Perception of cyber attacks on automated vehicles and its influence on road sharing and ridership: Insights of the US perspective from a 2021 nationwide survey

IF 3.5 2区 工程技术 Q1 PSYCHOLOGY, APPLIED
Abdallah Kinero , Francisca Kasubi , Ahmed Hossain , Subasish Das , Boniphace Kutela
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Abstract

As transportation enters into the automation phase, the likelihood of cyber-attacks increases. Such a rise in cyber-attacks can be an obstacle to widespread vehicle automation and the use of automated vehicles (AVs). Understanding people’s perception of cyber-attacks on AVs and the impact of the perception of cyber-attacks on ridership and sharing the road with AVs have become important for widespread automation. Regardless of its importance to the ridership of AVs, little effort has been exerted to understand the influence of cyberattacks on the use and adoption of AVs. This study uniquely contributes by identifying key demographic factors such as age, education, income, political ideology, and geographic location that influence perceptions of AV cybersecurity risks. These perceptions are linked to actual behavioral outcomes like ridership and road-sharing with AVs. This study applied Bayesian Networks to the nationwide data the Pew Research Center collected in November 2021. Older individuals are found to be more likely to believe AVs are vulnerable to cyber-attacks, while higher-educated, higher-income, and metropolitan residents tend to feel more secure about AV safety when it comes to cybersecurity threats. Importantly, the perception of cyber-attacks affects behavior differently: those with higher education and income who perceive AVs as vulnerable are less likely to ride in them, while older residents are less willing to share the road with AVs. These insights offer valuable direction for policymakers to design targeted educational campaigns to improve public trust and encourage broader AV adoption.
自动驾驶汽车的网络攻击感知及其对道路共享和乘客的影响:来自2021年全国调查的美国视角的见解
随着交通运输进入自动化阶段,网络攻击的可能性也在增加。网络攻击的增加可能会阻碍汽车自动化的普及和自动驾驶汽车的使用。了解人们对网络攻击对自动驾驶汽车的看法,以及网络攻击对乘客和与自动驾驶汽车共享道路的影响,对于广泛的自动化非常重要。尽管网络攻击对自动驾驶汽车的载客量很重要,但人们很少努力了解网络攻击对自动驾驶汽车使用和采用的影响。这项研究通过确定影响AV网络安全风险感知的关键人口因素,如年龄、教育程度、收入、政治意识形态和地理位置,做出了独特的贡献。这些认知与实际的行为结果有关,比如乘坐自动驾驶汽车和与他人共享道路。这项研究将贝叶斯网络应用于皮尤研究中心于2021年11月收集的全国数据。研究发现,年龄较大的人更有可能认为自动驾驶汽车容易受到网络攻击,而受过高等教育、收入较高的大城市居民在面对网络安全威胁时往往对自动驾驶汽车的安全性更有信心。重要的是,对网络攻击的感知对行为的影响不同:那些受过高等教育和收入较高的人认为自动驾驶汽车易受攻击,他们不太可能乘坐自动驾驶汽车,而老年人则不太愿意与自动驾驶汽车共享道路。这些见解为决策者设计有针对性的教育活动提供了有价值的方向,以提高公众信任并鼓励更广泛地采用自动驾驶汽车。
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
CiteScore
7.60
自引率
14.60%
发文量
239
审稿时长
71 days
期刊介绍: Transportation Research Part F: Traffic Psychology and Behaviour focuses on the behavioural and psychological aspects of traffic and transport. The aim of the journal is to enhance theory development, improve the quality of empirical studies and to stimulate the application of research findings in practice. TRF provides a focus and a means of communication for the considerable amount of research activities that are now being carried out in this field. The journal provides a forum for transportation researchers, psychologists, ergonomists, engineers and policy-makers with an interest in traffic and transport psychology.
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