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

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

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。

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.