自动化
感知
心理干预
公共交通
预测能力
情感(语言学)
潜变量
探索性因素分析
技术接受模型
可用性
应用心理学
运输工程
心理学
计算机科学
工程类
结构方程建模
人机交互
机械工程
哲学
沟通
认识论
神经科学
精神科
人工智能
机器学习
作者
Anshamol Nanethan Rahim,Achille Fonzone,Grigorios Fountas,Lucy Downey
标识
DOI:10.1177/03611981231159116
摘要
Vehicle automation technology is expected to bring significant benefits to transit systems. For public transportation to continue being a viable mobility alternative to private modes, automated technologies are anticipated to be actively utilized in the future. Investigating public perceptions and their determinants at an early stage is important to inform policies that will support the acceptance and future adoption of automated buses. The objective of this study was to investigate the factors that affect intention to use automated buses, using an extended version of the Technology Acceptance Model. To that end, survey data were collected from bus users in Scotland. An exploratory factor analysis was conducted to identify the latent attitudinal constructs potentially influencing intentions to use automated buses. Considering the ordinal nature of the dependent variable, ordered models were estimated using the SPSS software. Age, gender, and experience with automated vehicle technologies were found to be crucial factors in the absence of attitudinal constructs. Young males with experience of using or seeing automated vehicle technologies were more likely to use automated buses at the early stage. The fear in relation to their navigation on roads, the perceived usefulness, enjoyment of using the system, trust, perceived safety, and security influenced how early one might adopt automated buses. Unlike the expectations, perceived ease of use did not emerge as significant. The sociodemographic variables lost their predictive power when used along with attitudinal latent variables. The findings of this study highlight the importance for policy interventions to increase public awareness about automated buses.
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