Evaluation of the Impact of High-Speed Train Service Level on Passenger Flow

Abstract

Abstract Quantitative analysis of the relationship between high-speed train service level and passenger flow is the cornerstone of the scientific and reasonable formulation and optimization of train operation plan. The two most critical elements of train service level are travel speed and train service frequency. Based on the city level, the number of departure trains per day, and the number of departure passengers per day, the stations are divided into three classes: large stations, medium stations and small stations. Aiming at large stations OD (Origin-Destination), a Logit model was constructed to quantitatively analyze the impact of travel speed on passenger flow. Aiming at medium and small stations OD, the gravity model is constructed to quantitatively analyze the impact of train service frequency on passenger flow. Taking China’s Beijing-Shanghai high-speed rail line as an example, the results show: Large stations OD should reduce train stops and increase travel speed overall to attract more transferring passengers; Medium and small stations OD should increase train stops and increase service frequency to induce more potential passengers.