With the advent of e-hailing applications, ride-sourcing service has become popular and replaced a substantial portion of taxi services. It is crucial to study the impact of different management strategies and regulation policies on taxi and ride-sourcing market performance. We build a taxi network service model involving taxi and ride-sourcing service to study the effect of pricing strategies, fleet size regulation, and customer-driver meeting ways on the equilibrium and the market performance. We prove that there is a solution for the network model and propose a solution algorithm based on the fixed-point iteration method. Numerical experiments are performed to analyze the market performance of taxi and ride-sourcing services under different fleet sizes and pricing strategies. This study provides valuable references for designing policies and measures to regulate taxi and ride-sourcing.

随着电子叫车应用的出现，叫车服务变得流行并取代了大部分出租车服务。研究不同管理策略和监管政策对出租车和网约车市场表现的影响至关重要。我们构建了一个涉及出租车和叫车服务的出租车网络服务模型，以研究定价策略、车队规模监管和客户-司机见面方式对均衡和市场表现的影响。我们证明了网络模型是有解的，并提出了一种基于定点迭代法的解算法。进行数值实验以分析不同车队规模和定价策略下出租车和拼车服务的市场表现。