山东科学2024，Vol.37Issue(5)：69-78,10.DOI:10.3976/j.issn.1002-4026.20230168
基于需求弹性的多模式铁路客运票价优化模型及算法
Optimization model and algorithm for multimodal railway-passenger transportation fares based on demand elasticity
摘要
Abstract
To improve the competitiveness of the railway-passenger transportation market and increase its operational revenue,this study investigates the multiobjective system optimization issue of multimodal railway-passenger transportation fares.A mathematical model was used to describe the equilibrium relationship among the demands of different railway-passenger transportation products.Sensitivity analysis was performed to provide a calculation method for the demand elasticity of multimodal railway-passenger transportation products,and a market demand function for multimodal railway-passenger transportation was formulated.Considering multiple optimization objectives such as market demand,passenger transportation revenue,and profit of railway-passenger transportation enterprises along with passenger transportation costs,we proposed a multiobjective bi-level planning model for describing the system optimization issue of multimodal railway-passenger transportation fares.Finally,we used real passenger transportation data of the railway line between Beijing and Tianjin to validate the proposed model.The results show that the proposed method can effectively balance multiple objectives such as passenger transportation demand,passenger transportation revenue,and profit,providing reference and support for railway-passenger transportation departments to develop scientifically reasonable fare systems in different market competition stages.关键词
铁路客运/铁路客运票价/需求弹性/多目标/双层规划Key words
railway-passenger transportation/railway-passenger fare/demand elasticity/multi-objective/bi-level planning分类
交通工程引用本文复制引用
王红印,袁媛,崔鸿蒙,郑宣传,四兵锋..基于需求弹性的多模式铁路客运票价优化模型及算法[J].山东科学,2024,37(5):69-78,10.基金项目
北京市自然科学基金-丰台轨道交通前沿研究联合基金资助(L211026) （L211026）
