基于旅客出行方式选择的高速铁路客运分时定价方案研究

高速铁路（简称：高铁）客流一天之中具有较大的波动性，呈现出高峰、平峰、低谷的特点。文章利用“削峰填谷”思想，基于分时定价理论和Logit效用函数，考虑旅客选择出行方式的行为因素，以及线路通过能力、客车容量等约束，建立以高铁企业收入最大化为目标的分时定价模型，并利用遗传算法进行求解。通过某铁路线实际算例，验证上述模型和算法的可行性。验证结果表明，高铁分时定价策略有助于提升高铁市场占有率及运营企业客运收益。

Time-sharing pricing of high-speed railway passenger transport based on passenger travel mode selection

The passenger flow of high-speed railway (abbreviated as high-speed railway) fluctuates greatly in a day, showing the characteristics of peak, flat peak and low peak. Using the idea of "peak clipping and valley filling", based on time-sharing pricing theory and Logit utility function, considering the behavior factors of passengers in choosing travel modes, as well as the constraints of railway carrying capacity and passenger capacity, this paper established a time-sharing pricing model with the goal of maximizing revenue of high-speed railway enterprises and used genetic algorithm to solve it. The feasibility of the above model and algorithm were verified by a practical example of a railway line. The verification results show that the time-sharing pricing strategy of high-speed rail is helpful to improve the market share of high-speed railway and the passenger revenue of operating enterprises.