Impact of shared autonomous vehicles on choice of subway station connection methods

In order to explore the heterogeneity of preferences of travel choice and the potential of shared autonomous vehicles to solve the last-mile connection problem of train trips,the last-mile travel mode choice of travelers based on the theory of planned behavior was analyzed. First,a latent variable model was established to obtain travelers' attitudes,subjective norms,perceived behavior control,and behavioral intentions toward autonomous vehicles. Secondly,latent psychological variables into the random parameter Logit model and conduct an empirical analysis was incorporated to study factors of the behavior of the last mile of train trip. Finally,an elasticity analysis was conducted to study the impact of travel time on the travel mode choice. The research results show that the random coefficient Logit model has higher fitness than the traditional multinomial Logit model. Travelers' preferences for travel time are heterogeneous. The travel time coefficient is not a fixed value but follows a normal distribution with a mean of - 0.153 and a standard deviation of 0.520. Travelers' attitudes and perceived behavioral control towards autonomous vehicles have a significant impact on travel behavior. The probability of choosingshared autonomous vehicles increases by 0.799% with every 1% reduction in the travel time of autonomous vehicles;The probability of choosing shared autonomous vehicles increases by 1.155 % with every 1% increase in the travel time of shared bicycles. © 2023 Editorial Board of Jilin University. All rights reserved.