基于Hotelling模型的高速铁路平行列车竞合关系研究OA

As China's high speed rail network continuously expands and improves,the increasing number of parallel trains has made the coopetition relationships among them increasingly complex.This paper classified parallel trains based on the differentiated categorization theory,and conducted an in-depth analysis of the coopetition relationships among parallel trains by adopting an improved Hotelling model.Meanwhile,it investigated the influence of fare adjustments on the comprehensive choice behavior of passengers with different income levels,and further analyzed how fare adjustments affect the revenue of single-class trains and total revenue of high speed rail parallel trains.The results show that passenger groups with different income levels not only exhibit significant differences in service preferences but also vary in their willingness to pay.Although fare fluctuation may result in a revenue decrease for individual trains due to the reduced passenger flow volume,from a holistic perspective,a reasonable fare strategy can increase the total revenue of the high speed rail operators.This paper reveals the complex coopetition rules among parallel trains,providing a theoretical basis for high speed rail operators to formulate differentiated fare strategies.Additionally,it helps achieve an optimized balance in the coopetition relationships among trains,thereby increasing operational revenue while improving overall service.