What Drives the Use of Pooled Autonomous Vehicles? Some Insights in California Users’ Perspective

IF 5.1 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society Pub Date : 2024-12-16 DOI:10.1016/j.tbs.2024.100975

Md. Mokhlesur Rahman , Jean-Claude Thill

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引用次数: 0

Abstract

The study investigates people’s perceptions of Pooled Autonomous Vehicles (PAVs) and the key determinants of household intentions to use them using a structural equation modeling framework. The analysis serves to test the validity of a comprehensive conceptual model. Data were sourced from the 2019 California Vehicle survey to estimate the complex association between dependent and independent variables via mediators. Results indicate that higher educational attainment, income, labor force participation, Asian population origin, and urban living are negatively associated with PAVs, and conversely for young and working-age adults. People who prefer public transportation, car-sharing, ride-hailing, and ride-sharing services would be more likely to use PAVs. The perceived usefulness, enjoyment, safety associated with Autonomous Vehicles (AVs) and prior knowledge of AVs significantly influence people to use PAVs, while the enjoyment of driving and the fear of losing control of vehicles are dissuasive factors. The study concludes that people’s travel behaviors, positive attitude to shared mobility, and psychological features of AVs are the key determinants of PAVs.

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是什么推动了共享自动驾驶汽车的使用？加州用户视角下的一些见解

该研究使用结构方程建模框架调查了人们对拼车自动驾驶汽车（pav）的看法，以及家庭使用pav意愿的关键决定因素。分析有助于检验一个综合概念模型的有效性。数据来自2019年加州汽车调查，通过中介估计因变量和自变量之间的复杂关联。结果表明，较高的受教育程度、收入、劳动力参与、亚洲人口来源和城市生活与paas呈负相关，而对于年轻人和工作年龄的成年人则相反。喜欢公共交通、汽车共享、乘车服务和乘车共享服务的人更有可能使用pav。与自动驾驶汽车（AVs）相关的感知有用性、享受性、安全性以及对自动驾驶汽车的先验知识显著影响人们使用自动驾驶汽车，而驾驶的享受和对车辆失去控制的恐惧是劝阻因素。研究认为，人们的出行行为、对共享出行的积极态度以及自动驾驶汽车的心理特征是自动驾驶汽车的关键决定因素。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Travel Behaviour and Society TRANSPORTATION-

CiteScore

9.80

自引率

7.70%

发文量

109

期刊介绍： Travel Behaviour and Society is an interdisciplinary journal publishing high-quality original papers which report leading edge research in theories, methodologies and applications concerning transportation issues and challenges which involve the social and spatial dimensions. In particular, it provides a discussion forum for major research in travel behaviour, transportation infrastructure, transportation and environmental issues, mobility and social sustainability, transportation geographic information systems (TGIS), transportation and quality of life, transportation data collection and analysis, etc.