论文标题
乘车服务的空间定价在通讯网络中
Spatial Pricing of Ride-sourcing Services in a CongestedTransportation Network
论文作者
论文摘要
我们研究了考虑到交通拥堵的Stackelberg框架中空间定价对乘车服务的影响。在较低的层次中，我们使用合并的分布和分配方法来明确捕获驾驶员的搬迁，骑手模式选择和所有旅行者路由决策之间的相互作用。在高层，单个运输网络公司（TNC）决定了空间定价策略，以最大程度地减少双面市场的不平衡。我们展示了位置不平衡最小化的最佳定价策略的存在，并提出具有可靠收敛性能的有效算法。此外，最佳定价是独一无二的，当匹配时间可以忽略时，可以在凸重新印象中解决。我们在具有不同TNC目标的不同规模的运输网络上进行数值实验，以生成有关空间定价如何影响运输系统的政策见解。
We investigate the impacts of spatial pricing for ride-sourcing services in a Stackelberg framework considering traffic congestion. In the lower level, we use combined distribution and assignment approaches to explicitly capture the interactions between drivers' relocation, riders' mode choice, and all travelers' routing decisions. In the upper level, a single transportation network company (TNC) determines spatial pricing strategies to minimize imbalance in a two-sided market. We show the existence of the optimal pricing strategies for locational imbalance minimization, and propose effective algorithms with reliable convergence properties. Furthermore, the optimal pricing is unique and can be solved in a convex reformulation when matching time can be ignored. We conduct numerical experiments on different scales of transportation networks with different TNC objectives to generate policy insights on how spatial pricing could impact transportation systems.
