Abstract:
Objective Facing the increasing passenger flow at high-speed railway stations, eVTOLs (electric vertical takeoff and landing) vehicles, as a novel low-altitude passenger transport means, can serve as a supplement and extension to the HSR (high-speed railway) station feeder system. To clarify the behavioral patterns of HSR station passengers choosing eVTOL as feeder mode, and to provide theoretical support for the design of eVTOL operation modes and the formulation of service pricing strategies from demand side, it is necessary to conduct systematic research on the eVTOL feeder choice behavior of HSR station passengers.
Method Based on personal attributes and travel attributes, a system of influencing factors is constructed. A multinomial logit (MNL) discrete choice model is established to identify the key variables influencing HSR station feeder choice behavior and to analyze the variation characteristics of the feeder choice behavior. A questionnaire containing personal and travel attributes is designed, and empirical research is carried out accordingly. On the basis of completing sample data collection and validity testing, key influencing variables are identified based on the constructed MNL discrete choice model, achieving a quantitative analysis of the characteristics of the feeder choice behavior.
Result & Conclusion Compared to eVTOL, passengers prefer existing ground transportation modes (taxis or ride-hailing vehicles, private cars, public transit). Gender and income have no significant impact on the probability of passengers choosing eVTOL. Frequent HSR passengers have a significantly higher willingness to choose eVTOL. Travel cost, travel time, and transfer time have a significant negative inhibitory effect on the choice of travel mode. In most travel scenarios, when the eVTOL pricing is higher than 100 yuan, the choice probability of eVTOL does not exceed 15%; however, when eVTOL has obvious advantages in time efficiency and convenience, passengers' tolerance for the high travel costs of eVTOL increases.