具有机会约束动态定价和需求学习的集成共享乘车服务
Integrated ridesharing services with chance-constrained dynamic pricing and demand learning
摘要：
综合移动按需服务的设计需要综合考虑出行者选择行为和运营商运营策略之间的相互作用，设计一个财务上可持续的定价方案。然而，大多数现有的研究集中在供应方的角度来看，忽视了共存的运输网络存在的客户选择行为的影响。我们提出了一个动态集成的移动性按需服务运营政策评估的建模框架，两个服务选项：门到门共乘和共乘与过境转让。考虑到不同运输方式的相关结构，提出了一种新的约束动态定价模型，以运营商利润最大化为目标。用户支付意愿被认为是一个随机约束，从而导致更现实的票价设置，同时最大限度地提高运营商的利润。与大多数假设出行需求已知的研究不同，我们提出了一个需求学习过程，根据客户的历史购买数据来校准客户需求。我们评估所提出的方法，通过模拟在不同的情况下的测试网络，考虑在多模式市场的供应和需求的相互作用。在不同的情况下，客户到达强度，车辆容量，和用户支付意愿的方差进行了测试。结果表明，建议的机会约束的分类价格优化模型，允许增加运营商的利润，同时保持建议的票价可接受的。
英文摘要：
The design of integrated mobility-on-demand services requires jointly considering the interactions between traveler choice behavior and operators' operation policies to design a financially sustainable pricing scheme. However, most existing studies focus on the supply side perspective, disregarding the impact of customer choice behavior in the presence of co-existing transport networks. We propose a modeling framework for dynamic integrated mobility-on-demand service operation policy evaluation with two service options: door-to-door rideshare and rideshare with transit transfer. A new constrained dynamic pricing model is proposed to maximize operator profit, taking into account the correlated structure of different modes of transport. User willingness to pay is considered as a stochastic constraint, resulting in a more realistic ticket price setting while maximizing operator profit. Unlike most studies, which assume that travel demand is known, we propose a demand learning process to calibrate customer demand over time based on customers' historical purchase data. We evaluate the proposed methodology through simulations under different scenarios on a test network by considering the interactions of supply and demand in a multimodal market. Different scenarios in terms of customer arrival intensity, vehicle capacity, and the variance of user willingness to pay are tested. Results suggest that the proposed chance-constrained assortment price optimization model allows increasing operator profit while keeping the proposed ticket prices acceptable.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
