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Older adults and their willingness to use semi and fully autonomous vehicles: A structural equation analysis1
Journal of Transport Geography ( IF 5.899 ) Pub Date : 2021-07-09 , DOI: 10.1016/j.jtrangeo.2021.103133
Hany M. Hassan 1 , Mark R. Ferguson 2 , Brenda Vrkljan 3 , Bruce Newbold 4 , Saiedeh Razavi 5
Affiliation  

Advanced Vehicle Technologies (AVTs) have been purported to improve the behind-the-wheel experience of older adults (65+ years) by making driving safer, easier, and more enjoyable. The autonomous vehicle, in particular, is viewed as a promising innovation for those in older age groups. However, little is known about how older adults perceive AVTs as well as their attitudes, concerns, and willingness to use different levels of vehicular automation.

Using the results of an online survey of 1000 Canadians aged 65 and older (who live in the Greater Golden Horseshoe Region, Southern Ontario, Canada), this paper aims to identify and quantify key factors that can affect older adults' willingness to use vehicles with different levels of automation (e.g., semi vs. fully autonomous vehicles; SAV/FAV). Underlying this objective is a need to examine older adults' preferences and concerns for using emerging automotive technologies.

Using factor analysis and structural equation modeling, several factors were also identified that can influence older adults' openness to use SAV/FAV including the perception that the AVTs would actually assist with performing driving-related tasks, participant concerns about using SAV/FAV (mainly concerns about inadequate testing on SAV/FAV and being legally responsible if SAV/FAV technology failure causes an accident), using automobile as a passenger, gender, level of education, and the need for assistance with driving. Moreover, almost two thirds of participants reported having concerns about liability if an AVT failed resulting in a crash.

Findings of this study provide decision makers and car manufacturing companies with valuable insights regarding older adults' willingness and needs to use SAV/FAV.



中文翻译:

老年人及其使用半自动和全自动车辆的意愿:结构方程分析1

先进车辆技术 (AVT) 旨在通过使驾驶更安全、更轻松和更愉快,来改善老年人(65 岁以上)的驾驶体验。尤其是自动驾驶汽车,被视为对老年人群的一项有前途的创新。然而,人们对老年人如何看待 AVT 以及他们的态度、担忧和使用不同级别的车辆自动化的意愿知之甚少。

使用对 1000 名 65 岁及以上加拿大人(居住在加拿大安大略省南部大金马蹄地区)的在线调查结果,本文旨在确定和量化可能影响老年人使用汽车的意愿的关键因素。不同级别的自动化(例如,半自动与全自动车辆;SAV/FAV)。这一目标的基础是需要检查老年人对使用新兴汽车技术的偏好和担忧。

使用因子分析和结构方程模型,还确定了几个可以影响老年人使用 SAV/FAV 的开放性的因素,包括认为 AVT 实际上有助于执行与驾驶相关的任务、参与者对使用 SAV/FAV 的担忧(主要是对 SAV/FAV 测试不充分以及如果 SAV/FAV 技术故障导致事故承担法律责任的担忧)、使用汽车作为乘客、性别、教育水平以及驾驶辅助的需要。此外,几乎三分之二的参与者表示担心 AVT 故障导致撞车时的责任。

这项研究的结果为决策者和汽车制造公司提供了有关老年人使用 SAV/FAV 的意愿和需求的宝贵见解。

更新日期:2021-07-09
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