便，将其空间的使用权“出售”到平台上。在需求方面，旅客可以根据给定的停车容量和价格在空间类型（路边或共享）和位置方面选择自己的停车位。由此产生的停车选择平衡被公式化为一个最小化问题，并确定并讨论了该平衡的几个属性。平台运营商的定价策略（即支付给空间所有者的租金和对空间用户收取的价格）会严重影响私人停车场所有者的共享决策和停车场用户的选择平衡。在这种情况下，我们研究了平台运营商针对收入最大化或社会成本最小化的最佳定价策略。还提供了数值示例，以说明模型和结果并提供进一步的见解。