Article
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Preserved in Portico This version is not peer-reviewed
Shared Autonomous Vehicles as Last Mile Public Transport of Multimodal Train Trips
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Version 1
: Received: 28 August 2023 / Approved: 28 August 2023 / Online: 29 August 2023 (13:39:19 CEST)
A peer-reviewed article of this Preprint also exists.
Liu, Z.; Liu, J. Shared Autonomous Vehicles as Last-Mile Public Transport of Metro Trips. Sustainability 2023, 15, 14594. Liu, Z.; Liu, J. Shared Autonomous Vehicles as Last-Mile Public Transport of Metro Trips. Sustainability 2023, 15, 14594.
Abstract
The accessibility of public transportation is also known as the last mile problem, and it is one of the main obstacles that affect travelers to choose public transport. Although autonomous vehicles (AVs) have made much progress, they have not been officially put into commercial use. This paper adopts stated preference experiments to explore the impact of shared AVs on train trips’ last-mile travel behavior and takes Wuhan as an example for case analysis. First of all, this paper establishes a structural equation model (SEM) based on the theory of planned behavior to explore the latent psychological variables, including travelers’ attitudes (ATTs), subjective norms (SNs), perceived behavior control (PBC), and behavioral intention to use (BIU) toward AVs. These latent psychological variables are incorporated into the latent class (LC) logit model to establish a hybrid model to study the factors and degree of influence on the travel mode choice for the last mile of train trips. The results show that travelers have preference heterogeneity for the travel mode choice of the last mile of train trips. Through the analysis of LCs, education, career, and income significantly impact the classification of LCs. The latent psychological variables towards AVs have a significant impact on the travel behavior of respondents, but the impacts vary among different segments. Elastic analysis results illustrate that a 1% increase in the travel cost for shared AV in segment 1 leads to a 7.598% decrease in the choice probability of shared AV. Respondents from different segments vary significantly in their willingness to pay, and the value of travel time for high-income groups is relatively higher.
Keywords
autonomous vehicles; last-mile transport; preference heterogeneity; theory of planned behavior; latent class logit model
Subject
Engineering, Civil Engineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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